Visible to the public Biblio

Filters: Author is Jinwala, Devesh C.  [Clear All Filters]
2020-06-01
Patel, Himanshu B., Jinwala, Devesh C..  2019.  Blackhole Detection in 6LoWPAN Based Internet of Things: An Anomaly Based Approach. TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON). :947—954.

The Internet of things networks is vulnerable to many DOS attacks. Among them, Blackhole attack is one of the severe attacks as it hampers communication among network devices. In general, the solutions presented in the literature for Blackhole detection are not efficient. In addition, the existing approaches do not factor-in, the consumption in resources viz. energy, bandwidth and network lifetime. Further, these approaches are also insensitive to the mechanism used for selecting a parent in on Blackhole formation. Needless to say, a blackhole node if selected as parent would lead to orchestration of this attack trivially and hence it is an important factor in selection of a parent. In this paper, we propose SIEWE (Strainer based Intrusion Detection of Blackhole in 6LoWPAN for the Internet of Things) - an Intrusion detection mechanism to identify Blackhole attack on Routing protocol RPL in IoT. In contrast to the Watchdog based approaches where every node in network runs in promiscuous mode, SIEWE filters out suspicious nodes first and then verifies the behavior of those nodes only. The results that we obtain, show that SIEWE improves the Packet Delivery Ratio (PDR) of the system by blacklisting malicious Blackhole nodes.

2017-04-24
Patel, Himanshu B., Jinwala, Devesh C., Patel, Dhiren R..  2016.  Baseline Intrusion Detection Framework for 6LoWPAN Devices. Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services. :72–76.

Internet Engineering Task Force (IETF) is working on 6LoW-PAN standard which allows smart devices to be connected to Internet using large address space of IPV6. 6LoWPAN acts as a bridge between resource constrained devices and the Internet. The entire IoT space is vulnerable to local threats as well as the threats from the Internet. Due to the random deployment of the network nodes and the absence of tamper resistant shield, the resource constrained IoT elements face potential insider attacks even in presence of front line defense mechanism that involved cryptographic protocols. To detect such insidious nodes, an Intrusion Detection System (IDS) is required as a second line of defense. In this paper, we attempt to analyze such potential insider attacks, while reviewing the IDS based countermeasures. We attempt to propose a baseline for designing IDS for 6LoWPAN based IoT system.