NDLI: Maximizing data survival in unattended wireless sensor networks against a focused mobile adversary.

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Maximizing data survival in unattended wireless sensor networks against a focused mobile adversary.

Content Provider	CiteSeerX
Author	Roberto Di Pietro, A. Luigi V. Mancini, B. Claudio Soriente, C. Angelo Spognardi, D. Gene Tsudik, C.
Abstract	Some sensor network settings involve disconnected or unattended operation with periodic visits by a mobile sink. An unattended sensor network operating in a hostile environment can collect data that represents a high-value target for the adversary. Since an unattended sensor can not immediately off-load sensed data to a safe external entity (such as a sink), the adversary can easily mount a focused attack aiming to erase or modify target data. To maximize chances of data survival, sensors must collaboratively attempt to mislead the adversary and hide the location, the origin, and the contents of collected data. In this paper, we focus on applications of well-known security techniques to maximize chances of data survival in unattended sensor networks, where sensed data can not be off-loaded to a sink in real time. Our investigation yields some interesting insights and surprising results. The highlights of our work are: (1) thorough exploration of the data survival challenge, (2) exploration of the design space for possible solutions, (3) construction of several practical and effective techniques, and (4) their evaluation. Key words: Unattended WSN, data survival, security, mobile adversary, probabilistic analysis.
File Format	PDF
Access Restriction	Open
Subject Keyword	Data Survival Unattended Wireless Sensor Network Focused Mobile Adversary Unattended Sensor Network Unattended Sensor Periodic Visit Well-known Security Technique Possible Solution Effective Technique Design Space Focused Attack High-value Target Sensor Network Setting Real Time Interesting Insight Target Data Unattended Operation Hostile Environment Safe External Entity Mobile Adversary Mobile Sink Data Survival Challenge Surprising Result Probabilistic Analysis
Content Type	Text

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