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Richard Adeyemi Ikuesan

Assistant Professor
+971-2-599-3729
 
AUH Campus
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  • PhD Computer Science, 2015, Universiti Teknologi Malaysia 
  • Digital forensics; human and device attribution; Behavioral biometrics; Information assurance; malware and vulnerability analysis
  • Postdoctoral Fellow (concurrent), University of Pretoria South Africa and University of New South Wales Sydney Australia (2016 – 2018)
  • Visiting Researcher and Lead researcher for the Centre for digital policing studies, Federal University of Technology Minna, Nigeria (2018-2019)
  • Assistant Professor of Cybersecurity, Department of Information Technology, Community College of Qatar, Doha, Qatar (2019-2021)
  • Assistant Professor of Cybersecurity, Computing and Applied Technology Department, Zayed University Abu Dhabi, (from 2021)

  • Certified Forensic Examiner (EC Council CFHI, 2016 -present) 

Journals (Last Ten)

  • Singh, Avinash, Richard Adeyemi Ikuesan, and Hein Venter. "MalFe—Malware Feature Engineering Generation Platform." Computers 12, no. 10 (2023): 201. 
  • Alkuwaiti, Aysha, Mera Alremeithi, Haya Alobeidli, and Richard Ikuesan. "Towards the Development of Indicators of Fake Websites for Digital Investigation." In European Conference on Cyber Warfare and Security, vol. 22, no. 1, pp. 33-43. 2023. 
  • Mcuba, Mvelo, Avinash Singh, Richard Adeyemi Ikuesan, and Hein Venter. "The Effect of Deep Learning Methods on Deepfake Audio Detection for Digital Investigation." Procedia Computer Science 219 (2023): 211-219. 
  • Al-Dhaqm, Arafat, Shukor Abd Razak, Richard Adeyemi Ikuesan, Victor R. Kebande, and Kamran Siddique. "A review of mobile forensic investigation process models." IEEE access 8 (2020): 173359-173375. 
  • Ikuesan, Adeyemi R., Mazleena Salleh, Hein S. Venter, Shukor Abd Razak, and Steven M. Furnell. "A heuristics for HTTP traffic identification in measuring user dissimilarity." Human-Intelligent Systems Integration 2 (2020): 17-28. 
  • Kebande, Victor R., Richard A. Ikuesan, Nickson M. Karie, Sadi Alawadi, Kim-Kwang Raymond Choo, and Arafat Al-Dhaqm. "Quantifying the need for supervised machine learning in conducting live forensic analysis of emergent configurations (ECO) in IoT environments." Forensic Science International: Reports 2 (2020): 100122. 
  • Al-Dhaqm, Arafat, Shukor Abd Razak, David A. Dampier, Kim-Kwang Raymond Choo, Kamran Siddique, Richard Adeyemi Ikuesan, Abdulhadi Alqarni, and Victor R. Kebande. "Categorization and organization of database forensic investigation processes." IEEE Access 8 (2020): 112846-112858. 
  • Kebande, Victor R., Richard A. Ikuesan, Nickson M. Karie, Sadi Alawadi, Kim-Kwang Raymond Choo, and Arafat Al-Dhaqm. "Quantifying the need for supervised machine learning in conducting live forensic analysis of emergent configurations (ECO) in IoT environments." Forensic Science International: Reports 2 (2020): 100122. 
  • Ikuesan, Adeyemi R., and Hein S. Venter. "Digital behavioral-fingerprint for user attribution in digital forensics: Are we there yet?." Digital Investigation 30 (2019): 73-89. 
  • Baror, Stacey O., Hein S. Venter, and Richard Adeyemi. "A natural human language framework for digital forensic readiness in the public cloud." Australian Journal of Forensic Sciences 53, no. 5 (2021): 566-591. 
  • You are not as anonymous as you think, Science Daily, June 7, 20216. onlinehttps://www.sciencedaily.com/releases/2016/06/160607112834.htm 
  • SEC 620 Information Security Management
  • SEC 630 Cyber Forensics