Postgrad LIVE! Study Fairs

Birmingham | Edinburgh | Liverpool | Sheffield | Southampton | Bristol

London School of Hygiene & Tropical Medicine Featured PhD Programmes
Imperial College London Featured PhD Programmes
Birkbeck, University of London Featured PhD Programmes
University College London Featured PhD Programmes
Birkbeck, University of London Featured PhD Programmes

Sponsored PhD Studentship in Scalable Forensics for Future Networks

  • Full or part time
  • Application Deadline
    Wednesday, May 01, 2019
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

Project Description:
We live in an increasingly networked world. While this interconnection of systems can simplify our daily tasks such as banking, shopping, and working, it also exposes a volume of personal information that can be exploited for nefarious purposes. Data breach incidents are being reported by companies and organisations with greater frequency. Such incidents are predominantly orchestrated remotely relying on a network intrusion. As such, it is vital to analyse network events including network traffic, flow, and device logs to determine how an attack was carried out or how an event occurred on a network. Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) are emerging technologies in the fields of telecommunications and networking. In combination, SDNFV introduces a programmable, dynamic, and flexible network topology, which has the potential to alter how we approach network forensics.
This research will investigate and derive forensics tools and remediation techniques for SDNs that exploit intelligence harvested from the network for resource management, network security, integrity and control.

Aims:
The main aims of the proposed research are:
• To study state-of-the-art real-time traffic monitoring, analytics and forensics tools and algorithms and their suitability for SDNFV implementation.
• To investigate various intrusion and anomaly detection algorithms and SDN-specific traffic properties such as communication types/patterns, applications etc. that can be used to detect and isolate abnormal behaviour and threats.
• To study new methods for analysing SDNFV network usage and event extraction and correlation in a multi-tenant infrastructure with multiple SDN controllers.
• To design and develop a forensics framework specific to SDNFV and exploiting the SDNFV architecture.

Academic Requirements:
A minimum 2.1 honours degree or equivalent in Electrical and Electronic Engineering or relevant degree is required.
This is a NCSC-sponsored PhD studentship; therefore, only UK nationals are eligible for this funding.
NCSC will be offering the student an opportunity to work more closely with them – e.g., via a short secondment or attendance at technical meetings. As such, the recipient of this studentship will have to be appropriately security cleared by NCSC before they start their doctoral studies.

GENERAL INFORMATION
This NCSC-sponsored PhD studentship provides funding for 3.5 years and commences between April and October 2019. It covers approved tuition fees and a maintenance grant of approx. £22,500 each year (tax-free). A further £5k of funding will also be available per annum for travel to conferences, collaborative partners, NCSC visits, etc.
Applicants should apply electronically through the Queen’s online application portal at: https://dap.qub.ac.uk/portal/
Deadline for submission of applications is 01 May 2019.
(Early submission of applications is recommended)

Contact details:
Supervisor Name: Sandra Scott-Hayward Tel: 028 9097 1898
QUB Address: ECIT, QUB Email: /
Web: http://www.csit.qub.ac.uk
For further information on Research Area click on link below: http://www.csit.qub.ac.uk

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2018
All rights reserved.