Internet of Things (IoT) is having an exponential growth in a multitude of applications. However, the security of IoT has been always neglected, leading to large-scale attacks on IoT devices. The heterogeneous nature of IoT devices exposes them to diverse attack vectors and attacks on critical infrastructure, causing alarm for all stakeholders involved. Recent large-scale attacks such as Mirai and IoT Reaper demonstrate the gravity of these threats faced, along with increasing novel methods of exploiting vulnerabilities.

The Workshop on IoT Security, conducted by ReSILIoT team in iTrust will shed light on these threats. In addition, the researchers will present state-of-the-art research work on IoT security in response to current and future threats.

Beginning with an automatic IoT testbed that facilitates vulnerability assessment for IoT devices, the workshop will cover a scalable high interaction IoT honeypot, a host-based anomaly detection system, an IoT scanner to monitor the presence of IoT devices in the neighbourhood, a machine learning-based approach for identification of IoT device types, a network-based IoT botnet attacks detection and a deep learning method to detect compromised IP cameras. The presentations will be complemented with demonstrations. Details are given here.

Agenda:

  • 09:30 – 10:00 Registration
  • 10:00 – 10:15 Introduction
  • 10:15 – 11:30 IoT Testbed
  • 11:30 – 11:45 Coffee break
  • 11:45 – 12:45 IoT Honeypot
  • 12:45 – 13:15 Host based IDS for IoT
  • 13:15 – 14:00 Lunch
  • 14:00 – 14:45 IoT Scanner
  • 14:45 – 15:30 Detecting IoT devices in Enterprise environment
  • 15:30 – 15:45 Coffee break
  • 15:45 – 16:15 Network Based Detection of IoT Botnet Attacks (NBaIoT)
  • 16:15 – 17:00 Detecting compromised IP cameras using deep learning

[Registration closed]