As industrial control systems (ICS), including SCADA, DCS, and other process control networks, become Internet-facing, they expose crucial services to attack. Threats like Duqu, a sophisticated worm found in the wild that appeared to share portions of its code with the Stuxnet worm, emerge with increasing frequency.

Explaining how to develop and implement an effective cybersecurity program for ICS, Cybersecurity for Industrial Control Systems: SCADA, DCS, PLC, HMI, and SIS provides you with the tools to ensure network security without sacrificing the efficiency and functionality of ICS.
Highlighting the key issues that need to be addressed, the book begins with a thorough introduction to ICS. It discusses business, cost, competitive, and regulatory drivers and the conflicting priorities of convergence. Next, it explains why security requirements differ from IT to ICS. It differentiates when standard IT security solutions can be used and where SCADA-specific practices are required.
The book examines the plethora of potential threats to ICS, including hi-jacking malware, botnets, spam engines, and porn dialers. It outlines the range of vulnerabilities inherent in the ICS quest for efficiency and functionality that necessitates risk behavior such as remote access and control of critical equipment. Reviewing risk assessment techniques and the evolving risk assessment process, the text concludes by examining what is on the horizon for ICS security, including IPv6, ICSv6 test lab designs, and IPv6 and ICS sensors.

Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware detection. Integrating theory with practical techniques and experimental results, it focuses on malware detection applications for email worms, malicious code, remote exploits, and botnets.

The authors describe the systems they have designed and developed: email worm detection using data mining, a scalable multi-level feature extraction technique to detect malicious executables, detecting remote exploits using data mining, and flow-based identification of botnet traffic by mining multiple log files. For each of these tools, they detail the system architecture, algorithms, performance results, and limitations.

• Discusses data mining for emerging applications, including adaptable malware detection, insider threat detection, firewall policy analysis, and real-time data mining
• Includes four appendices that provide a firm foundation in data management, secure systems, and the semantic web
• Describes the authors tools for stream data mining

From algorithms to experimental results, this is one of the few books that will be equally valuable to those in industry, government, and academia. It will help technologists decide which tools to select for specific applications, managers will learn how to determine whether or not to proceed with a data mining project, and developers will find innovative alternative designs for a range of applications.

Thor's Microsoft Security Bible provides a one-stop-shop for Microsoft-related security techniques and procedures as applied to the typical deployment of a Microsoft-based infrastructure. Written by world-renowned security expert Timothy Thor Mullen, the book presents a fascinating collection of practical and immediately implementable Microsoft security techniques, processes and methodologies uniquely illustrated through real-world process examples. This book contains detailed security concepts and methodologies described at every level: Server, Client, Organizational Structure, Platform-specific security options, and application specific security (IIS, SQL, Active Directory, etc.). It also includes new, never-before-published security tools complete with source code; detailed technical information on security processes for all major Microsoft applications; unique project-based storytelling delivery, combining multiple security techniques and methods together for real-world solutions to security challenges in actual business use cases; reference-style content for access to specific application security techniques and methods; actual author opinion and guidance as not only HOW to go about security particular applications, but WHY to do so. This book will be of interest to systems and network administrators, IT managers, security and network engineers, and database administrators.

This book gathers selected papers from the Second International Symposium on Software Reliability, Industrial Safety, Cyber Security and Physical Protection of Nuclear Power Plant, held in Chengdu, China on August 23-25, 2017. The symposium provided a platform of technical exchange and experience sharing for a broad range of experts, scholars and nuclear power practitioners. The book reflects the state of the art and latest trends in nuclear instrumentation and control system technologies, as well as China's growing influence in this area. It offers a valuable resource for both practitioners and academics working in the field of nuclear instrumentation, control systems and other safety-critical systems, as well as nuclear power plant managers, public officials and regulatory authorities.

Updated annually to keep up with the increasingly fast pace of change in the field, the Information Security Management Handbook is the single most comprehensive and up-to-date resource on information security (IS) and assurance. Facilitating the up-to-date understanding required of all IS professionals, the Information Security Management Handbook, Sixth Edition, Volume 5 reflects the latest issues in information security and the CISSP (R) Common Body of Knowledge (CBK (R)). This edition updates the benchmark Volume 1 with a wealth of new information to help IS professionals address the challenges created by complex technologies and escalating threats to information security. Topics covered include chapters related to access control, physical security, cryptography, application security, operations security, and business continuity and disaster recovery planning. The updated edition of this bestselling reference provides cutting-edge reporting on mobile device security, adaptive threat defense, Web 2.0, virtualization, data leakage, governance, and compliance. Also available in a fully searchable CD-ROM format, it supplies you with the tools and understanding to stay one step ahead of evolving threats and ever-changing standards and regulations.

