InDReS: An Intrusion Detection and response system for Internet of Things with 6LoWPAN

Internet of Things (IoT), an emerging Internet based technical architecture where heterogeneous sensors collaborate for ubiquitous computing based on several technologies and standard communication protocols. With, such an amount of scaling and diverse technologies involved, IoT is susceptible to various threats. Hence, devising an IoT system, providing security through resistance against attacks is a de facto requirement to make IoT secure and operational. The existing works for detecting adversaries like SVELTE and INTI consume too much resource. Further, packet dropping ratio is high and number of nodes taken for evaluation is low with some critical metrics overlooked. A novel detection technique with constraint based specification is proposed in this paper which significantly improves the shortcomings of SVELTE and INTI. The effectiveness of proposed scheme is valuated through comparative analysis using NS-2 simulation tool.