Multi-modal machine learning for cybersecurity

With the time, the intruders are becoming more intelligent with higher ability of attacking networks without being identified. Multi-modal machine learning-based intelligent intrusion detection systems must be designed to identify stealthy and adversarial cyber attacks. Learning different representations of attack features will provide higher capabilities of distinguishing between the legitimate event and the illegitimate pattern. However, these advances should be developed within the limited resources of IoT such that a trade-off between computational complexity and efficiency of the system is achieved. Perspective applicants are encouraged to contact the Supervisor before submitting their applications. Applications should make it clear the project you are applying for and the name of the supervisors.

Academic qualifications 

A first-class honours degree, or a distinction at master level, or equivalent achievements ideally in Engineering, Computer Science, or Statistics. 

English language requirement 

If your first language is not English, comply with the University requirements for research degree programmes in terms of English language. 

Application process 

Prospective applicants are encouraged to contact the supervisor, Dr Sana Ullah Jan ([Email Address Removed]) to discuss the content of the project and the fit with their qualifications and skills before preparing an application. 

The application must include:  

Research project outline of 2 pages (list of references excluded). The outline may provide details about 

• Background and motivation, explaining the importance of the project, should be supported also by relevant literature. You can also discuss the applications you expect for the project results. 
• Research questions or 
• Methodology: types of data to be used, approach to data collection, and data analysis methods. 
• List of references 

The outline must be created solely by the applicant. Supervisors can only offer general discussions about the project idea without providing any additional support. 

• Statement no longer than 1 page describing your motivations and fit with the project. 
• Recent and complete curriculum vitae. The curriculum must include a declaration regarding the English language qualifications of the candidate. 
• Supporting documents will have to be submitted by successful candidates. 
• Two academic references (but if you have been out of education for more than three years, you may submit one academic and one professional reference), on the form can be downloaded here. 

Applications can be submitted here.

Download a copy of the project details here.