Understand how to protect your critical information infrastructure (CII). Billions of people use the services of critical infrastructure providers, such as ambulances, hospitals, and electricity and transport networks. This number is increasing rapidly, yet there appears to be little protection for many of these services. IT solutions have allowed organisations to increase their efficiency in order to be competitive. However, do we even know or realise what happens when IT solutions are not working - when they simply don't function at all or not in the way we expect? This book aims to teach the IT framework from within, allowing you to reduce dependence on IT systems and put in place the necessary processes and procedures to help protect your CII. Lessons Learned: Critical Information Infrastructure Protection is aimed at people who organise the protection of critical infrastructure, such as chief executive officers, business managers, risk managers, IT managers, information security managers, business continuity managers and civil servants. Most of the principles and recommendations described are also valid in organisations that are not critical infrastructure service providers. The book covers the following: - Lesson 1: Define critical infrastructure services. - Lesson 2: Describe the critical infrastructure service and determine its service level. - Lesson 3: Define the providers of critical infrastructure services. - Lesson 4: Identify the critical activities, resources and responsible persons needed to provide the critical infrastructure service. - Lesson 5: Analyse and identify the interdependencies of services and their reliance upon power supplies. - Lesson 6: Visualise critical infrastructure data. - Lesson 7: Identify important information systems and assess their importance. - Lesson 8: Identify and analyse the interconnections and dependencies of information systems. - Lesson 9: Focus on more critical services and prioritise your activities. - Lesson 10: Identify threats and vulnerabilities. - Lesson 11: Assess the impact of service disruptions. - Lesson 12: Assess the risks associated with the service and information system. - Lesson 13: Implement the necessary security measures. - Lesson 14: Create a functioning organisation to protect CII. - Lesson 15: Follow regulations to improve the cyber resilience of critical infrastructure services. - Lesson 16: Assess the security level of your information systems yourself and ask external experts to assess them as well. - Lesson 17: Scan networks yourself and ask external experts to scan them as well to find the systems that shouldn't be connected to the Internet but still are. - Lesson 18: Prepare business continuity and disaster recovery plans and test them at reasonable intervals. - Lesson 19: Establish reliable relations and maintain them. - Lesson 20: Share information and be a part of networks where information is shared. - Lesson 21: Train people to make sure they are aware of cyber threats and know the correct behaviour. - Lesson 22: If the CII protection system does not work as planned or give the desired output, make improvements. - Lesson 23: Be prepared to provide critical infrastructure services without IT systems. If possible, reduce dependence on IT systems. If possible, during a crisis, provide critical services at reduced functionality and/or in reduced volumes. Author Toomas Viira is a highly motivated, experienced and results-orientated cyber security risk manager and IT auditor. He has more than 20 years' experience in the IT and cyber security sectors.

Build a better defense against motivated, organized, professional attacks Advanced Penetration Testing: Hacking the World's Most Secure Networks takes hacking far beyond Kali linux and Metasploit to provide a more complex attack simulation. Featuring techniques not taught in any certification prep or covered by common defensive scanners, this book integrates social engineering, programming, and vulnerability exploits into a multidisciplinary approach for targeting and compromising high security environments. From discovering and creating attack vectors, and moving unseen through a target enterprise, to establishing command and exfiltrating data even from organizations without a direct Internet connection this guide contains the crucial techniques that provide a more accurate picture of your system's defense. Custom coding examples use VBA, Windows Scripting Host, C, Java, JavaScript, Flash, and more, with coverage of standard library applications and the use of scanning tools to bypass common defensive measures. Typical penetration testing consists of low-level hackers attacking a system with a list of known vulnerabilities, and defenders preventing those hacks using an equally well-known list of defensive scans. The professional hackers and nation states on the forefront of today's threats operate at a much more complex level and this book shows you how to defend your high security network. * Use targeted social engineering pretexts to create the initial compromise * Leave a command and control structure in place for long-term access * Escalate privilege and breach networks, operating systems, and trust structures * Infiltrate further using harvested credentials while expanding control Today's threats are organized, professionally-run, and very much for-profit. Financial institutions, health care organizations, law enforcement, government agencies, and other high-value targets need to harden their IT infrastructure and human capital against targeted advanced attacks from motivated professionals. Advanced Penetration Testing goes beyond Kali linux and Metasploit and to provide you advanced pen testing for high security networks.

