Network Forensics - Jonathan Ham
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Présentation Network Forensics de Jonathan Ham Format Broché
- Livre Informatique
Résumé :
Learn to recognize hackers' tracks and uncover network-based evidence in Network Forensics: Tracking Hackers through Cyberspace. Carve suspicious email attachments from packet captures. Use flow records to track an intruder as he pivots through the network. Analyze a real-world wireless encryption-cracking attack (and then crack the key yourself). Reconstruct a suspect's web surfing history-and cached web pages, too-from a web proxy. Uncover DNS-tunneled traffic. Dissect the Operation Aurora exploit, caught on the wire.
Biographie: Sherri Davidoff is a founder of LMG Security, an information security consulting and research firm. Her specialties include network penetration testing, digital forensics, social engineering testing, and web application assessments. She holds her S.B. in Computer Science and Electrical Engineering from MIT. Jonathan Ham has been commissioned to teach NCIS investigators how to use Snort, performed packet analysis from a facility more than two thousand feet underground, taught intrusion analysis to the NSA, and chartered and trained the CIRT for one of the largest U.S. civilian federal agencies. He is a founder of LMG Security. His favorite field is ip[6:2].
Sommaire: Foreword xvii Preface xix Acknowledgments xxv About the Authors xxvii Part I: Foundation 1 Chapter 1: Practical Investigative Strategies 3 1.1 Real-World Cases 3 1.2 Footprints 8 1.3 Concepts in Digital Evidence 9 1.4 Challenges Relating to Network Evidence 16 1.5 Network Forensics Investigative Methodology (OSCAR) 17 1.6 Conclusion 22 Chapter 2: Technical Fundamentals 23 2.1 Sources of Network-Based Evidence 23 2.2 Principles of Internetworking 30 2.3 Internet Protocol Suite 35 2.4 Conclusion 44 Chapter 3: Evidence Acquisition 45 3.1 Physical Interception 46 3.2 Traffic Acquisition Software 54 3.3 Active Acquisition 65 3.4 Conclusion 72 Part II: Traffic Analysis 73 Chapter 4: Packet Analysis 75 4.1 Protocol Analysis 76 4.2 Packet Analysis 95 4.3 Flow Analysis 103 4.4 Higher-Layer Traffic Analysis 120 4.5 Conclusion 133 4.6 Case Study: Ann&rsquo...
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