SAHER: Secure and Efficient Routing in Sensor Networks

TL;DR

SAHER is a secure, efficient routing protocol for sensor networks that combines clustering, geographic routing, reputation, and authentication to defend against common attacks while considering node join/leave dynamics.

Contribution

The paper introduces SAHER, a novel routing protocol tailored for sensor networks that balances security, efficiency, and simplicity with a comprehensive security mechanism.

Findings

Effective defense against packet dropping and flooding attacks.

Robust performance across various node distributions and malicious behaviors.

Enhanced security considering join/leave operations in sensor networks.

Abstract

As an increasing amount of research is being done on various applications of sensor networks in adversarial environments, ensuring secure routing becomes of critical importance for the success of such deployments. The problem of designing a secure routing protocol for ad hoc networks has been already addressed, yet, there exists no complete solution that meets the specific requirements of sensor networks, where nodes are extremely constrained in terms of both power and computational resources. Thus, we propose a new protocol that is not built solely around security but also has efficiency and simplicity among its main goals. We propose the Secure Ad Hoc Efficient Routing protocol (SAHER) which employs a two-tier architecture based on node clustering. Also, we combine mechanisms like localscale geographic routing, per-node reputation tables, credit based alternate route enforcement and cumulative authentication. Using these techniques we examine ways to efficiently defend against the two most common network layer attacks: selective packet dropping and message flooding. Further, we consider join/leave operations which have not yet been studied in sufficient depth for sensor networks from a security standpoint. We provide a description of the protocol along with comprehensive experimental evaluation under different node distributions, different proportions of non-malicious vs. malicious nodes and different types of activity that malicious nodes could exhibit.