access icon free Restricted Boltzmann machine-based cognitive protocol for secure routing in software defined wireless networks

© The Institution of Engineering and Technology
Received 28/03/2017, Accepted 08/08/2017, Revised 24/07/2017, Published 11/08/2017

Secure and stable routing is a critical issue in a conventional network environment, as the control and data planes are integrated. An intelligent routing is highly essential to provide an attack free network to its intended users. The programmable software defined network is an emerging network paradigm in which the security policies and the forwarding rules are implemented in the controller via North Bound Interface. This study incorporates a cognitive neural network learning algorithm namely restricted Boltzmann machine (RBM), to detect the routing-based distributed denial of service attacks in dynamic source routing (DSR) protocol. RBM is a stochastic and unsupervised learning algorithm that self-learns the network conditions by using its reasoning capability and segregates malicious routes in the route cache using context-aware trust metrics such as reputation and energy consumption implemented in North Bound Application Programming Interface. The results show that a cognitive DSR protocol provides secure routing by increased packet delivery ratio, decreased end-to-end delay, reduced energy consumption and accurate detection of malicious routes compared with the conventional DSR protocol.

Inspec keywords: cache storage; Boltzmann machines; telecommunication computing; application program interfaces; stochastic processes; software radio; telecommunication security; routing protocols; radio networks; unsupervised learning

Other keywords: stochastic learning algorithm; energy consumption; RBM; data planes; security policies; routing-based distributed denial of service attack detection; cognitive DSR protocol; dynamic source routing protocol; attack free network; restricted Boltzmann machine; unsupervised learning algorithm; end-to-end delay; route cache; north bound application programming interface; packet delivery ratio; control planes; cognitive neural network learning algorithm; secure routing; forwarding rules; software defined wireless networks; network environment; intelligent routing; context-aware trust metrics

Subjects: Communication network design, planning and routing; Other topics in statistics; Communications computing; Neural computing techniques; Other topics in statistics; Protocols; General utility programs; Radio links and equipment

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