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Trust and Reputation Based mechanisms for CIP

Trust and Reputation Based mechanisms for CIP. Uniparthenope, UniRC, Polito. (Fai della Paganella, 10-12 Febbraio 2014). Objectives. To enhance the cyber security of Wireless Sensor Networks ( WSNs ) deployed to protect CIs by exploiting Trust and Reputation Model based techniques

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Trust and Reputation Based mechanisms for CIP

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  1. Trust and Reputation Based mechanisms for CIP Uniparthenope, UniRC, Polito (Fai della Paganella, 10-12 Febbraio 2014)

  2. Objectives • To enhance the cyber security of Wireless Sensor Networks (WSNs) deployed to protectCIs by exploiting Trust and Reputation Model basedtechniques • IntrusionToleranceat the routinglevel

  3. Security of WSNs • WSNs have low computational resources and energy supply • Limit the number of exchangedmessages • Limit the usage of cryptographicmechanisms • WSNs are deployed in unattended, hostile, environments

  4. Trust and Reputation A trust and reputation model is proposed to improve cyber defense. Say Node 3 wants to estimate trust and reputation perceived about Node 2: • Node 3 estimates a trust score of Node 2 through a direct measure related to Node 2 • Node 3 estimates a reputation score of Node 2 through indirect measurements, e.g. by observing the trust level perceived by Node 1 wrt Node 2

  5. Attack Model: Sinkhole Attack • Trust and reputation-based scores to ensure resilience against attacks such as sinkhole No attack (BS = Base Station) Node 3 successfully attacks

  6. Trust and Reputation Model The model proposed acts as follows: • When Node 3 starts an attack, by pretending to have the best route toward destination, we need: • A reliableway to checkifitislying (to measure trust) • A way to share thisinformation (to update neighbournsreputation) (BS = Base Station)

  7. Test of Trustworthiness Assuming to have a routing protocol enabling parties authentication • Node 4 forcesa pingthroughtwo alternate pathsone of whichincludes the node under test • Node 4 chooses the route with lower round trip time • If the selectedpathdoesnot use the testednodeas gateway the trust level of node 3 islowered • T43(t+1) = k* T43(t) k < 1 3

  8. Reputation • If a change in the trust levelof node 3 isgoing to occour, node 4 forwards a feedback to each of the nodes in itsneightbour list. • Eachnodereceiving the feedback accordinglycorrects the reputation of node 3 • Ri3(t+1) = f(Ri3(t), ΔT43)

  9. IntrusionTolerance • When a node must select a parent to reach the BS thisevaluationwill be based on: quality of the channel, trust level, and reputationlevel of the candidate node. • Thatis a Dependabilityfunctionisevaluated for each candidate and the new parentwill be the one with highestdependabilityvalue: • For each j in N: Dij(t+1) = f(Qij(t),Tij(t),Rij(t)) (N set of neighbours) • The node j suchthatDij(t+1) =Max(Dij(t+1)) isselectedas the parentone

  10. AODV Routing Protocol • Ad hoc On Demand Distance Vector (AODV) is a standard routing protocol defined by RFC 3561 (http://www.ietf.org/rfc/rfc3561.txt) • AODV is widely adopted e.g. in Bluetooth and Zigbee http://www.bluetooth.com/ http://www.zigbee.org/

  11. Implementation • A WSN was simulated through NS-3 • NS3 is a command-line, open source (GNU GPL v2) network simulator • Programming languages: C++, Python • Different WSNs routing protocols are implemented such as Optimized Link State Routing Protocol (OLSR) and Ad hoc On Demand Distance Vector (AODV) http://www.nsnam.org/

  12. Future Steps • To complete implementation • To test the effectiveness of the proposed model under different testbedconfigurations, and parameters tuning • To extendthe approach to manageotherkind of attacks

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