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The research aims to develop a comprehensive security architecture to combat DNA-encoded malware threats.

May 26, 20260 citationsOpen Access

Cyberbiosecurity: A Conceptual Defense Framework for DNA Malware

Key Points

The research aims to develop a comprehensive security architecture to combat DNA-encoded malware threats.
Introduces the Bio-Digital Security Framework (BDSF) consisting of 6 layers.
Identifies security gaps in sequencing hardware and firmware.
Proposes detection mechanisms like Firmware-Level Nucleotide Anomaly Detection and Cryptographic DNA Provenance Chains.
Presents a formal threat model outlining vulnerabilities in DNA computing.
Describes mathematical foundations for the proposed detection mechanisms.
Highlights the need for novel approaches to secure bio-digital interfaces.

Abstract

This research paper presents the Bio-Digital Security Framework (BDSF), a comprehensive 6-layer defense-in-depth architecture designed to mitigate the emerging threat of DNA-encoded malware. As the boundaries between synthetic biology and digital computing blur, traditional cybersecurity models fail to address biological-to-digital attack vectors. This work identifies critical gaps in sequencing hardware and firmware security, proposing novel detection mechanisms such as Firmware-Level Nucleotide Anomaly Detection (FNAD) and Cryptographic DNA Provenance Chains (CDPC). The paper provides a formal threat model, mathematical detection framework, and a deep dive into the future of cyberbiosecurity.

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