CIC Newsletter (March 2026)
MSCC Hackathon Coming to State April 3rd!
CIC Newsletter (March 2026) Read More »
Announcements CIC Newsletter
Published Research
Analytical Study on Advanced Persistent Threat Detecting, Defending and Mitigating
A. Al-Sinayyid, R.R. Battula, S. Kadiyala, V. Mannuru, T. Sanford, A. Sanchez
Analytical Study on Advanced Persistent Threat Detecting, Defending and Mitigating Read More »
Published Research
Comparative Analysis of AI-Powered Image Recognition for Dermatological Diagnosis
A. Al-Sinayyid, A. Sanchez, R.R. Battula, K. Sasidhar, V. Mannuru, T. Sanford
Comparative Analysis of AI-Powered Image Recognition for Dermatological Diagnosis Read More »
Published Research
SVM Enhanced Detection of Volume-Based Attacks in IoT Networks
A. Al-Sinayyid, R.R. Battula, K. Sasidhar, V.M. Mannuru, A. Sanchez, T. Sanford
SVM Enhanced Detection of Volume-Based Attacks in IoT Networks Read More »
Published Research
Comparing Machine Learning Algorithms for Detection and Prevention of Cyber-Attacks on IoT Devices: A Literature Review
J. Gilliland, A. Al-Sinayyid, R. Castellanos, N. Chiwele, E. Dhiramo, et al.
Published Research
Analytical Study for DDoS Detection Algorithms in Cloud Computing
A. Higginbotham, A. Al-Sinayyid, R. Castellanos, E. Dhiramo, J. Gilliland, et al.
Analytical Study for DDoS Detection Algorithms in Cloud Computing Read More »
Published Research
Artificial Intelligence-Driven Solutions for Phishing Detection: A Comparative Analysis of Machine Learning Models
R. Castellanos, A. Al-Sinayyid, E. Valencia, J. Gilliland, E. Dhiramo, et al.
Published Research
Defending Characteristics and Attribution Analysis for Phishing Attacks
A. Al-Sinayyid, M.J.A. Jewel, V. Mannuru, K. Sasidhar
Defending Characteristics and Attribution Analysis for Phishing Attacks Read More »
Research Team
Vaishnavi Kottala
Applying machine learning and deep learning models to improve DDoS detection and mitigation in 5G network environments.
Vaishnavi Kottala Read More »
Research Team
Esther Dhiramo
Evaluating intelligent intrusion detection strategies for SCADA and ICS environments across machine learning, deep learning, and hybrid models.