Cliff Wang – författare

Shared resources, such as the Internet, have created a highly interconnected cyber-infrastructure. Critical infrastructures in domains such as medical, power, telecommunications, and finance are highly dependent on information systems. These two factors have exposed our critical infrastructures to malicious attacks and accidental failures. Many malicious attacks are achieved by malicious code or malware, such as viruses and worms. Given the deleterious affects of malware on our cyber infrastructure, identifying malicious programs is an important goal. Unfortunately, malware detectors have not kept pace with the evasion techniques commonly used by hackers, i.e., the good guys are falling behind in the arms race.

Malware Detection captures the state of the art research in the area of malicious code detection, prevention and mitigation.

Localization is a critical process in mobile ad hoc networks and wireless sensor networks. Wireless sensor node or MANET devices need to know the network''s location or its relative location, with respect to the rest of the network neighbors. However, due to the open spectrum nature of wireless communication, it is subject to attacks and intrusions. Hence the wireless network synchronization needs to be both robust and secure. Furthermore, issues such as energy constraints and mobility make the localization process even more challenging.

Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks presents the latest research results in the area of secure localization for both wireless mobile ad hoc networks and wireless sensor networks.

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, a contributed volume by world-class leaders in this field, is based on the June 2006 ARO workshop on Botnets. This edited volume represents the state-of-the-art in research on Botnets. It provides botnet detection techniques and response strategies, as well as the latest results from leading academic, industry and government researchers.

Botnet Detection: Countering the Largest Security Threat is intended for researchers and practitioners in industry. This book is also appropriate as a secondary text or reference book for advanced-level students in computer science.

Moving Target Defense: Creating Asymmetric Uncertainty for Cyber Threats was developed by a group of leading researchers. It describes the fundamental challenges facing the research community and identifies new promising solution paths. Moving Target Defense which is motivated by the asymmetric costs borne by cyber defenders takes an advantage afforded to attackers and reverses it to advantage defenders. Moving Target Defense is enabled by technical trends in recent years, including virtualization and workload migration on commodity systems, widespread and redundant network connectivity, instruction set and address space layout randomization, just-in-time compilers, among other techniques. However, many challenging research problems remain to be solved, such as the security of virtualization infrastructures, secure and resilient techniques to move systems within a virtualized environment, automatic diversification techniques, automated ways to dynamically change and manage the configurations of systems and networks, quantification of security improvement, potential degradation and more.

Moving Target Defense: Creating Asymmetric Uncertainty for Cyber Threats is designed for advanced -level students and researchers focused on computer science, and as a secondary text book or reference. Professionals working in this field will also find this book valuable.

Our cyber defenses are static and are governed by lengthy processes, e.g., for testing and security patch deployment.  Adversaries could plan their attacks carefully over time and launch attacks at cyber speeds at any given moment.  We need a new class of defensive strategies that would force adversaries to continually engage in reconnaissance and re-planning of their cyber operations.  One such strategy is to present adversaries with a moving target where the attack surface of a system keeps changing.

Moving Target Defense II: Application of Game Theory and Adversarial Modeling includes contributions from world experts in the cyber security field.  In the first volume of MTD, we presented MTD approaches based on software transformations, and MTD approaches based on network and software stack configurations. In this second volume of MTD, a group of leading researchers describe game theoretic, cyber maneuver, and software transformation approaches for constructing and analyzing MTD systems.

Designed as a professional book for practitioners and researchers working in the cyber security field, advanced -level students and researchers focused on computer science will also find this book valuable as a secondary text book or reference.