Hierarchical High Dimensional Clustering for Network Security

Lead Research Organisation: University of Sussex
Department Name: Sch of Mathematical & Physical Sciences

Abstract

Network security is an area of critical importance in terms of data protection and maintenance of services, which in turn affects every industry ranging from finance to medicine to communications. The World Economic Forum has just published "The Global Risks Report 2017" and lists cyberattacks as one of the biggest risks of any type in terms of both likelihood and impact; in terms of impact it is rated as the biggest technological risk we face.

The aim of the proposed project is to develop a software-based solution for network monitoring and security. This solution would be an adaptation of the software architecture, algorithms and expertise developed for the LHC ATLAS experiment trigger system under STFC funded research at University of Sussex.

Following proof-of-concept work in partnership with industry and further software and IP development we will be pursuing routes to commercialisation. The commercialised software will benefit businesses in UK economy through prevention of network attacks.

Publications

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Description We developed this activity up until submitting an application for a 3-years IP Award with STFC to apply the techniques developed in this FoF fellowship to detecting deception. Although the proposal was considered interesting by the reviewers, it was not considered mature enough for commercialisation, hence the application was unsuccessful.
Exploitation Route In order to be taken forward, the application would need a thorough Pathway to Commercialisation.
Sectors Creative Economy,Digital/Communication/Information Technologies (including Software),Government, Democracy and Justice,Security and Diplomacy

 
Description STFC IAA 2016/2017 - tranche 2
Amount £14,500 (GBP)
Organisation Science and Technologies Facilities Council (STFC) 
Sector Public
Country United Kingdom
Start 04/2017 
End 06/2017