More frequent and complex cyber threats require robust, automated and rapid responses from cyber security specialists. This book offers a complete study in the area of graph learning in cyber, emphasising graph neural networks (GNNs) and their cyber security applications. Three parts examine the basics; methods and practices; and advanced topics. The first part presents a grounding in graph data structures and graph embedding and gives a taxonomic view of GNNs and cyber security applications. Part two explains three different categories of graph learning including deterministic, generative and reinforcement learning and how they can be used for developing cyber defence models. The discussion of each category covers the applicability of simple and complex graphs, scalability, representative algorithms and technical details. Undergraduate students, graduate students, researchers, cyber analysts, and AI engineers looking to understand practical deep learning methods will find this book an invaluable resource.

More frequent and complex cyber threats require robust, automated and rapid responses from cyber security specialists. This book offers a complete study in the area of graph learning in cyber, emphasising graph neural networks (GNNs) and their cyber security applications. Three parts examine the basics; methods and practices; and advanced topics. The first part presents a grounding in graph data structures and graph embedding and gives a taxonomic view of GNNs and cyber security applications. Part two explains three different categories of graph learning including deterministic, generative and reinforcement learning and how they can be used for developing cyber defence models. The discussion of each category covers the applicability of simple and complex graphs, scalability, representative algorithms and technical details. Undergraduate students, graduate students, researchers, cyber analysts, and AI engineers looking to understand practical deep learning methods will find this book an invaluable resource.

The rapid growth of Internet-based technology has led to the widespread use of computer networks such as Web search and email service. With this increased use, computer systems have inevitably become targets for attack. Once these attacks successfully explore the vulnerabilities of an information system, the confidential information in the system can be accessed and used by those attackers who are not authorized to access to the information. Information Assurance and Security Technologies for Risk Assessment and Threat Management: Advances details current trends and advances in information assurance and security, as well as explores emerging applications. The book aims to provides the readers with an opportunity to build a strong, fundamental understanding of theory and methods and, thus, to find solutions for many of today s most interesting and challenging problems regarding information assurance and security.

This book serves as a guide to help the reader develop an awareness of security vulnerabilities and attacks, and encourages them to be circumspect when using the various computer resources and tools available today. For experienced users, Computer Science Security presents a wide range of tools to secure legacy software and hardware. Computing has infiltrated all fields nowadays. No one can escape this wave and be immune to security attacks, which continue to evolve, gradually reducing the level of expertise needed by hackers. It is high time for each and every user to acquire basic knowledge of computer security, which would enable them to mitigate the threats they may face both personally and professionally. It is this combined expertise of individuals and organizations that will guarantee a minimum level of security for families, schools, the workplace and society in general.

This new book establishes a comprehensive framework for network security design, unifying the many concepts and aspects of network security and enabling all users to employ a common security foundation. It is presented from the perspective of fundamental principles underlying networking, network control algorithms and security. Using an accessible style and careful explanations, the principles and methodology address design concepts for current and future security concerns for networks. "Principles of Secure Network Systems Design" presents the topic in three basic parts. Part one covers the basic background of network security and the current scope for security in all types of networks and organizations. Part two focuses on the essential nature of network security and a scientific methodology for secure network design. Lastly, part three discusses concrete applications of the design concepts with real world networks, using three comprehensive case studies oriented around ATM networks. Topics and Features: * Holistic view of network security design, going beyond cryptographic issues * Comprehensive framework for a scientific basis of network security design * Integrated view of network security with networks¿ operational and management processes * Extensive case study through modeling & large-scale distributed simulation of ATM network * New approach to both security attack detection and strengthening networks against security attacks and vulnerabilities The book is an essential and practical resource for all professionals, policy makers, practitioners, and advanced students in networking, information systems, computer engineering & science, communications engineering, network design, and security consultants seeking a comprehensive framework for secure network systems design. It is also suitable for self-study purposes by professionals, as well as for advanced course use in network security.

Cybersecurity risk is a top-of-the-house issue for all organizations. Cybertax-Managing the Risks and Results is a must read for every current or aspiring executive seeking the best way to manage and mitigate cybersecurity risk. It examines cybersecurity as a tax on the organization and charts the best ways leadership can be cybertax efficient. Viewing cybersecurity through the cybertax lens provides an effective way for non-cybersecurity experts in leadership to manage and govern cybersecurity in their organizations The book outlines questions and leadership techniques to gain the relevant information to manage cybersecurity threats and risk. The book enables executives to: Understand cybersecurity risk from a business perspective Understand cybersecurity risk as a tax (cybertax) Understand the cybersecurity threat landscape Drive business-driven questions and metrics for managing cybersecurity risk Understand the Seven C's for managing cybersecurity risk Governing the cybersecurity function is as important as governing finance, sales, human resources, and other key leadership responsibilities Executive leadership needs to manage cybersecurity risk like they manage other critical risks, such as sales, finances, resources, and competition. This book puts managing cybersecurity risk on an even plane with these other significant risks that demand leader ships' attention. The authors strive to demystify cybersecurity to bridge the chasm from the top-of-the-house to the cybersecurity function. This book delivers actionable advice and metrics to measure and evaluate cybersecurity effectiveness across your organization.

