Botnets have become the platform of choice for launching attacks and committing fraud on the Internet. A better understanding of Botnets will help to coordinate and develop new technologies to counter this serious security threat. Botnet Detection: Countering the Largest Security Threat consists of chapters contributed by world-class leaders in this field, from the June 2006 ARO workshop on Botnets. This edited volume represents the state-of-the-art in research on Botnets.

Cybercrime and Espionage provides a comprehensive analysis of the sophisticated patterns and subversive multi-vector threats (SMTs) associated with modern cybercrime, cyber terrorism, cyber warfare and cyber espionage. Whether the goal is to acquire and subsequently sell intellectual property from one organization to a competitor or the international black markets, to compromise financial data and systems, or undermine the security posture of a nation state by another nation state or sub-national entity, SMTs are real and growing at an alarming pace. This book contains a wealth of knowledge related to the realities seen in the execution of advanced attacks, their success from the perspective of exploitation and their presence within all industry. It will educate readers on the realities of advanced, next generation threats, which take form in a variety ways. This book consists of 12 chapters covering a variety of topics such as the maturity of communications systems and the emergence of advanced web technology; how regulatory compliance has worsened the state of information security; the convergence of physical and logical security; asymmetric forms of gathering information; seven commonalities of SMTs; examples of compromise and presence of SMTs; next generation techniques and tools for avoidance and obfuscation; and next generation techniques and tools for detection, identification and analysis. This book will appeal to information and physical security professionals as well as those in the intelligence community and federal and municipal law enforcement, auditors, forensic analysts, and CIO/CSO/CISO. - Includes detailed analysis and examples of the threats in addition to related anecdotal information - Authors' combined backgrounds of security, military, and intelligence, give you distinct and timely insights - Presents never-before-published information: identification and analysis of cybercrime and the psychological profiles that accompany them

Honeypots have demonstrated immense value in Internet security, but physical honeypot deployment can be prohibitively complex, time-consuming, and expensive. Now, there’s a breakthrough solution. Virtual honeypots share many attributes of traditional honeypots, but you can run thousands of them on a single system-making them easier and cheaper to build, deploy, and maintain. In this hands-on, highly accessible book, two leading honeypot pioneers systematically introduce virtual honeypot technology. One step at a time, you’ll learn exactly how to implement, configure, use, and maintain virtual honeypots in your own environment, even if you’ve never deployed a honeypot before. You’ll learn through examples, including Honeyd, the acclaimed virtual honeypot created by coauthor Niels Provos. The authors also present multiple real-world applications for virtual honeypots, including network decoy, worm detection, spam prevention, and network simulation. After reading this book, you will be able to Compare high-interaction honeypots that provide real systems and services and the low-interaction honeypots that emulate them Install and configure Honeyd to simulate multiple operating systems, services, and network environments Use virtual honeypots to capture worms, bots, and other malware Create high-performance "hybrid" honeypots that draw on technologies from both low- and high-interaction honeypots Implement client honeypots that actively seek out dangerous Internet locations Understand how attackers identify and circumvent honeypots Analyze the botnets your honeypot identifies, and the malware it captures Preview the future evolution of both virtual and physical honeypots

Our world is increasingly driven by sophisticated networks of advanced computing technology, and the basic operation of everyday society is becoming increasingly vulnerable to these networks’ shortcomings. The implementation and upkeep of a strong network defense is a substantial challenge, beset not only by economic disincentives but also by an inherent logistical bias that grants advantage to attackers. Research Anthology on Combating Denial-of-Service Attacks examines the latest research on the development of intrusion detection systems and best practices for preventing and combatting cyber-attacks intended to disrupt business and user experience. Highlighting a range of topics such as network administration, application-layer protocols, and malware detection, this publication is an ideal reference source for cybersecurity professionals, IT specialists, policymakers, forensic analysts, technology developers, security administrators, academicians, researchers, and students.

This book provides solid, state-of-the-art contributions from both scientists and practitioners working on botnet detection and analysis, including botnet economics. It presents original theoretical and empirical chapters dealing with both offensive and defensive aspects in this field. Chapters address fundamental theory, current trends and techniques for evading detection, as well as practical experiences concerning detection and defensive strategies for the botnet ecosystem, and include surveys, simulations, practical results, and case studies.

Cyber Attacks, Student Edition, offers a technical, architectural, and management approach to solving the problems of protecting national infrastructure. This approach includes controversial themes such as the deliberate use of deception to trap intruders. This volume thus serves as an attractive framework for a new national strategy for cyber security. A specific set of criteria requirements allows any organization, such as a government agency, to integrate the principles into their local environment. In this edition, each principle is presented as a separate security strategy and illustrated with compelling examples. The book adds 50-75 pages of new material aimed specifically at enhancing the student experience and making it more attractive for instructors teaching courses such as cyber security, information security, digital security, national security, intelligence studies, technology and infrastructure protection. It now also features case studies illustrating actual implementation scenarios of the principles and requirements discussed in the text, along with a host of new pedagogical elements, including chapter outlines, chapter summaries, learning checklists, and a 2-color interior. Furthermore, a new and complete ancillary package includes test bank, lesson plans, PowerPoint slides, case study questions, and more. This text is intended for security practitioners and military personnel as well as for students wishing to become security engineers, network operators, software designers, technology managers, application developers, etc. - Provides case studies focusing on cyber security challenges and solutions to display how theory, research, and methods, apply to real-life challenges - Utilizes, end-of-chapter case problems that take chapter content and relate it to real security situations and issues - Includes instructor slides for each chapter as well as an instructor's manual with sample syllabi and test bank

ARTIFICIAL INTELLIGENCE AND DATA MINING IN SECURITY FRAMEWORKS Written and edited by a team of experts in the field, this outstanding new volume offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to artificial intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalized security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and data mining and several other computing technologies to deploy such a system in an effective manner. This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day Contains numerous examples, offering critical solutions to engineers and scientists Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole