The Department of Computer Science at the University of Cyprus cordially invites you to the PhD Defense entitled:
An Intrusion Recovery Security Framework in Wireless Sensor Networks
Speaker: Mrs. Eliana Stavrou
Affiliation: University of Cyprus, Cyprus
Category: PhD Defense
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Monday, February 17, 2014
Time: 09:00-10:00 EET
Host: Andreas Pitsillides (cspitsil-AT-cs.ucy.ac.cy)
Wireless sensor networks (WSNs) have gained remarkable research attention over the last several years. WSNs are being considered to support the operation of critical infrastructures, such as healthcare, military and disaster relief, on which our modern world is increasingly dependent upon. In these infrastructures, decision-making can be highly depended on sensor observations that are propagated to a control center to support the decisions taken by response units. During the observation of a critical event, it is vital that the WSN maintains its operation and continues propagating observations to the control center. If the sensor network’s operation is compromised, it has to be restored in order to maintain its operability and continue supporting a reliable decision-making. Recovery solutions that are currently proposed in WSNs focus on addressing specific attacks and therefore deploy a static recovery approach that presents a weakness in the case where the adversary has changed his attack strategy, creating new challenges in the area. The present dissertation contributes a new intrusion recovery framework in WSNs to address the challenges and support the development of new intrusion recovery solutions. The framework supports each phase of the development of a new recovery solution, by (a) formulating the problem and specifying intrusion recovery requirements and design guidelines to approach the challenges, (b) designing a new intrusion recovery solution driven by a recovery policy to promote recovery adaptability based on different conditions and (c) specifying a new evaluation method to assess and compare intrusion recovery solutions. The proposed intrusion recovery framework promotes two design directions to address persistent adversaries: (a) recover the compromised WSN operation, focusing on restoring the network’s communication and (b) enhance recovery resilience when compromisation efforts continue. A core feature of the proposed solution, that promotes the design directions, is the utilization of directional antennas to create controlled communication paths and to physically exclude malicious nodes. Results demonstrate that the adoption of the proposed framework, with directional antennas, is beneficiary in an intrusion recovery context in WSNs. The proposed solution has been shown to address static and persistent attack strategies, minimize the attack outcome and recover the network’s availability, survivability, reliability and resilience in case of compromisation, without any significant tradeoff.
Eliana Stavrou is a PhD candidate at the Department of Computer Science of the University of Cyprus under the supervision of Dr. Andreas Pitsillides. She completed her undergraduate studies at the Department of Computer Science of the University of Cyprus in 2003 and her MSc studies at the same department in 2006. Her research interests include wireless ad-hoc and sensor networks, focusing on security aspects, critical infrastructures protection and resilience.
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