Secure Event-triggered MolecularvCommunication - Information Theoretic Perspective and Optimal Performance

TL;DR

This paper investigates secure molecular communication using an information-theoretic approach, focusing on identification codes over Poisson channels, and derives capacity formulas for both secure and non-secure scenarios.

Contribution

It introduces a novel analysis of identification and secure identification over Poisson channels in molecular communication, deriving capacity formulas and emphasizing energy efficiency and security.

Findings

Identification codes grow doubly exponentially with blocklength.

Secure identification capacity formulas are derived.

Energy-efficient and secure molecular communication strategies are proposed.

Abstract

Molecular Communication (MC) is an emerging field of research focused on understanding how cells in the human body communicate and exploring potential medical applications. In theoretical analysis, the goal is to investigate cellular communication mechanisms and develop nanomachine-assisted therapies to combat diseases. Since cells transmit information by releasing molecules at varying intensities, this process is commonly modeled using Poisson channels. In our study, we consider a discrete-time Poisson channel (DTPC). MC is often event-driven, making traditional Shannon communication an unsuitable performance metric. Instead, we adopt the identification framework introduced by Ahlswede and Dueck. In this approach, the receiver is only concerned with detecting whether a specific message of interest has been transmitted. Unlike Shannon transmission codes, the size of identification (ID) codes for a discrete memoryless channel (DMC) increases doubly exponentially with blocklength when using randomized encoding. This remarkable property makes the ID paradigm significantly more efficient than classical Shannon transmission in terms of energy consumption and hardware requirements. Another critical aspect of MC, influenced by the concept of the Internet of Bio-NanoThings, is security. In-body communication must be protected against potential eavesdroppers. To address this, we first analyze the DTPC for randomized identification (RI) and then extend our study to secure randomized identification (SRI). We derive capacity formulas for both RI and SRI, providing a comprehensive understanding of their performance and security implications.