An Artificial Immune System-Based Strategy to Enhance Reputation in MANETs

In Mobile Ad hoc Networks (MANETs) the nodes act as a host as well as a router, thereby forming a self-organizing network that does not rely upon fixed infrastructure, other than gateways to other networks. Security is important for MANETs and trust computation is used to improve collaboration between nodes. This paper proposes an Artificial Immune System-based reputation (AISREP) algorithm to compute trust and thereby provide a resilient reputation mechanism.

Utilisation of DANGER and PAMP signals to detect a MANET Packet Storage Time Attack

This paper discusses a Packet Storage Time (PST) routing attack  in relation to a Mobile Ad Hoc Network (MANET) where an attacking node modifies its storage time and thereby does not forward packets to the intended recipient nodes. The paper presents an approach using Artificial Immune System based Danger signal (DS) and Pathogen Associated Molecular Pattern (PAMP) signal to identify a PST routing attack.