Cyberbiosecurity: DNA Injection Attack in Synthetic Biology

11/28/2020
by   Dor Farbiash, et al.
0

Today arbitrary synthetic DNA can be ordered online and delivered within several days. In order to regulate both intentional and unintentional generation of dangerous substances, most synthetic gene providers screen DNA orders. A weakness in the Screening Framework Guidance for Providers of Synthetic Double-Stranded DNA allows screening protocols based on this guidance to be circumvented using a generic obfuscation procedure inspired by early malware obfuscation techniques. Furthermore, accessibility and automation of the synthetic gene engineering workflow, combined with insufficient cybersecurity controls, allow malware to interfere with biological processes within the victim's lab, closing the loop with the possibility of an exploit written into a DNA molecule presented by Ney et al. in USENIX Security'17. Here we present an end-to-end cyberbiological attack, in which unwitting biologists may be tricked into generating dangerous substances within their labs. Consequently, despite common biosecurity assumptions, the attacker does not need to have physical contact with the generated substance. The most challenging part of the attack, decoding of the obfuscated DNA, is executed within living cells while using primitive biological operations commonly employed by biologists during in-vivo gene editing. This attack scenario underlines the need to harden the synthetic DNA supply chain with protections against cyberbiological threats. To address these threats we propose an improved screening protocol that takes into account in-vivo gene editing.

READ FULL TEXT

page 12

page 19

page 20

research
02/23/2022

Using Deep Learning to Detect Digitally Encoded DNA Trigger for Trojan Malware in Bio-Cyber Attacks

This article uses Deep Learning technologies to safeguard DNA sequencing...
research
02/17/2023

Learning models for classifying Raman spectra of genomic DNA from tumor subtypes

An early detection of different tumor subtypes is crucial for an effecti...
research
04/05/2018

Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions

Generative Adversarial Networks (GANs) represent an attractive and novel...
research
07/20/2019

DNA based Network Model and Blockchain

Biological cells can transmit, process and receive chemically encoded da...
research
05/08/2023

Data-Driven Bee Identification for DNA Strands

We study a data-driven approach to the bee identification problem for DN...
research
06/24/2023

MIRACLE: Multi-task Learning based Interpretable Regulation of Autoimmune Diseases through Common Latent Epigenetics

DNA methylation is a crucial regulator of gene transcription and has bee...
research
06/06/2023

Can large language models democratize access to dual-use biotechnology?

Large language models (LLMs) such as those embedded in 'chatbots' are ac...

Please sign up or login with your details

Forgot password? Click here to reset