A theological discourse on apocalyptic eschatology and its impact on society A proposed technical definition for backdoors Published in the International Journal of Digital Forensics and Incident Response. Publication<\/a><\/p>\n My talk on hacking and securing iOS application at Black Hat 2012. My presentation from MFW 10 about the merging of the hacker and forensic community subcultures. “Detecting Statistical Anomalies in Lexical Reasoning Machines” Could terrorists use Data Centers to target critical American infrastructure? Here, we examine the vulnerablities in today’s data center facilities that would allow a large-scale, distributed terrorist attack on American soil. This paper establishes some requirements for phishing identification and explains various approaches to detection by looking for copying of web site layout and structure through source code (and optionally image) fingerprinting. This enables us to perform a number of exact-match comparisons to genuine websites or to other known attacks. Lastly, we also explore techniques to correlate different attacks to a single likely source. Language classification typically employs a parser using a static set of parsing rules. This presents a problem for learning machines needing to parse different languages, many with different structural rules. Hand-written rules can also provide less-than-optimal parsing even for languages they were designed for, as subcomponents of words can sometimes be more useful. This paper introduces a technique to adaptievely reprogram a language parser to generate the most useful possible data, without any prior knowledge of a language or lexicon. The PowerPoint slides for a Gartner presentation I gave about design flaws in the iPhone’s security architecture, and how to code around most of them. <\/p>\n","protected":false},"excerpt":{"rendered":" Christianity’s End-Times Conspiracy Theories A theological discourse on apocalyptic eschatology and its impact on society Article Backdoors: A Technical Definition A proposed technical definition for backdoors Article Identifying Back Doors, Attack Points, and Surveillance Mechanisms in iOS Devices Published in the International Journal of Digital Forensics and Incident Response. Publication The Dark Art of iOS
\nArticle<\/a><\/p>\nBackdoors: A Technical Definition<\/big><\/h3>\n
\nArticle<\/a><\/p>\nIdentifying Back Doors, Attack Points, and Surveillance Mechanisms in iOS Devices<\/big><\/h3>\n
The Dark Art of iOS Application Hacking<\/big><\/h3>\n
\nPDF<\/a><\/p>\nPirates vs. Ninjas: Mobile Forensics World 2010<\/big><\/h3>\n
\nPPTX<\/a><\/p>\nBayesian Noise Reduction: Progressive Noise Logic for Statistical Language Analysis<\/big><\/h3>\n
\nAn algorithm to eliminate “noise” from a text sample in the setting of statistical filtering.
\nPDF<\/a><\/p>\nData Center Threats and Vulnerabilities<\/big><\/h3>\n
\nPDF<\/a><\/p>\nApproaches to Phishing Identification Using Match and Probabilistic Digital Fingerprinting Technique<\/big><\/h3>\n
\nPDF<\/a><\/p>\nReasoning-Based Adaptive Language Parsing<\/big><\/h3>\n
\nPDF<\/a><\/p>\niPhone: Stealing Personal Information and Corporate Secrets<\/big><\/h3>\n
\nZIP<\/a><\/p>\n