Projects

Hybrid Universal Network Coding Cryptosystem (HUNCC) provide secure communication with a high data rate over a communication network. This approach achieves computational security against strong eavesdroppers who observe all communication links, as well as information-theoretic security against weaker adversaries who can only access a subset of links. We study an energy efficient hardware design of HUNCC as well as its security claims through mutual information estimation and analysis.

In this work, we focus on developing practical sliding window recoders for multi hop wireless networks. The sliding window network coding achieves the optimal capacity of cascaded channel through recoding, with a low computational overhead. This also achieves high reliability and low latency over multi-hop networks with strong guarantees on the performance.

“SEcure Network Coding for Reduced Energy nexT generation Mobile Small cells (SECRET)” is an Innovative Training Network consortium funded and supported by the European Commission within its framework Horizon 2020 Marie Sklodowska-Curie Actions. Individual project focused on Secure network coding against pollution attacks in network coding enabled mobile small cells. This research work also leads to the completion of  my Ph.D. Being part of the ITN, research focus was on exploiting network coding and the scope of homomorphic MAC and signature-based integrity schemes which will ensure the security of network coded small cells with D2D multihop communication scenarios. In addition, appropriate key management schemes are defined to support the integrity schemes. Further, analyzing the possibilities of a secure architecture for mobile small cells enhanced by blockchains and/or software defined networks was an important part of the project.

I contributed to the initial designs of the framework and modeling of the system. The project was focused on detecting DDoS attacks and proposed economic incentive-based third-party solutions to defend DDoS traffic. Also worked with a simulator named PN2Sim, developed at the Yamaguchi University, Japan for modeling.

This dissertation analyzed the security of the Internet of Things environment from various perspectives and propose a DDoS Defence mechanism based on our studies. In fact, a two-phase defence mechanism was proposed. In the first phase, the defence is solely depending on the capability imposed on the gateway router with the proposed DDoS mitigation algorithm. Further, this solution was improved to handle higher level attacks by transferring the risk to an already agreed third party who is ready to handle the risk of attack and thus protecting the system. This proposed model is very suitable for a resource-constrained IoT environment like smart homes in which a number of IoT-enabled devices from different vendors are connected together.