Reverse Deception: Organized Cyber Threat Counter-exploitation

A complete guide to understanding and fighting advanced persistent threats--today's most destructive risk to enterprise security Reverse Deception: Organized Cyber Threat Counter-Exploitation explains how to identify advanced persistent threats (APTs), categorize them according to risk level, and prioritize your actions accordingly by applying expert, field-tested private- and government-sector methods (NSA, FBI, and DOD). APTs cannot be seen, spread invisibly, and then continue to live in an enterprise network, undetected. In this one-of-a-kind book, the authors explain how to get--and stay--ahead of today's well-organized and extremely persistent brand of network enemies. The book describes the characteristics of malware and botnets, how they can morph, evade detection, and spin off decoys that live in-network, while appearing to have been cleaned up and debugged. This detailed guide then reveals how to detect the appearance of malicious code, decode the types of enemies they originate from, and finally, how to extricate malcode and deflect its future entry into networks. Reverse Deception: Organized Cyber Threat Counter-Exploitation features: Full coverage of the #1 feared type of network attack today, the APT Descriptions of cyber espionage tactics seen in the U.S. and internationally, with comparisons of the types of countermeasures permissible by law in the U.S. and Asia versus less strict countries in Europe, the Middle East, and Africa Enthralling case studies and true stories from the authors' FBI, DOD, NSA, and private sector work Foreword by Fred Feer, a security professional with 40 years' experience with the U.S. Army counterintelligence, CIA, RAND, and independent consulting Complete coverage of key aspects of deception, counter-deception, behavioral profiling, and security within the cyber realm Cat-and-mouse strategies from the best in the game--explains how to implement deception and disinformation techniques against a variety of incoming threats ai