ALBANIAN ROLE MODELS IN TECH! - Inspiring the next generation of women in technology.
In this episode we are featuring with Erisa Karafili, an inspiring role model and successful women in STEM.
Dr Erisa Karafili is a Lecturer (Assistant Professor) in Cybersecurity at the School of Electronics and Computer Science, University of Southampton. Previously, Dr Karafili was a Marie Curie Fellow at the Department of Computing, Imperial College London, working on the problem of investigating and attributing cyber-attacks (AF-Cyber Project). Also, she was a Research Associate at Imperial College London and a PostDoc at the Technical University of Denmark. Dr Karafili obtained her PhD in Computer Science from the University of Verona, with a special focus on non-classical logics applied to security problems in multi-agent systems. Her main research areas are Formal Methods applied to Security problems, Attribution and Analysis of Cyber-Attacks, Data Sharing, Data Access Control, Formalizing Risks and Threat Models, Knowledge Representation.
Erisa will talk about Forensic Analysts during the investigation of Cyber-Attacks, but will also give career advice on her experience as a Lecturer in some of the best universities of the world.
***Details about her Technical speech***
Title: Helping Forensic Analysts during the Investigation of Cyber-Attacks
Abstract: The frequency and harmfulness of cyber-attacks are increasing every day, and with them also the amount of data that the cyber-forensics analysts need to collect and analyze. In my talk, I will present two techniques that help the forensics analyst to analyze and attribute cyber-attacks. The first technique is a formal analysis process that allows an analyst to filter the enormous amount of evidence collected, identify crucial information about the attack, and perform a pre-analysis in order to then draw conclusions more swiftly and efficiently. The second technique is a novel argumentation-based reasoner (ABR) for analyzing and attributing cyber-attacks that includes in its reasoning technical and social evidence.