Security without Obscurity: Frequently Asked Questions (FAQ) complements Jeff Stapleton's three other Security without Obscurity books to provide clear information and answers to the most commonly asked questions about information security (IS) solutions that use or rely on cryptography and key management methods. There are good and bad cryptography, bad ways of using good cryptography, and both good and bad key management methods. Consequently, information security solutions often have common but somewhat unique issues. These common and unique issues are expressed as an FAQ organized by related topic areas. The FAQ in this book can be used as a reference guide to help address such issues. Cybersecurity is based on information technology (IT) that is managed using IS controls, but there is information, misinformation, and disinformation. Information reflects things that are accurate about security standards, models, protocols, algorithms, and products. Misinformation includes misnomers, misunderstandings, and lack of knowledge. Disinformation can occur when marketing claims either misuse or abuse terminology, alluding to things that are inaccurate or subjective. This FAQ provides information and distills misinformation and disinformation about cybersecurity. This book will be useful to security professionals, technology professionals, assessors, auditors, managers, and hopefully even senior management who want a quick, straightforward answer to their questions. It will serve as a quick reference to always have ready on an office shelf. As any good security professional knows, no one can know everything.

First developed in the early 1980s by Lenstra, Lenstra, and Lov sz, the LLL algorithm was originally used to provide a polynomial-time algorithm for factoring polynomials with rational coefficients. It very quickly became an essential tool in integer linear programming problems and was later adapted for use in cryptanalysis. This book provides an introduction to the theory and applications of lattice basis reduction and the LLL algorithm. With numerous examples and suggested exercises, the text discusses various applications of lattice basis reduction to cryptography, number theory, polynomial factorization, and matrix canonical forms.

This practically-oriented textbook introduces the fundamentals of designing digital surveillance systems powered by intelligent computing techniques. The text offers comprehensive coverage of each aspect of the system, from camera calibration and data capture, to the secure transmission of surveillance data, in addition to the detection and recognition of individual biometric features and objects. The coverage concludes with the development of a complete system for the automated observation of the full lifecycle of a surveillance event, enhanced by the use of artificial intelligence and supercomputing technology. This updated third edition presents an expanded focus on human behavior analysis and privacy preservation, as well as deep learning methods. Topics and features: contains review questions and exercises in every chapter, together with a glossary; describes the essentials of implementing an intelligent surveillance system and analyzing surveillance data, including a range of biometric characteristics; examines the importance of network security and digital forensics in the communication of surveillance data, as well as issues of issues of privacy and ethics; discusses the Viola-Jones object detection method, and the HOG algorithm for pedestrian and human behavior recognition; reviews the use of artificial intelligence for automated monitoring of surveillance events, and decision-making approaches to determine the need for human intervention; presents a case study on a system that triggers an alarm when a vehicle fails to stop at a red light, and identifies the vehicle's license plate number; investigates the use of cutting-edge supercomputing technologies for digital surveillance, such as FPGA, GPU and parallel computing. This concise and accessible work serves as a classroom-tested textbook for graduate-level courses on intelligent surveillance. Researchers and engineers interested in entering this area will also find the book suitable as a helpful self-study reference.

As companies turn to burgeoning cloud computing technology to streamline and save money, security is a fundamental concern. Loss of certain control and lack of trust make this transition difficult unless you know how to handle it. "Securing the Cloud" discusses making the move to the cloud while securing your piece of it The cloud offers flexibility, adaptability, scalability, and in the case of security-resilience. This book details the strengths and weaknesses of securing your company's information with different cloud approaches. Attacks can focus on your infrastructure, communications network, data, or services. The author offers a clear and concise framework to secure your business' assets while making the most of this new technology.
Named The 2011 Best Identity Management Book by "InfoSec Reviews"Provides a sturdy and stable framework to secure your piece of the cloud, consideringalternate approaches such as private vs. public clouds, SaaS vs. IaaS, and loss of control and lack of trustDiscusses the cloud's impact on security roles, highlighting security as a service, data backup, and disaster recoveryDetails the benefits of moving to the cloud-solving for limited availability of space, power, and storage"

Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning Forensics for Law Enforcement, Security, and Intelligence integrates an assortment of deductive and instructive tools, techniques, and technologies to arm professionals with the tools they need to be prepared and stay ahead of the game.

