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Dr Suleiman Yerima

Job: Senior Lecturer in Cyber Security

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: 0116 257 7836

E: syerima@dmu.ac.uk

W: https://www.dmu.ac.uk

 

Personal profile

Dr. Suleiman Yerima is a Senior Lecturer of Cyber Security in the School of Computer Science and Informatics, De Montfort University, Leicester, U.K. He received his Ph.D. degree in Mobile Computing and Communications in 2009, from the University of Glamorgan, U.K. (now University of South Wales). He obtained his MSc (with Distinction) in Personal, Mobile, and Satellite Communications from the University of Bradford U.K. in 2004 and his B.Eng. (First Class) degree in Electrical and Computer Engineering from the Federal University of Technology, Minna, Nigeria in 2000.

He was a member of the Mobile Computing Communications and Networking (MoCoNet) research group at the University of Glamorgan from 2005 to 2009. After completing his PhD, he joined the University of Ulster, Northern Ireland, to work as a Postdoctoral Research Assistant at the EPSRC/DST funded UK-India Advanced Technology Centre of excellence in Next Generation Networks, Systems and Services (IU-ATC) from 2010 to 2011. Afterwards, he worked as a Research Fellow at the Centre for Secure Information Technologies (CSIT), Queen’s University Belfast, Northern Ireland, one of UK’s largest Academic Innovation and Knowledge Centre in Cyber Security, where he led the mobile security research theme from 2012 to 2017.

Dr. Yerima is a member of the IEEE, IAENG, and (ISC)2 professional societies. He is a Certified Information Systems Security Professional (CISSP) and a Certified Ethical Hacker (CEH). He was the recipient of the 2017 IET Information Security premium (best paper) award. His current research interests include malware analysis and detection, applied machine learning, mobile security, transparent authentication, IoT security and intrusion detection systems.

Research group affiliations

Cyber Technology Institute (CTI)

Publications and outputs

[Add Publications and Outputs content here]

Research interests/expertise

Malware analysis and detection

Applied machine learning

Intrusion detection systems

Transparent authentication

Mobile security

IoT security

Areas of teaching

Cyber Security

Digital Forensics

Qualifications

B.Eng, MSc, PhD

Courses taught

CTEC5807 - Malware Analysis (MSc), CTEC3754 -Malware Analysis (UG), CTEC3423- Digital Investigations (UG), CTEC3317- Malware Analysis (UG -apprenticeship)

Honours and awards

IET Information Security Premium (Best Paper) Award, 2017

Membership of professional associations and societies

The Institute of Electrical and Electronics Engineers (IEEE) [2004-date]

The International Information System Security Certification Consortium, or (ISC)² [2014 -date]

Professional licences and certificates

Certified Information Systems Security Professional (CISSP) - (ISC)²

Certified Ethical Hacker (CEH) - EC-Council

Projects

AVAC: enhancing agricultural value chains in Nigeria using data analytics and GIS (PI)|UKRI AAKTP| 2021 (24 months, start date TBC )| £233,780 

STEGA: Secure and trustworthy e-governance in Africa (PI) |DMU GCRF IG| Jan. 2020 – July 2021 | £25,000

SSIDAAS: Self Sovereign ID as-a-Service (Co-I)|CEM Enterprise grant | Jan. 2020 - Dec 2020 | £10,000

ADAM: Automated Detection of Android Malware (PI) |GCHQ | July 2013- March 2014| £30,000

Using smartphone applications to enhance longitudinal survey methods (Post Doc, QUB)|ESRC (ES/L003198/1)| June 2013 - Nov 2014| £196,725

IU-ATC: India-UK Advanced Technology Centre of Excellence in Next Generation Networks Systems and Services (Post Doc, University of Ulster)|EPSRC (EP/G051674/1)| Jan. 2010 - Dec. 2011| £491,657  

Recent research outputs

Yerima, S. Y., Alzaylaee, M.K., Shajan, A., and Vinod P (2021) Deep learning Techniques for Android Botnet detection. Electronics 2021, 10, 519. https://doi.org/10.3390/electronics10040519

Sarkar, D., Vinod P, Yerima, S. Y. (2020) “Detection of Tor Traffic using deep learning” 17th ACS/IEEE int. conf. on computer systems and applications AICCSA 2020, Antalya, Turkey, Nov. 2nd to 5th 2020.

Yerima, S. Y. and Alzaylaee, M . K. (2020) "Mobile Botnet Detection: A deep learning approach using convolutional neural networks". IEEE International Conference on Cyber Situational Awareness, Data Analytics and Assessment (Cyber SA 2020), Dublin, Ireland, 15-19 June, 2020.

Yerima, S. Y. and Alzaylaee, M. K. (2020) "High accuracy phishing detection using convolutional neural networks". Third International Conference on Computer Applications & Information Security (ICCAIS 2020), Riyadh, Saudi Arabia, 19-21 March, 2020 . 

Alzaylaee, M.K., Yerima, S.Y. and Sezer, S.(2020) DL-Droid: Deep learning Based android malware detection using real devices, Computers &Security, 89, 10163 

Yerima, S.Y., Alzaylaee,M.K. and Sezer, S.(2019) Machine learning-based dynamic analysis of Android apps with improved code coverage. EURASIP Journal on Information Security,4, p .1-24

Yerima, S.Y. and Khan, S. (2019) "Longitudinal performance analysis of machine learning based Android malware detectors" IEEE International Conference on Cybersecurity and Protection of Digital Services (Cyber Security 2019), Oxford, UK, 3-4 June 2019. 

Yerima, S. Y. and Sezer, S. (2018) DroidFusion: a novel multilevel classifier fusion approach for Android malware detection. IEEE Transactions on Cybernetics 49 (2), 453-466. DOI: 10.1109/TCYB.2017.2777960

Publication list on Google Scholar:  ‪suleiman yerima‬ - ‪Google Scholar‬

Publication list on DBLP: dblp: Suleiman Y. Yerima

Current research students

Abdullahi Gara Abdulrahman | IoT forensics | Oct. 2020 - | First Supervisor

Sarah De'Ath | Enhancing Digital Forensics Curriculum |Oct. 2018 - |First Supervisor

Completed PhDs:

Feng Yao (QUB) | Behaviour based implicit user authentication for mobile security | July 2017 | Second Supervisor

Basil Alothman | Robust botnet detection techniques for mobile and network environments |Dec. 2018| First Supervisor

Mohammed K. Alzaylaee (QUB)| Enhanced machine learning based dynamic detection of evasive Android malware | June 2019 | Second Supervisor

 

Professional esteem indicators

Guest Editor SI on High accuracy mobile malware detection using machine learning, MDPI Electronics -2020 -2021

Grant Reviewer for Luxembourg national research fund (FNR) -2020

Conference Technical Programme Committee member – IEEE NGMAST (2008, 2011, 2012, 2013, 2014, 2015, 2016), IEEE Cyber Security (2019 to date)

Workshop Chair, WoSTEG2020 – Workshops on Secure and Trustworthy E-Governance, Lusaka & Abuja (2020)

Regular reviewer for several high profile journals in Computer Science

ORCID number