Secure Internet-of-Nano Things for Targeted Drug Delivery: Distance-based Molecular Cipher Keys

Guo, Weisi; Wei, Zhuangkun; Li, Bin

Abstract

Nano-machines have the potential to achieve targeted drug delivery, improving efficacy and reducing side-effects and wastage. Coordinating multiple nano-machines require communication capability, and molecular communications (MC) is recognised as a key technology under the Internet-of-Nano Things (IoNT) ecosystem. Whilst secure communication is critical, it is limited by the low computational capability of nano-machines. Here, we leverage on the rapid advances in radio physical layer security (PLS) to propose cipher keys generated from dynamic molecular channel statistics for encryption. Like PLS, codewords do not need to be exchanged and a public codeword library is not required, decreasing the computational and architectural burden for ad-hoc nano-machine coordination. Our results show that we can achieve eavesdropper key disagreement rate (KDR) of 5-7 × higher than our intended transmission channel, demonstrating that any potential malicious eavesdropper cannot decipher the message and hence cannot go on to perform malicious actions.

Citation

Guo, W., Wei, Z., & Li, B. (2020, October). Secure Internet-of-Nano Things for Targeted Drug Delivery: Distance-based Molecular Cipher Keys. Presented at 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME), Amman, Jordan

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME)
• Start Date: Oct 27, 2020
• End Date: Oct 29, 2020
• Online Publication Date: Nov 25, 2020
• Publication Date: Oct 27, 2020
• Deposit Date: Feb 12, 2025
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 1-6
• Book Title: 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME)
• ISBN: 9781728123592
• DOI: https://doi.org/10.1109/mecbme47393.2020.9265150
• Public URL: https://durham-repository.worktribe.com/output/3479481