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Nathan S. Rutherford

PhD Research Student in Information Security

CDT in Cyber Security - Royal Holloway, University of London

Biography

Nathan joined the Royal Holloway after completing an MSci (Hons) in Computer Science at Lancaster University. During his time at Lancaster he worked as a Research Associate on a number of projects ranging from language processing to augmenting network monitoring using Software Defined Networking (SDN). Nathan's research interests include but are not limited to; cybercrime, malware, and usable security.

Interests

  • Cybercrime
  • Malware
  • Systems Security
  • Usable Security

Education

  • PhD in Information Security, Present

    Royal Holloway, University of London

  • MSci in Computer Science, 2019

    Lancaster University

Experience

 
 
 
 
 

Research Associate

Networking Research Group | Lancaster University

Jun 2019 – Sep 2019 Lancaster, UK
Research and development of proof-of-concept systems for augmenting network monitoring using P4 and other SDN technologies.
 
 
 
 
 

Security Researcher (Placement)

Amiosec Ltd

Jan 2019 – Apr 2019 Lancaster/Teweksbury, UK
Performed a security compatibilities assessment of P4, a new toolchain for programming network elements (e.g. switches). Based on this assessment, VHDL and P4 methods for developing FPGA-based packet processors were compared. The result from this was a technical report and in-house presentation delivered to Amiosec.
 
 
 
 
 

Undergraduate Research Associate

UCREL | Lancaster University

Jun 2018 – May 2019 Lancaster, UK
Engineered a large-scale biomedical corpus query system and NLP pipeline (BioTM) using open-source software that processed over 10,000 open-access academic papers. This tool allowed biomedical researchers to apply common corpus linguistic methods to aid hypothesis generation for future research.
 
 
 
 
 

Research Intern

SCC & Psychology | Lancaster University

Jul 2017 – Jun 2018 Lancaster, UK
Developed a proof-of-concept android application that interfaced with an OpenBCI board for portable collection of EEG (electrical activity of the brain) data in psychology studies concerned with epilepsy monitoring. This app was demonstrated at the 2018 Digital Health Showcase at Lancaster University.

Recent Posts

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook

Rossow et al provide a critique of the scientific method when performing dynamic analysis of malware and propose a number of guidelines …

Recent & Upcoming Talks

Super-infrastructure for Biomedical Text Mining

We present and demo a super-NLP-infrastructure for biomedical text-mining aimed at an audience of NLP practitioners.

Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger

As part of the HG2BTM workshop we presented an overview of the work carried out as part of the BioTM project.

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