This book discusses and summarizes current research issues, identifies challenges, and outlines future directions for proactive and dynamic network defense. This book also presents the latest fundamental research results toward understanding proactive and dynamic network defense by top researchers in related areas. It includes research results that offer formal frameworks to define proactive and dynamic network defense, and develop novel models to analyze and evaluate proactive designs and strategies in computer systems, network systems, cyber-physical systems and wireless networks. A wide variety of scientific techniques have been highlighted to study these problems in the fundamental domain. As the convergence of our physical and digital worlds grows fast pace, protecting information systems from being tampered or unauthorized access is becoming one of the most importance issues. The traditional mechanisms of network defense are built upon a static, passive, and reactive nature, which has insufficient to defend against today's attackers that attempt to persistently analyze, probe, circumvent or fool such mechanisms. It has not yet been fully investigated to address the early stage of "cyber kill chain" when adversaries carry out sophisticated reconnaissance to plan attacks against a defense system. Recently, proactive and dynamic network defense has been proposed as an important alternative towards comprehensive network defense. Two representative types of such defense are moving target defense (MTD) and deception-based techniques. These emerging approaches show great promise to proactively disrupt the cyber-attack kill chain and are increasingly gaining interest within both academia and industry. However, these approaches are still in their preliminary design stage. Despite the promising potential, there are research issues yet to be solved regarding the effectiveness, efficiency, costs and usability of such approaches. In addition, it is also necessary to identify future research directions and challenges, which is an essential step towards fully embracing proactive and dynamic network defense. This book will serve as a great introduction for advanced-level computer science and engineering students who would like to start R&D efforts in the field of proactive and dynamic network defense. Researchers and professionals who work in this related field will also find this book useful as a reference.

This handbook discusses challenges and limitations in existing solutions, and presents state-of-the-art advances from both academia and industry, in big data analytics and digital forensics. The second chapter comprehensively reviews IoT security, privacy, and forensics literature, focusing on IoT and unmanned aerial vehicles (UAVs). The authors propose a deep learning-based approach to process cloud's log data and mitigate enumeration attacks in the third chapter. The fourth chapter proposes a robust fuzzy learning model to protect IT-based infrastructure against advanced persistent threat (APT) campaigns. Advanced and fair clustering approach for industrial data, which is capable of training with huge volume of data in a close to linear time is introduced in the fifth chapter, as well as offering an adaptive deep learning model to detect cyberattacks targeting cyber physical systems (CPS) covered in the sixth chapter. The authors evaluate the performance of unsupervised machine learning for detecting cyberattacks against industrial control systems (ICS) in chapter 7, and the next chapter presents a robust fuzzy Bayesian approach for ICS's cyber threat hunting. This handbook also evaluates the performance of supervised machine learning methods in identifying cyberattacks against CPS. The performance of a scalable clustering algorithm for CPS's cyber threat hunting and the usefulness of machine learning algorithms for MacOS malware detection are respectively evaluated. This handbook continues with evaluating the performance of various machine learning techniques to detect the Internet of Things malware. The authors demonstrate how MacOSX cyberattacks can be detected using state-of-the-art machine learning models. In order to identify credit card frauds, the fifteenth chapter introduces a hybrid model. In the sixteenth chapter, the editors propose a model that leverages natural language processing techniques for generating a mapping between APT-related reports and cyber kill chain. A deep learning-based approach to detect ransomware is introduced, as well as a proposed clustering approach to detect IoT malware in the last two chapters. This handbook primarily targets professionals and scientists working in Big Data, Digital Forensics, Machine Learning, Cyber Security Cyber Threat Analytics and Cyber Threat Hunting as a reference book. Advanced level-students and researchers studying and working in Computer systems, Computer networks and Artificial intelligence will also find this reference useful.

