The shortcomings of modern cryptography and its weaknesses against computers that are becoming more powerful necessitate serious consideration of more robust security options. Quantum cryptography is sound, and its practical implementations are becoming more mature. Many applications can use quantum cryptography as a backbone, including key distribution, secure direct communications, large prime factorization, e-commerce, e-governance, quantum internet, and more. For this reason, quantum cryptography is gaining interest and importance among computer and security professionals. Quantum Cryptography and the Future of Cyber Security is an essential scholarly resource that provides the latest research and advancements in cryptography and cyber security through quantum applications. Highlighting a wide range of topics such as e-commerce, machine learning, and privacy, this book is ideal for security analysts, systems engineers, software security engineers, data scientists, vulnerability analysts, professionals, academicians, researchers, security professionals, policymakers, and students.

This book includes novel and state-of-the-art research discussions that articulate and report all research aspects, including theoretical and experimental prototypes and applications that incorporate sustainability into emerging applications. In recent years, sustainability and information and communication technologies (ICT) are highly intertwined, where sustainability resources and its management has attracted various researchers, stakeholders, and industrialists. The energy-efficient communication technologies have revolutionized the various smart applications like smart cities, healthcare, entertainment, and business. The book discusses and articulates emerging challenges in significantly reducing the energy consumption of communication systems and also explains development of a sustainable and energy-efficient mobile and wireless communication network. It includes best selected high-quality conference papers in different fields such as internet of things, cloud computing, data mining, artificial intelligence, machine learning, autonomous systems, deep learning, neural networks, renewable energy sources, sustainable wireless communication networks, QoS, network sustainability, and many other related areas.

This book concentrates on a wide range of advances related to IT cybersecurity management. The topics covered in this book include, among others, management techniques in security, IT risk management, the impact of technologies and techniques on security management, regulatory techniques and issues, surveillance technologies, security policies, security for protocol management, location management, GOS management, resource management, channel management, and mobility management. The authors also discuss digital contents copyright protection, system security management, network security management, security management in network equipment, storage area networks (SAN) management, information security management, government security policy, web penetration testing, security operations, and vulnerabilities management. The authors introduce the concepts, techniques, methods, approaches and trends needed by cybersecurity management specialists and educators for keeping current their cybersecurity management knowledge. Further, they provide a glimpse of future directions where cybersecurity management techniques, policies, applications, and theories are headed. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse cybersecurity management experts in the listed fields and edited by prominent cybersecurity management researchers and specialists.

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of things (IoT), and information security.

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Computing and Network Communications (CoCoNet'20), October 14-17, 2020, Chennai, India. The papers presented were carefully reviewed and selected from several initial submissions. The papers are organized in topical sections on Signal, Image and Speech Processing, Wireless and Mobile Communication, Internet of Things, Cloud and Edge Computing, Distributed Systems, Machine Intelligence, Data Analytics, Cybersecurity, Artificial Intelligence and Cognitive Computing and Circuits and Systems. The book is directed to the researchers and scientists engaged in various fields of computing and network communication domains.

Welcome to cyberspace - where all your computing and connection needs are on demand, and where security threats have never been more massive.A world without the advantages and convenience provided by cyberspace and the internet of things is now unimaginable. But do we truly grasp the threats to this massive, interconnected system? And do we really understand how to secure it? After all, cyber security is no longer just a technology problem; the effort to secure systems and society are now one and the same.This book discusses cyber security and cyber policy in an effort to improve the use and acceptance of security services. It argues that a substantive dialogue around cyberspace, cyber security and cyber policy is critical to a better understanding of the serious security issues we face.

This textbook covers security controls and management. It is for courses in cyber security education that follow National Initiative for Cybersecurity Education (NICE) work roles and framework that adopt the Competency-Based Education (CBE) method. The book follows the CBE general framework, meaning each chapter contains three sections, knowledge and questions, and skills/labs for skills and sbilities. The author makes an explicit balance between knowledge and skills material in information security, giving readers immediate applicable skills. The book is divided into several parts, including: Information Assurance / Encryption; Information Systems Security Management; Information Systems / Network Security; Information Technology Management; IT Management; and IT Risk Management.

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4-5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

This book includes the original, peer-reviewed research articles from the International Conference on Computational Intelligence and Computing (ICCIC 2020), held in September 2020 on a virtual platform jointly organized by SR Group of Institutions, Jhansi, India, IETE, Kolkata Centre, India, and Eureka Scientech Research Foundation, Kolkata India. It covers the latest research in image processing, computer vision and pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, artificial neural networks, fuzzy logic, evolutionary optimization, rough sets, web intelligence, intelligent agent technology, virtual reality, and visualization.

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.

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.

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.

