Contact

Phone: 470-578-7243

Email: rjone318@kennesaw.edu

Office Location: M 108

Office Hours:
Mondays 2:00 PM and 6:30 PM Tuesdays 2:00 PM and 7:30 PM

Research

 

Jones, R. (2024, November). Revolutionizing Cybersecurity with Deep Learning: Securing NLP Models and IoT Environments. Capitol Technology University. Laurel, MD

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.

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 
DOI: 10.2478/raft-2024-0011

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

Jones, R, (2024) 
Enhancing IoT Security Leveraging Advanced Deep Learning Architectures for Proactive Botnet Detection and Network Resilience
Redefining Security with Cyber AI
DOI: 10.4018/979-8-3693-1634-4.ch013

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
https://ojs.unikom.ac.id/index.php/injiiscom/article/view/12741/4290

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 
Jones, R, (2024) 
Beyond Traditional Learning: Leveraging BERT for Enhanced Android Malware Detection, (p.392). IGI Global. 
DOI: 10.4018/979-8-3693-3226-9

Jones, R, (2024)
The Impact of AI on Secure Cloud Computing: Opportunities and Challenges
The Indonesian Journal of Computer Science 13(4):108-118 
DOI: https://doi.org/10.33022/ijcs.v13i4.4383
Jones, R, (2024) 
Techniques and Approaches for Leveraging LLMs in Security Analysis
DOI:  10.4018/979-8-3693-9311-6.ch003
Jones, R, (2024) 
Integration of LLMs With Traditional Security Tools
DOI:  10.4018/979-8-3693-9311-6.ch008



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