Enterprise Level Security 2: Advanced Topics in an Uncertain World follows on from the authors' first book on Enterprise Level Security (ELS), which covered the basic concepts of ELS and the discoveries made during the first eight years of its development. This book follows on from this to give a discussion of advanced topics and solutions, derived from 16 years of research, pilots, and operational trials in putting an enterprise system together. The chapters cover specific advanced topics derived from painful mistakes and numerous revisions of processes. This book covers many of the topics omitted from the first book including multi-factor authentication, cloud key management, enterprise change management, entity veracity, homomorphic computing, device management, mobile ad hoc, big data, mediation, and several other topics. The ELS model of enterprise security is endorsed by the Secretary of the Air Force for Air Force computing systems and is a candidate for DoD systems under the Joint Information Environment Program. The book is intended for enterprise IT architecture developers, application developers, and IT security professionals. This is a unique approach to end-to-end security and fills a niche in the market.

The book is a collection of high-quality research papers presented at 7th Euro-China Conference on Intelligent Data Analysis and Applications, hosted by Communication University of Zhejiang, China and technically co-sponsored by Shandong University of Science and Technology, China; Zhejiang Lab, China; and Fujian University of Technology, China. The book covers areas like intelligent data analysis, computational intelligences, signal processing, and all associated applications of artificial intelligence.

After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.

Attacks on information systems and applications have become more prevalent with new advances in technology. Management of security and quick threat identification have become imperative aspects of technological applications. Information Technology Risk Management and Compliance in Modern Organizations is a pivotal reference source featuring the latest scholarly research on the need for an effective chain of information management and clear principles of information technology governance. Including extensive coverage on a broad range of topics such as compliance programs, data leak prevention, and security architecture, this book is ideally designed for IT professionals, scholars, researchers, and academicians seeking current research on risk management and compliance.

Simplicity and Uniqueness Structure of the book content Simple English and Ease of Undersatanding Exhaustive research in the content of the book

Ensure the success of your security programme by understanding users' motivations"This book cuts to the heart of many of the challenges in risk management, providing advice and tips from interviews as well as models that can be employed easily. Leron manages to do this without being patronising or prescriptive, making it an easy read with some very real practical takeaways."Thom Langford, Chief Information Security Officer at Publicis Groupe"Based on real world examples the book provides valuable insights into the relationship of information security, compliance, business economics and decision theory. Drawing on interdisciplinary studies, commentary from the field and his own research Leron gives the reader the necessary background and practical tools to drive improvements in their own information security program."Daniel Schatz, Director for Threat & Vulnerability Management at Thomson Reuters In today's corporations, information security professionals have a lot on their plate. In the face of constantly evolving cyber threats they must comply with numerous laws and regulations, protect their company's assets and mitigate risks to the furthest extent possible.Security professionals can often be ignorant of the impact that implementing security policies in a vacuum can have on the end users' core business activities. These end users are, in turn, often unaware of the risk they are exposing the organisation to. They may even feel justified in finding workarounds because they believe that the organisation values productivity over security. The end result is a conflict between the security team and the rest of the business, and increased, rather than reduced, risk.This can be addressed by factoring in an individual's perspective, knowledge and awareness, and a modern, flexible and adaptable information security approach. The aim of the security practice should be to correct employee misconceptions by understanding their motivations and working with the users rather than against them - after all, people are a company's best assets.Product descriptionBased on insights gained from academic research as well as interviews with UK-based security professionals from various sectors, The Psychology of Information Security - Resolving conflicts between security compliance and human behaviour explains the importance of careful risk management and how to align a security programme with wider business objectives, providing methods and techniques to engage stakeholders and encourage buy-in.The Psychology of Information Security redresses the balance by considering information security from both viewpoints in order to gain insight into security issues relating to human behaviour , helping security professionals understand how a security culture that puts risk into context promotes compliance. About the authorLeron Zinatullin (zinatullin.com) is an experienced risk consultant specialising in cyber security strategy, management and delivery. He has led large-scale, global, high-value security transformation projects with a view to improve cost performance and support business strategy.He has extensive knowledge and practical experience in solving information security, privacy and architectural issues across multiple industry sectors.He has an MSc in information security from University College London, where he focused on the human aspects of information security. His research was related to modelling conflicts between security compliance and human behaviour.Series informationThe Psychology of Information Security is part of the Fundamentals Series, co-published by IT Governance Publishing and Information Security Buzz.Ensure the success of your security programmes by understanding the psychology of information security. Buy this book today.

Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.

This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical.

1. It is a practical guide to understanding and implementation 2. It assumes no prior in depth knowledge 3. It is written in plain language and may be understood by anyone, whether or not they are qualified or involved with IT. It is therefore equally suitable for senior management, IT practitioners, students and interested individuals.