This edited book provides a platform to bring together researchers, academia and industry collaborators to exchange their knowledge and work to develop better understanding about the scope of blockchain technology in business management applications of different sectors such as retail sector, supply chain and logistics, healthcare sector, manufacturing sector, judiciary, finance and government sector in terms of data quality and timeliness. The book presents original unpublished research papers on blockchain technology and business management on novel architectures, prototypes and case studies.

This book discusses understand cybersecurity management in decentralized finance (DeFi). It commences with introducing fundamentals of DeFi and cybersecurity to readers. It emphasizes on the importance of cybersecurity for decentralized finance by illustrating recent cyber breaches, attacks, and financial losses. The book delves into understanding cyber threats and adversaries who can exploit those threats. It advances with cybersecurity threat, vulnerability, and risk management in DeFi. The book helps readers understand cyber threat landscape comprising different threat categories for that can exploit different types of vulnerabilities identified in DeFi. It puts forward prominent threat modelling strategies by focusing on attackers, assets, and software. The book includes the popular blockchains that support DeFi include Ethereum, Binance Smart Chain, Solana, Cardano, Avalanche, Polygon, among others. With so much monetary value associated with all these technologies, the perpetrators are always lured to breach security by exploiting the vulnerabilities that exist in these technologies. For simplicity and clarity, all vulnerabilities are classified into different categories: arithmetic bugs, re-Entrancy attack, race conditions, exception handling, using a weak random generator, timestamp dependency, transaction-ordering dependence and front running, vulnerable libraries, wrong initial assumptions, denial of service, flash loan attacks, and vampire Since decentralized finance infrastructures are the worst affected by cyber-attacks, it is imperative to understand various security issues in different components of DeFi infrastructures and proposes measures to secure all components of DeFi infrastructures. It brings the detailed cybersecurity policies and strategies that can be used to secure financial institutions. Finally, the book provides recommendations to secure DeFi infrastructures from cyber-attacks.

This book gathers selected papers presented at the 3rd International Conference on Wireless Communications and Applications (ICWCA 2019), held at Hainan University, China. It covers up-to-date smart theories and approaches, as reflected in contemporary technical achievements in the area. The topics covered include: software-defined networking (SDN) and network function virtualization (NFV), future data center networks, 5G/6G mobile networks, QoS/QoE support in future networks, future Internet of things (IoT) networks, network fault management and service availability, and many others.

This book constitutes the refereed proceedings of the 14th IFIP WG 11.8 World Conference on Information Security Education, WISE 14, held virtually in June 2021. The 8 papers presented together with a special chapter showcasing the history of WISE and two workshop papers were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: a roadmap for building resilience; innovation in curricula; teaching methods and tools; and end-user security.

The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a useful handbook for practitioners and researchers in industry, and is also suitable as a text for advanced-level students in computer science.

The book presents papers from the 6th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2019), held at the University of Missouri, Kansas City, USA, on September 9 and 10, 2019 and organized in collaboration with VIT Chennai. The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on how to address the current challenges in the field. As such it is a valuable reference resource for researchers and practitioners in academia and industry.

Smart Homes (SH) offer a promising approach to assisted living for the ageing population. Yet the main obstacle to the rapid development and deployment of Smart Home (SH) solutions essentially arises from the nature of the SH field, which is multidisciplinary and involves diverse applications and various stakeholders. Accordingly, an alternative to a one-size-fits-all approach is needed in order to advance the state of the art towards an open SH infrastructure. This book makes a valuable and critical contribution to smart assisted living research through the development of new effective, integrated, and interoperable SH solutions. It focuses on four underlying aspects: (1) Sensing and Monitoring Technologies; (2) Context Interference and Behaviour Analysis; (3) Personalisation and Adaptive Interaction, and (4) Open Smart Home and Service Infrastructures, demonstrating how fundamental theories, models and algorithms can be exploited to solve real-world problems. This comprehensive and timely book offers a unique and essential reference guide for policymakers, funding bodies, researchers, technology developers and managers, end users, carers, clinicians, healthcare service providers, educators and students, helping them adopt and implement smart assisted living systems.

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.

Intrusion detection and protection is a key component in the framework of the computer and network security area. Although various classification algorithms and approaches have been developed and proposed over the last decade, the statistically-based method remains the most common approach to anomaly intrusion detection.""Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection"" bridges between applied statistical modeling techniques and network security to provide statistical modeling and simulating approaches to address the needs for intrusion detection and protection. Covering in-depth topics such as network traffic data, anomaly intrusion detection, and prediction events, this authoritative source collects must-read research for network administrators, information and network security professionals, statistics and computer science learners, and researchers in related fields.

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it "Deep Biometrics". The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications. Highlights the impact of deep learning over the field of biometrics in a wide area; Exploits the deeper and wider background of biometrics, such as privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.; Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics.