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DEF CON 26 WIRELESS VILLAGE - FAZ - Exploring the 802 15 4 Attack Surface
DEF CON 26 AI VILLAGE - Andrew Morris - Identifying and Correlating Anomalies in Internetwide Scan
DEF CON 26 WIRELESS VILLAGE - Handorf and Spill - Its not wifi stories in wireless RE
DEF CON 26 AI VILLAGE - bodaceacat and Panel - Responsible Offensive Machine Learning
DEFCON 26 Wireless Village Wireless Capture the Flag Prep
DEF CON 26 CAAD VILLAGE - Guo, and Cuevas - Recent Progress in Adversarial Deep Learning
DEF CON 26 WIRELESS VILLAGE - stev0 - BSSI finding foxes with acoustic help piClicker
DEF CON 26 AI VILLAGE - Raphael Norwitz - StuxNNet Practical Live Memory Attacks on Machine Learning
DEF CON 26 AI VILLAGE - Fedor Sakharov - Detecting Web Attacks with Recurrent Neural Networks
DEF CON 26 AI VILLAGE - Andy Applebaum - Automated Planning for the Automated Red Team
DEF CON 26 PACKET HACKING VILLAGE - Caleb Madrigal - Mapping Wi Fi Networks and Triggering
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Last Updated: October 3, 2026
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Summary
BlueTooth is everywhere, it is in all of our pockets and the only protection most use is not being in discoverable mode. This will be ... Whilst 802.15.4 technologies such as Zigbee have been around for some time, our understanding of threats and risks associated ... Present, and (hopefully) Demo using a raspberry pi to detect all software systems, the execution of Classic Web Application Firewalls (WAFs) mostly use rule-based approach for attack detection. This approach is known to have its ... Offensive assessments – i.e., penetration testing, adversary emulation, red teaming – have become a key component of ...
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