Research
Jones, R. (2023, October). Harnessing the Power and Speed of Machine Learning to Advance Cybersecurity. Capitol Technology University. Laurel, MD.
Jones, R. (2016, June). The Role of Telecommuting in the Information Technology Industry and Work-Life Balance: A Multiple Case Study. National University, San Diego, Ca.
Jones, R. (In-progress). Revolutionizing Cybersecurity with Deep Learning: Securing NLP Models and IoT Environments. Capitol Technology University. Laurel, MD
University of Havana, Study Abroad, Havana, Cuba 2014; Northcentral University PhD, Coalition for Research to Practice
Universidad Autónoma de Coahuila Oficial, Cultural Study Abroad, Saltillo, Mexico 1994; Grambling State University Study abroad Spanish cultural of Mexicans
Publications
Jones, R., & Omar, M., (2023).
Detecting IoT Malware with Knowledge Distillation Technique
IEEE Computer Society
DOI 10.1109/CSCE60160.2023.00026
Jones, R., Omar, M., Mohammed, D., Dawson, M. (2023).
Harnessing the Power of GPT Model to Generate Adversarial Examples
IEEE Computer Society
DOI 10.1109/CSCE60160.2023.00279
Jones, R., Omar, M., Mohammed, D., Nobles, C., Dawson, M. (2023).
Harnessing the Speed and Accuracy of Machine Learning to Advance Cybersecurity
IEEE Computer Society
DOI 10.1109/CSCE60160.2023.00074
Jones, R., Omar, M, (2024)
Codeguard Utilizing Advanced Pattern Recognition In Language Models Land Forces Academy Review
Land Forces Academy Review 29(1):108-118
Jones, R., Omar, M., Mohammed, D., Nobles, C., Dawson, M. (2023).
IoT Malware Detection with GPT Models
IEEE Computer Society
DOI: 10.1109/CSCE60160.2023.00288
Rongxuan Song† , Jun Wu∗†, Qianqian Pan, Muhammad Imran, Niddal Naser, Rebet Jones, Christos Verikoukis December 2023
Zero-Trust Empowered Decentralized Security Defense against Poisoning Attacks in SL-IoT: Joint Distance-Accuracy Detection Approach
Conference: GLOBECOM 2023 - 2023 IEEE Global Communications Conference
DOI: 10.1109/GLOBECOM54140.2023.10437789
Jones, R., Omar, M, (2024)
Revolutionizing Cybersecurity: The GPT-2 Enhanced Attack Detection and Defense (GEADD) Method for Zero-Day Threats
Jones, R, (2024)
Beyond Traditional Learning: Leveraging BERT for Enhanced Android Malware Detection, IGI Global DOI: 10.4018/979-8-3693-3226-9
Omar, M., Jones, R., Burrell D., Dawson, M., Nobles, C., Mohammed, D., Bashir, A.(2023).
Harnessing the Power and Simplicity of Decision Trees to Detect IoT Malware, IGI Global
DOI: 10.4018/979-8-3693-1634-4.ch013
