Imperial College London

DrErisaKarafili

Faculty of EngineeringDepartment of Computing

Marie Curie Individual Fellow
 
 
 
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Contact

 

e.karafili Website

 
 
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Location

 

502Huxley BuildingSouth Kensington Campus

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Summary

 

Summary

Erisa Karafili is a Marie Curie Fellow at the Resilient Information Systems Security research group (RISS group), Department of Computing.


Her main research focus is solving different security problems with the use of formal methods together with techniques from artificial intelligence, knowledge representation, network security and social science.


Some of the problems Erisa Karafili is currently working are: attribution of cyber attacks, secure data sharing, access and usage control in cloud and data rich environments, autonomous systems decision making, automated configurations of distributed firewalls, ensuring data quality, formalizing malicious agents behaviors, representing and preventing vulnerabilities for virtualized systems and IoT devices.


Her main research interests are:


  • Formal Methods
  • Cyber Security
  • Security & Privacy
  • Forensics in Cyber Attacks
  • Non-monotonic Reasoning
  • Multi-Agent Systems
  • Knowledge Representation
  • Static Analysis
  • Data Sharing, Access and Usage Control

Publications

Conference

Arunkumar S, Pipes S, Makaya C, et al., Next generation firewalls for dynamic coalitions, DAIS Workshop, 2017 IEEE SmartWorld Congress, IEEE

Cullen A, Karafili E, Pilgrim A, et al., Policy support for autonomous swarms of drones, 1st International Workshop on Emerging Technologies for Authorization and Authentication, Springer Verlag, ISSN:0302-9743

Karafili E, Cristani M, Viganò L, A Formal Approach to Analyzing Cyber-Forensics Evidence

Karafili E, Sgandurra D, Lupu E, A logic-based reasoner for discovering authentication vulnerabilities between interconnected accounts, 1st International Workshop on Emerging Technologies for Authorization and Authentication, Springer Verlag, ISSN:0302-9743

Karafili E, Spanaki K, Lupu E, Access Control and Quality Attributes of Open Data: Applications and Techniques, Workshop on Quality of Open Data

More Publications