Step-by-step instructions

The book is a practical guide on how to conduct forensic investigations using self-organizing clustering map (SOM) neural networks, text extraction, and rule generating software to "interrogate the evidence." This powerful data is indispensable for fraud detection, cybersecurity, competitive counterintelligence, and corporate and litigation investigations. The book also provides step-by-step instructions on how to construct adaptive criminal and fraud detection systems for organizations.

Prediction is the key

Internet activity, email, and wireless communications can be captured, modeled, and deployed in order to anticipate potential cyber attacks and other types of crimes. The successful prediction of human reactions and server actions by quantifying their behaviors is invaluable for pre-empting criminal activity. This volume assists chief information officers, law enforcement personnel, legal and IT professionals, investigators, and competitive intelligence analysts in the strategic planning needed to recognize the patterns of criminal activities in order to predict when and where crimes and intrusions are likely to take place.

Security for Microsoft Windows System is a handy guide that features security information for Windows beginners and professional admin. It provides information on security basics and tools for advanced protection against network failures and attacks. The text is divided into six chapters that cover details about network attacks, system failures, audits, and social networking. The book introduces general security concepts including the principles of information security, standards, regulation, and compliance; authentication, authorization, and accounting; and access control. It also covers the cryptography and the principles of network, system, and organizational and operational security, including risk analysis and disaster recovery. The last part of the book presents assessments and audits of information security, which involve methods of testing, monitoring, logging, and auditing. This handy guide offers IT practitioners, systems and network administrators, and graduate and undergraduate students in information technology the details they need about security concepts and issues. Non-experts or beginners in Windows systems security will also find this book helpful.

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible paths for future research in this area. This book fills this need. From basic concepts in machine learning and data mining to advanced problems in the machine learning domain, Data Mining and Machine Learning in Cybersecurity provides a unified reference for specific machine learning solutions to cybersecurity problems. It supplies a foundation in cybersecurity fundamentals and surveys contemporary challenges-detailing cutting-edge machine learning and data mining techniques. It also: Unveils cutting-edge techniques for detecting new attacks Contains in-depth discussions of machine learning solutions to detection problems Categorizes methods for detecting, scanning, and profiling intrusions and anomalies Surveys contemporary cybersecurity problems and unveils state-of-the-art machine learning and data mining solutions Details privacy-preserving data mining methods This interdisciplinary resource includes technique review tables that allow for speedy access to common cybersecurity problems and associated data mining methods. Numerous illustrative figures help readers visualize the workflow of complex techniques and more than forty case studies provide a clear understanding of the design and application of data mining and machine learning techniques in cybersecurity.

Although the patch management process is neither exceedingly technical nor extremely complicated, it is still perceived as a complex issue that's often left to the last minute or resolved with products that automate the task. Effective patch management is not about technology; it's about having a formal process in place that can deploy patches to vulnerable systems quickly. Helping you figure out exactly what to patch and which patches to use, Security Patch Management provides detailed guidance through the process of creating and implementing an effective and efficient patch management process. It uses a format that is easy-to-understand and applicable regardless of the operating system, network device, or patch deployment tool. The author illustrates the proper implementation of patches on devices and systems within various infrastructures to provide the insight required to: Design your own patch release process and keep it action ready Test the effectiveness of your patches Keep up with the latest patch releases Prioritize the vulnerabilities that need to be addressed Apply patches quickly and without draining essential network resources This book supplies the tools and guidelines you need to stay one step ahead of the exploits on the horizon. It will help you establish a patch management process that not only protects your organization against zero-day attacks, but also helps you become more proactive when it comes to this critical facet of information security.

This important textbook introduces the concept of intrusion detection, discusses various approaches for intrusion detection systems (IDS), and presents the architecture and implementation of IDS. It emphasizes on the prediction and learning algorithms for intrusion detection and highlights techniques for intrusion detection of wired computer networks and wireless sensor networks. The performance comparison of various IDS via simulation will also be included.

