SDNMCHO: Software Define network based Multicriterion Hysteresis Optimization based for reliable device routing in Internet of Things for the smart surveillance application Abstract   Internet of Things (IoT) is a sophisticated communication paradigm that is capable of integrating diverse elements from humans to interactive machines. This kind of integration provides seamless and ubiquitous communication support for mobile users. The infrastructure of IoT environment endorses multiple technologies and networks where, selecting a precise neighbor device becomes mandatory for the extreme surveillance application. Itdetermines the reliability is service discovery and resource access. The process of request processing through reliable neighbor discovery is leveraged using multicriterion hysteresis optimization (MCHO) based on SDN aided routing that is discussed in this article. The introduced routing optimization method is capable of identifying reliable IoT neighbors for request handling and delivery. This routing process depends on the activation function that classifies neighbors on the basis of three metrics namely Received Signal Strength (RSS), Rank, and Expected Transmission Count (ETX)for differentiating the neighbors on the basis of their consistency. Through differentiated hysteresis analysis, the neighbors are segregated and hence optimal devices are integrated to form a request friendly route to the access layer. The introduced routing optimization method is evaluated through appropriate experiments and the results are verified using the metrics: throughput, request delivery ratio, delay, response time, request loss and average ETX.

Detection and Mitigation of DoS and DDoS Attacks in IoTBased Stateful SDN : An Experimental Approach The expected advent of the Internet of Things (IoT) has triggered a large demand of embedded devices, which envisions the autonomous interaction of sensors and actuators while offering all sort of smart services. However, these IoT devices are limited in computation, storage, and network capacity, which makes them easy to hack and compromise. To achieve secure development of IoT, it is necessary to engineer scalable security solutions optimized for the IoT ecosystem. To this end, Software Defined Networking (SDN) is a promising paradigm that serves as a pillar in the fifth generation of mobile systems (5G) that could help to detect and mitigate Denial of Service (DoS) and Distributed DoS (DDoS) threats. In this work, we propose to experimentally evaluate an entropybased solution to detect and mitigate DoS and DDoS attacks in IoT scenarios using a stateful SDN data plane. The obtained results demonstrate for the first time the effectiveness of this technique targeting real IoT data traffic.