Tim Pappa (Walmart)

Cyber threat actors generally create branding content to promote their reputation. While threat actor branding content could include carders masquerading as hacktivists, for example, the reputational branding of cyber threat actors is generally considered to be a singular, symbolic display of their threat and capabilities. This presentation suggests that Security Operations Centers (SOC) and cyber threat intelligence communities could proactively collect unique forensic and observational behavioral threat information on threat actors by manipulating their reputational content, anticipating threat actors will respond or react behaviorally when their reputations are questioned or ridiculed publicly. This presentation is exploratory, recognizing that most accounts of manipulating cyber threat actor reputational content are anecdotal. This presentation proposes an integrated conceptual interpretation of the foundational theoretical frameworks that explain why and how people respond behaviorally to content made for them, applied in a context of influencing threat actors with generative artificial intelligence content.

View More Papers

Stacking up the LLM Risks: Applied Machine Learning Security

Dr. Gary McGraw, Berryville Institute of Machine Learning

Read More

Eavesdropping on Black-box Mobile Devices via Audio Amplifier's EMR

Huiling Chen (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Wenqiang Jin (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Yupeng Hu (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Zhenyu Ning (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Kenli Li (College…

Read More

Towards generic backward-compatible software upgrades for COSPAS-SARSAT EPIRB 406...

Ahsan Saleem (University of Jyväskylä, Finland), Andrei Costin (University of Jyväskylä, Finland), Hannu Turtiainen (University of Jyväskylä, Finland), Timo Hämäläinen (University of Jyväskylä, Finland)

Read More

ShapFuzz: Efficient Fuzzing via Shapley-Guided Byte Selection

Kunpeng Zhang (Shenzhen International Graduate School, Tsinghua University), Xiaogang Zhu (Swinburne University of Technology), Xi Xiao (Shenzhen International Graduate School, Tsinghua University), Minhui Xue (CSIRO's Data61), Chao Zhang (Tsinghua University), Sheng Wen (Swinburne University of Technology)

Read More