Kapadia-OpportunisticSensing

Kapadia-OpportunisticSensing - Opportunistic Sensing...

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Unformatted text preview: Opportunistic Sensing: Security Challenges for the New Paradigm * (Invited Paper) Apu Kapadia † MIT Lincoln Laboratory Lexington, MA USA David Kotz Institute for Security, Technology, and Society Dartmouth College Hanover, NH USA Nikos Triandopoulos ‡ Boston University Boston, MA USA Abstract —We study the security challenges that arise in opportunistic people-centric sensing , a new sensing paradigm leveraging humans as part of the sensing infrastructure. Most prior sensor-network research has focused on collecting and processing environmental data using a static topology and an application-aware infrastructure, whereas opportunistic sensing involves collecting, storing, processing and fusing large volumes of data related to everyday human activities. This highly dynamic and mobile setting, where humans are the central focus, presents new challenges for information security, because data originates from sensors carried by people— not tiny sensors thrown in the forest or attached to animals. In this paper we aim to instigate discussion of this critical issue, because opportunistic people- centric sensing will never succeed without adequate provisions for security and privacy. To that end, we outline several important challenges and suggest general solutions that hold promise in this new sensing paradigm. I. INTRODUCTION Sensor networks provide tremendous potential for infor- mation collection and processing in a variety of application domains. The first generation of sensor-network scenarios included stationary devices sensing ephemeral features of the environment around them. In this paper we focus on a new kind of sensing, aimed at applications in daily life, employing the mobile devices people already carry. Opportunistic people- centric sensing has been introduced as a term to describe this new paradigm: small computational devices, carried by indi- viduals in their daily activities, sensing information directly or indirectly related to human activity, as well as aspects of the environment around them [1]. This new brand of sensing induces a different set of assump- tions and trade-offs than in much of the prior work on sensor networks, requiring new thought about the communications in- frastructure. Likewise, these new capabilities and architectures pose different challenges and therefore require new solutions for information security. First, applications will probably deal with highly personal information, requiring a deeper attention to privacy and anonymity than in most prior work. Second, * Authors are listed alphabetically. Many thanks to Peter C. Johnson (Dart- mouth College) for his contributions to earlier versions of this paper. † This research was performed while the author was at Dartmouth College....
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This note was uploaded on 08/25/2011 for the course EEL 6788 taught by Professor Boloni,l during the Spring '08 term at University of Central Florida.

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Kapadia-OpportunisticSensing - Opportunistic Sensing...

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