CTJIF-ICN: A coadjuvant trust joint interest forwarding mechanism in
information centric networks
Abstract
The Information centric networks (ICN) transforms the focal point of
current Internet paradigm to data centric approach from host centric
approach by allowing content driven forwarding and in-network caching
mechanisms. Though NDN (Named data networking) paradigm of ICN assures a
secure content communication, it is vulnerable to different attacks by
the malicious nodes. To minimize the hazards from compromised nodes and
to improve the network security, the remaining nodes should
transparently receive information about such nodes. This will restrict
the forwarding strategy to exploit these malicious nodes for forwarding
interest and content as well. Our protocol introduces a dynamic model
for prediction of trust in order to evaluate the node trust. Proposed
approach observes the historical behaviors of node and uses extended
fuzzy logic rules for the prediction of future behaviors to evaluate the
node’s trust value. This prediction model is incorporated within the
trust based forwarding mechanism that aims to forward interest through
secure and shortest path. The extensive simulation study has been
carried out to analyze the protocol performance in ns-3 driven
ndnSIM-2.0 simulator for performance metrics such as data discovery
latency, packet delivery ratio, network overhead, detection ratio and
cache hit ratio. When we integrate our trust joint forwarding strategy
to state-of-the-art protocols, their performance is significantly
improved up to approximately 10-35% against stated performance measures
for realistic network topology.