Mahira Atham Lebbe (Mahira M.Mowjoon)
BSc (Hons), MSc Engineering
Doctoral Candidate, CRIN,Faculty of Engineering
E-mail: mathamle@eng.uts.edu.au
Mahira Atham Lebbe holds a M.Sc.Eng. Degree in Information and Communication Engineeringand a Bachelor of Science (Honours) Degree in Computer Science from the university of Peradeniya, Sri Lanka. She has been a Lecturer at the university of Peradeniya, Sri Lanka from year 2001 and at present she is pursuing her PhD Degree in the Faculty of Engineering, University of Technology, Sydney.
Secure Routing in Wireless Mesh Networks:
The main Objective of the research is to implement an efficient secure routing in Wireless Mesh Network using Artificial Immune System.
Wireless Mesh Networks (WMNs) play an important role in the evolution to future generation wireless mobile networks and promise to deliver wireless services for a large array of applications such as real time transportation systems, rural networks, disaster networking, building automation, health and medical systems, and security surveillance systems. These Networks are a recent architecture for multihop wireless networks and standards for realizing mesh networks are being developed, especially in the IEEE working groups. Dynamic and self organising nature of WMNs brings many rewards to WMNs such as low up-front cost, easy network maintenance, robustness, and reliable service coverage. Conversely WMNs have various open issues such as security, scalability, interoperability and compatibility affecting the performance of WMNs which need burning attention and further research. The key challenging factor in deploying WMNs is secure routing.
From the literature, key management is a vital cryptographic primitive upon which other security primitives are built. However, none of the existing key management schemes are pertinent for WMNs. On the other hand, Natural Immune System (NIS) having features such as distributability, diversity, disposability, adaptability, autonomy, dynamic coverage, anomaly detection and identity via behavior, motivates security and the Artificial Immune System (AIS) models such as Negative selection model, Clonal selection model, Immune network model and Danger Theory models support the implementation in real world applications. We propose the Danger Model to secure routing in WMNs.