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Claude Fachkha

Researcher at University of Dubai

Publications -  26
Citations -  618

Claude Fachkha is an academic researcher from University of Dubai. The author has contributed to research in topics: Darknet & Denial-of-service attack. The author has an hindex of 9, co-authored 23 publications receiving 486 citations. Previous affiliations of Claude Fachkha include Concordia University Wisconsin & Concordia University.

Papers
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Journal ArticleDOI

Communication security for smart grid distribution networks

TL;DR: This article targets the network security of the advanced metering infrastructure coupled with the data communication toward the transmission infrastructure, and discusses the security and feasibility aspects of possible communication mechanisms that could be adopted on that subpart of the grid.
Journal ArticleDOI

Darknet as a Source of Cyber Intelligence: Survey, Taxonomy, and Characterization

TL;DR: A survey on darknet finds that Honeyd is probably the most practical tool to implement darknet sensors, and future deployment of darknet will include mobile-based VOIP technology, and specific darknet areas that require a significantly greater amount of attention from the research community are identified.
Proceedings ArticleDOI

Internet-scale Probing of CPS: Inference, Characterization and Orchestration Analysis.

TL;DR: This paper uniquely exploits passive monitoring and analysis of a newly deployed network telescope IP address space in a first attempt ever to build broad notions of real CPS maliciousness and proposes and empirically evaluates an innovative hybrid approach rooted in time-series analysis and context triggered piecewise hashing to infer, characterize and cluster orchestrated and well-coordinated probing activities targeting CPS protocols.
Proceedings ArticleDOI

Fingerprinting Internet DNS Amplification DDoS Activities

TL;DR: In this article, the authors proposed a novel approach to infer and characterize Internet-scale DNS amplification DDoS attacks by leveraging the darknet space, which can extract DDoS activities without relying on backscattered analysis.
Journal ArticleDOI

Inferring distributed reflection denial of service attacks from darknet

TL;DR: The extracted insights from various validated DNS DRDoS case studies lead to a better understanding of the nature and scale of this threat and can generate inferences that could contribute in detecting, preventing, assessing, mitigating and even attributing of DRDoS activities.