Cyber Security Seminar on IoT Security

  • Date and time: Tuesday 7 July 2020, 3.30pm
  • Location: Online
  • Admission: Free admission

Event details

We have two short presentations by our MSc Cyber Security graduates on their MSc projects that are accepted to CSNDSP 2020:

Heartbeat-Based Detection of Blackhole and Greyhole Attacks in RPL Networks

Presenters: Eric Garcia Ribera and Brian Martinez Alvarez
Abstract: IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) has been designed to handle routing in IoT. We investigate the detection of blackhole and greyhole attacks in RPL networks. We evaluate the existing heartbeat-based detection method for blackhole attacks and propose its modification for greyhole attacks. Extensive experiments have been performed to verify the accuracy and effectiveness of the new method using Contiki-NG and Cooja simulator. The obtained results show that the method is accurate in detecting the attacks. The overhead introduced by the modified heartbeat protocol in terms of CPU usage and battery consumption is found to be negligible.

Performance Evaluation of a Wormhole Detection Method Using Round-Trip Times and Hop Counts in RPL-Based 6LoWPAN Networks

Presenter: Charisma Samuel
Abstract: The IPv6 over Low-power Wireless Personal Area Network (6LoWPAN) has been standardized to support IP over lossy networks. RPL (Routing Protocol for Low-Power and Lossy Networks) is the common routing protocol for 6LoWPAN. Among various attacks on RPL-based networks, the wormhole attack may cause severe network disruption and is one of the hardest to detect. We have designed and implemented in ContikiOS a wormhole detection technique for 6LoWPAN, that uses round-trip times and hop counts. In addition, the performance of this technique has been evaluated in terms of power, CPU, memory, and communication overhead.

Join via zoom

Meeting: https://york-ac-uk.zoom.us/j/92371858574?pwd=cmU0Z3ZxQU9uOE9WczI4S0orcXZQQT09

Meeting ID: 923 7185 8574

Password: 083189

Contact us

+44 (0)1904 325501
Department of Computer Science, University of York, York YO10 5GH