Web applications are used every day by millions of users, which is why they are one of the most popular vectors for attackers. Obfuscation of code has allowed hackers to take one attack and create hundreds-if not millions-of variants that can evade your security measures. "Web Application Obfuscation "takes a look at common Web infrastructure and security controls from an attacker's perspective, allowing the reader to understand the shortcomings of their security systems. Find out how an attacker would bypass different types of security controls, how these very security controls introduce new types of vulnerabilities, and how to avoid common pitfalls in order to strengthen your defenses.
Named a 2011 Best Hacking and Pen Testing Book by "InfoSec Reviews"Looks at security tools like IDS/IPS that are often the only defense in protecting sensitive data and assetsEvaluates Web application vulnerabilties from the attacker's perspective and explains how these very systems introduce new types of vulnerabilitiesTeaches how to secure your data, including info on browser quirks, new attacks and syntax tricks to add to your defenses against XSS, SQL injection, and more

A well-rounded, accessible exposition of honeypots in wired and wireless networks, this book addresses the topic from a variety of perspectives. Following a strong theoretical foundation, case studies enhance the practical understanding of the subject. The book covers the latest technology in information security and honeypots, including honeytokens, honeynets, and honeyfarms. Additional topics include denial of service, viruses, worms, phishing, and virtual honeypots and forensics. The book also discusses practical implementations and the current state of research.

This book provides a comprehensive introduction to hardware security, from specification to implementation. Applications discussed include embedded systems ranging from small RFID tags to satellites orbiting the earth. The authors describe a design and synthesis flow, which will transform a given circuit into a secure design incorporating counter-measures against fault attacks. In order to address the conflict between testability and security, the authors describe innovative design-for-testability (DFT) computer-aided design (CAD) tools that support security challenges, engineered for compliance with existing, commercial tools. Secure protocols are discussed, which protect access to necessary test infrastructures and enable the design of secure access controllers.

This unique book represents the first rigorous and comprehensive study of firewall policy design and analysis. Firewalls are the most critical and widely deployed intrusion prevention systems. Designing new firewall policies and analyzing existing firewall policies have been difficult and error-prone. This book presents scientifically sound and practically useful methods for designing and analyzing firewall policies.This book is useful to a variety of readers. First, it can be used as a handbook for network/firewall administrators and network security professionals. Second, it can be used as an advanced textbook for graduate students and senior undergraduate students in computer science and engineering. Third, it is also suitable for non-experts in network security who wish to understand more about firewalls. The presentation of the book is detailed enough to capture the interest of curious readers, and complete enough to provide the necessary background material needed to delve further into the subject of firewalls and network security.

Security and Policy Driven Computing covers recent advances in security, storage, parallelization, and computing as well as applications. The author incorporates a wealth of analysis, including studies on intrusion detection and key management, computer storage policy, and transactional management. The book first describes multiple variables and index structure derivation for high dimensional data distribution and applies numeric methods to proposed search methods. It also focuses on discovering relations, logic, and knowledge for policy management. To manage performance, the text discusses contention management for transactional structures, buffer tuning, and test environments. It then illustrates search optimization using truncated functions with paralleled techniques. The final chapters present structures, recovery, message conflicts, and test coverage of quantum policies and explain methods of quantum protection for intrusion prevention. An overview of security and policy applications for systems and computing, this book explores the latest R&D, emerging technology, and state-of-the-art technical studies of security and policy issues. It also looks to future research and technologies that will propel the innovation of next-generation systems.

Reflecting cutting-edge advancements, Security of Self-Organizing Networks: MANET, WSN, WMN, VANET explores wireless network security from all angles. It begins with a review of fundamental security topics and often-used terms to set the foundation for the following chapters. Examining critical security issues in a range of wireless networks, the book proposes specific solutions to security threats. Ideal for those with a basic understanding of network security, the text provides a clear examination of the key aspects of security in self-organizing networks and other networks that use wireless technology for communications. The book is organized into four sections for ease of reference: 1. General Topics -- Security of Wireless and Self-Organizing Networks 2. Mobile Ad-Hoc Network and Vehicular Ad-Hoc Network Security 3. Wireless Sensor Network Security 4. Wireless Mesh Network Security Highlighting potential threats to network security, most chapters are written in a tutorial manner. However, some of the chapters include mathematical equations and detailed analysis for advanced readers. Guiding you through the latest trends, issues, and advances in network security, the text includes questions and sample answers in each chapter to reinforce understanding.

