Digital microarray analysis for digital artifact genomics

Holger Jaenisch; James Handley; Deborah Williams

doi:10.1117/12.2030990

6 June 2013 Digital microarray analysis for digital artifact genomics

Holger Jaenisch, James Handley, Deborah Williams

Proceedings Volume 8757, Cyber Sensing 2013; 87570N (2013) https://doi.org/10.1117/12.2030990
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

We implement a Spatial Voting (SV) based analogy of microarray analysis for digital gene marker identification in malware code sections. We examine a famous set of malware formally analyzed by Mandiant and code named Advanced Persistent Threat (APT1). APT1 is a Chinese organization formed with specific intent to infiltrate and exploit US resources. Manidant provided a detailed behavior and sting analysis report for the 288 malware samples available. We performed an independent analysis using a new alternative to the traditional dynamic analysis and static analysis we call Spatial Analysis (SA). We perform unsupervised SA on the APT1 originating malware code sections and report our findings. We also show the results of SA performed on some members of the families associated by Manidant. We conclude that SV based SA is a practical fast alternative to dynamics analysis and static analysis.

Citation Download Citation

Holger Jaenisch, James Handley, and Deborah Williams "Digital microarray analysis for digital artifact genomics", Proc. SPIE 8757, Cyber Sensing 2013, 87570N (6 June 2013); https://doi.org/10.1117/12.2030990

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