RISS

Resilient Information Systems Security

Javier Carnerero Cano

Javi joined the group as a PhD Candidate in May 2018. He received his MEng in Telecommunications Engineering and his MRes in Multimedia and Communications from Universidad Carlos III de Madrid (Spain). He is currently interested in adversarial machine learning, aiming to investigate the security of machine learning algorithms (with special focus on data poisoning attacks); bilevel optimization problems; Generative Adversarial Networks (GANs); and applications of machine learning in security. You can also find him on his personal website, LinkedIn, Google Scholar, ResearchGate and GitHub.

SECURING CONNECTED DEVICES IN PHYSICAL SPACES

An Infographic based on our work has been published by IoT UK, which describes the fusion of the digital, physical and human aspects in IoT systems the vulnerabilities this introduces and the way to leverage these aspects to defend systems against malicious threats. Find the Infographic here.  

Can We Trust Cyber-Physical Systems?

A post/blog entry on the trustworthiness of cyber-physical systems including consideration of Malicious Data Injections, Adversarial Machine Learning and Bayesian Risk Assessment. Follow this link to the post.

Ensuring the resilience of WSN to Malicious Data Injections through Measurements Inspection

Malicious data injections pose a severe threat to the systems based on Wireless Sensor Networks (WSNs) since they give the attacker control over the measurements, and on the system’s status and response in turn. Malicious measurements are particularly threatening when used to spoof or mask events of interest, thus eliciting or preventing desirable responses. Spoofing and masking attacks are particularly difficult to detect since they depict plausible behaviours, especially if multiple sensors have been compromised and collude to inject a coherent set of malicious measurements. Previous work has tackled the problem through measurements inspection, which analyses the inter-measurements correlations induced […]

Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks

Vittorio P. Illiano, Andrea Paudice, Luis Muñoz-González, and Emil C. Lupu. 2018. Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks. ACM Trans. Sen. Netw. 14, 1, Article 5 (February 2018), 35 pages. DOI: https://doi.org/10.1145/3176621 Abstract: Measurements collected in a wireless sensor network (WSN) can be maliciously compromised through several attacks, but anomaly detection algorithms may provide resilience by detecting inconsistencies in the data. Anomaly detection can identify severe threats to WSN applications, provided that there is a sufficient amount of genuine information. This article presents a novel method to calculate an assurance measure for the network […]

When can we trust cyber-physical systems?

Video of the presentation given in the Cyber security session of the Codex ‘World’s Top 50 Innovators’. The session also included presentations from Mikko Hypponen, Chief Research Officer, F-Secure, Andrew Rubin, CEO and Founder, Illumio, and Dave Palmer, Director of Technology, Darktrace as well as a panel discussion.  

Jukka Soikkeli

Jukka joined the group as a PhD student on the HiPEDS CDT in October 2017. His current research interests are in ways to measure and improve the cyber-resilience of partially compromised networks, and in network risk analysis using attack graphs. Jukka holds an MSc in Computing Science from Imperial College London, and degrees in economics from the University of Oxford and the University of St Andrews.

Hassan Chizari

Dr. Hassan Chizari has joined the RISS Group in February 2017, coming from Universiti Teknologi Malaysia (UTM). Hassan is a Post Doctorate Research Associate (PDRA) in Imperial College London. He did his bachelor and master degree in Shiraz University (IRAN) on ‘Computer Hardware’ and ‘Artificial Intelligence and Robotics’ respectively. He was a PhD candidate in UTM studying on Wireless Sensor Networks and he was awarded the PhD on Computer Networks. He worked in Imam Khomeini International University (IKIU) and Universiti Teknologi Malaysia (UTM) as a Lecturer and a Senior Lecturer for about 9 years. His main research interest is Wireless Sensor […]

US-UK DAIS ITA

We are proud to be part of the US-UK DAIS ITA working in particular at the policy-based techniques of the future, revising and re-thinking the intersection between policy-based control and autonomy. Announcement USUK DAIS ITA site  Wikipedia Page  

Rabih Mohsen

Rabih has recently joined the group and contributes to several activities.