Detecting Digitally Encoded DNA Triggers for Bio-Cyber Attacks

(Presented by Yashna K)

Abstract

This talk presents a deep learning-based system for detecting cyber attack triggers embedded in synthetic DNA. These encoded sequences can activate malware when sequenced, posing a unique threat at the intersection of biology and cybersecurity.

Reference

• Islam, M.S., Ivanov, S., Awan, H. et al. Using deep learning to detect digitally encoded DNA trigger for Trojan malware in Bio-Cyber attacks. Sci Rep 12, 9631 (2022). https://doi.org/10.1038/s41598-022-13700-5: https://www.nature.com/articles/s41598-022-13700-5