Published July 2010 | Version v1
Journal article

Energy efficient security in MANETs: a comparison of cryptographic and artificial immune systems

Creators

  • 1. National University of Science and Technology, Islamabad (Pakistan)

Description

MANET is characterized by a set of mobile nodes in an inherently insecure environment, having limited battery capacities. Provisioning of energy efficient security in MANETs is, therefore, an open problem for which a number of solutions have been proposed. In this paper, we present an overview and comparison of the MANET security at routing layer by using the cryptographic and Artificial Immune System (AIS) approaches. The BeeAdHoc protocol, which is a Bio-inspired MANET routing protocol based on the foraging principles of honey bee colony, is taken as case study. We carry out an analysis of the three security frameworks that we have proposed earlier for securing BeeAdHoc protocol; one based on asymmetric key encryption, i.e BeeSec, and the other two using the AIS approach, i.e BeeAIS based on self non-self discrimination from adaptive immune system and BeeAIS-DC based on Dendritic Cell (DC) behavior from innate immune system. We extensively evaluate the performance of the three protocols through network simulations in ns-2 and compare with BeeAdHoc, the base protocol, as well as with state-of-the-art MANET routing protocols DSR and AODV. Our results clearly indicate that AIS based systems provide security at much lower cost to energy as compared with the cryptographic systems. Moreover, the use of dendritic cells and danger signals instead of the classical self non-self discrimination allows to detect the non-self antigens with greater accuracy. Based on the results of this investigation, we also propose a composite AIS model for BeeAdHoc security by combining the concepts from both the adaptive and the innate immune systems by modelling the attributes and behavior of the B-cells and DCs. (author)

Additional details

Publishing Information

Journal Title
Pakistan Journal of Engineering and Applied Sciences
Journal Volume
7
Journal Issue
1
Journal Page Range
p. 69-90
ISSN
1995-1302

INIS

Country of Publication
Pakistan
Country of Input or Organization
Pakistan
INIS RN
42055345
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ARTIFICIAL INTELLIGENCE; CRYPTOGRAPHY; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENTRY CONTROL SYSTEMS; EXPERT SYSTEMS; RELIABILITY
Descriptors DEC
CONTROL SYSTEMS; EFFICIENCY