The book serves as a connecting medium between various domains and Blockchain technology, discussing and embracing how Blockchain technology is transforming all the major sectors of the society. The book facilitates sharing of information, case studies, theoretical and practical knowledge required for Blockchain transformations in various sectors. The book covers different areas that provide the foundational knowledge and comprehensive information about the transformations by Blockchain technology in the fields of business, healthcare, finance, education, supply-chain, sustainability and governance. The book pertains to students, academics, researchers, professionals, and policy makers working in the area of Blockchain technology and related fields.

Since the invention of computers or machines, scientists and researchers are trying very hard to enhance their capabilities to perform various tasks. As a consequence, the capabilities of computers are growing exponentially day by day in terms of diverse working domains, versatile jobs, processing speed, and reduced size. Now, we are in the race to make the computers or machines as intelligent as human beings. Artificial Intelligence (AI) came up as a way of making a computer or computer software think in the similar manner the intelligent humans think. AI is inspired by the study of human brain like how humans think, learn, decide and act while trying to solve a problem. The outcomes of this study are the basis of developing intelligent software and systems or Intelligent Computing (IC). An IC system has the capability of reasoning, learning, problem solving, perception, and linguistic intelligence. The IC systems consist of AI techniques as well as other emerging techniques that make a system intelligent. The use of intelligent computing has been seen in almost every sub-domain of computer science such as networking, software engineering, gaming, natural language processing, computer vision, image processing, data science, robotics, expert systems, and security. Now a days, the use of IC can also be seen for solving various complex problems in diverse domains such as for predicting disease in medical science, predicting land fertility or crop productivity in agriculture science, predicting market growth in economics, weather forecasting and so on. For all these reasons, this book presents the advances in AI techniques, under the umbrella of IC. In this context, the book includes the recent research works have been done in the areas of machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems and so on. This book provides theoretical, algorithmic, simulation, and implementation-based recent research advancements related to the Intelligent Computing.

1. Equip professionals with holistic and structured knowledge regarding establishing and implementing privacy framework and program. 2. Gain practical guidance, tools, and templates to manage complex privacy and data protection subjects with cross-functional teams. 3. Gain the knowledge in measuring privacy program and operating it in a more efficient and effective manner.

This book provides an advanced understanding of cyber threats as well as the risks companies are facing. It includes a detailed analysis of many technologies and approaches important to decreasing, mitigating or remediating those threats and risks. Cyber security technologies discussed in this book are futuristic and current. Advanced security topics such as secure remote work, data security, network security, application and device security, cloud security, and cyber risk and privacy are presented in this book. At the end of every chapter, an evaluation of the topic from a CISO's perspective is provided. This book also addresses quantum computing, artificial intelligence and machine learning for cyber security The opening chapters describe the power and danger of quantum computing, proposing two solutions for protection from probable quantum computer attacks: the tactical enhancement of existing algorithms to make them quantum-resistant, and the strategic implementation of quantum-safe algorithms and cryptosystems. The following chapters make the case for using supervised and unsupervised AI/ML to develop predictive, prescriptive, cognitive and auto-reactive threat detection, mitigation, and remediation capabilities against advanced attacks perpetrated by sophisticated threat actors, APT and polymorphic/metamorphic malware. CISOs must be concerned about current on-going sophisticated cyber-attacks, and can address them with advanced security measures. The latter half of this book discusses some current sophisticated cyber-attacks and available protective measures enabled by the advancement of cybersecurity capabilities in various IT domains. Chapters 6-10 discuss secure remote work; chapters 11-17, advanced data security paradigms; chapters 18-28, Network Security; chapters 29-35, application and device security; chapters 36-39, Cloud security; and chapters 40-46 organizational cyber risk measurement and event probability. Security and IT engineers, administrators and developers, CIOs, CTOs, CISOs, and CFOs will want to purchase this book. Risk personnel, CROs, IT and Security Auditors as well as security researchers and journalists will also find this useful.

This book discusses artificial intelligence (AI) and cybersecurity from multiple points of view. The diverse chapters reveal modern trends and challenges related to the use of artificial intelligence when considering privacy, cyber-attacks and defense as well as applications from malware detection to radio signal intelligence. The chapters are contributed by an international team of renown researchers and professionals in the field of AI and cybersecurity. During the last few decades the rise of modern AI solutions that surpass humans in specific tasks has occurred. Moreover, these new technologies provide new methods of automating cybersecurity tasks. In addition to the privacy, ethics and cybersecurity concerns, the readers learn several new cutting edge applications of AI technologies. Researchers working in AI and cybersecurity as well as advanced level students studying computer science and electrical engineering with a focus on AI and Cybersecurity will find this book useful as a reference. Professionals working within these related fields will also want to purchase this book as a reference.