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Using bio-inspired algorithms to provide privacy on wireless sensor networks

Abstract:

Wireless Sensor Networks (WSNs), often referred to as ubiquitous computing, are the basis for “Internet of Things and Services” (IoTaS) applications. WSNs are usually employed in a non-intrusive way and have the potential of providing real-time information in key areas of concern e.g., e-Health. Unfortunately, due to their distributed and ubiquitous nature, WSNs are vulnerable to several security and privacy attacks. Privacy issues represent an interesting challenge, in particular with potentially unauthorized access to personal information e.g., user’s geo-location. This chapter explores the use of Computational Intelligence (CI) paradigms in WSNs and proposes a bioinspired routing algorithm that provides location privacy, while optimizing overall network performance. Empirical results and a set of recommendations for using CI algorithms in WSNs are also given. These recommendations emphasize the trade-offs between privacy and performance, when bio-inspired approaches are adopted.