Starting with the inception of an education program and progressing through its development, implementation, delivery, and evaluation, Managing an Information Security and Privacy Awareness and Training Program, Second Edition provides authoritative coverage of nearly everything needed to create an effective training program that is compliant with applicable laws, regulations, and policies. Written by Rebecca Herold, a well-respected information security and privacy expert named one of the "Best Privacy Advisers in the World" multiple times by Computerworld magazine as well as a "Top 13 Influencer in IT Security" by IT Security Magazine, the text supplies a proven framework for creating an awareness and training program. It also:

• Lists the laws and associated excerpts of the specific passages that require training and awareness
• Contains a plethora of forms, examples, and samples in the book's 22 appendices
• Highlights common mistakes that many organizations make
• Directs readers to additional resources for more specialized information
• Includes 250 awareness activities ideas and 42 helpful tips for trainers

Complete with case studies and examples from a range of businesses and industries, this all-in-one resource provides the holistic and practical understanding needed to identify and implement the training and awareness methods best suited to, and most effective for, your organization.

Praise for:

The first edition was outstanding. The new second edition is even better ... the definitive and indispensable guide for information security and privacy awareness and training professionals, worth every cent. As with the first edition, we recommend it unreservedly..
-NoticeBored.com

Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques presents state-of-the-art information sharing and data integration methods that take into account privacy and data mining requirements.

The first part of the book discusses the fundamentals of the field. In the second part, the authors present anonymization methods for preserving information utility for specific data mining tasks. The third part examines the privacy issues, privacy models, and anonymization methods for realistic and challenging data publishing scenarios. While the first three parts focus on anonymizing relational data, the last part studies the privacy threats, privacy models, and anonymization methods for complex data, including transaction, trajectory, social network, and textual data.

This book not only explores privacy and information utility issues but also efficiency and scalability challenges. In many chapters, the authors highlight efficient and scalable methods and provide an analytical discussion to compare the strengths and weaknesses of different solutions.

Microsoft Windows Server 2008 R2: The Administrators Essential Reference introduces the Windows Server 2008 R2, which is Microsofts flagship server operating systems latest release. The book explores its features; describes differences between the available editions; and discusses its deployment. After introducing Windows Server 2008 R2, the book explains its installation and configuration processes followed by its networking. It also examines different features, such as the active directory, internet information services 7.5, Hyper-V, and PowerShell V2. It discusses securing Windows Server 2008 R2 files and its print services, remote desktop services, high-availability and recovery features, and monitoring and troubleshooting; in addition, their delta changes are discussed in the final chapter. The book also explores the features that influence both Windows Server 2008 R2 and Windows 7. These features allow the server operating system to work with Windows 7. One feature is the BranchCache, which offers users who open files across a Wide Area Network a better end-user experience by caching copy in the branch office when a document or intranet Web site is opened for the first time. Another feature is DirectAccess, which is the new remote connectivity solution for Windows networks.

Developed from the authors' courses at Syracuse University and the U.S. Air Force Research Laboratory, Access Control, Security, and Trust: A Logical Approach equips readers with an access control logic they can use to specify and verify their security designs. Throughout the text, the authors use a single access control logic based on a simple propositional modal logic.

The first part of the book presents the syntax and semantics of access control logic, basic access control concepts, and an introduction to confidentiality and integrity policies. The second section covers access control in networks, delegation, protocols, and the use of cryptography. In the third section, the authors focus on hardware and virtual machines. The final part discusses confidentiality, integrity, and role-based access control.

Taking a logical, rigorous approach to access control, this book shows how logic is a useful tool for analyzing security designs and spelling out the conditions upon which access control decisions depend. It is designed for computer engineers and computer scientists who are responsible for designing, implementing, and verifying secure computer and information systems.

This book describes the state-of-the-art in trusted computing for embedded systems. It shows how a variety of security and trusted computing problems are addressed currently and what solutions are expected to emerge in the coming years. The discussion focuses on attacks aimed at hardware and software for embedded systems, and the authors describe specific solutions to create security features. Case studies are used to present new techniques designed as industrial security solutions. Coverage includes development of tamper resistant hardware and firmware mechanisms for lightweight embedded devices, as well as those serving as security anchors for embedded platforms required by applications such as smart power grids, smart networked and home appliances, environmental and infrastructure sensor networks, etc. * Enables readers to address a variety of security threats to embedded hardware and software; * Describes design of secure wireless sensor networks, to address secure authentication of trusted portable devices for embedded systems; * Presents secure solutions for the design of smart-grid applications and their deployment in large-scale networked and systems.