Dynamic Threat Prevention in Cloud Firewalls Using Hybrid Machine Learning for IP Reputation Intelligence
Hybrid RF / SVM / LR / KNN / XGBoost model; 98.04% accuracy.

PhD · MSc · BIT · MBCS
Senior Lecturer in Blockchain / Cybersecurity / Information Security · Postdoctoral Researcher in Artificial Intelligence · Visiting Lecturer (UK & Sri Lanka) · Security Architect.
chanaka.lasantha@gmail.com +94 71 580 7577 Colombo, Sri Lanka
Professional Summary
Postdoctoral Researcher in Artificial Intelligence and cybersecurity academic with 25 years of experience. Holds a PhD in Information Security and Forensics, an MSc in Network and Information Security with Distinction, and a BIT. Currently undertaking a Postdoctoral Fellowship in Artificial Intelligence at SR University, with an active research programme on AI and machine-learning driven cybersecurity. Serves as a Senior Visiting Lecturer at several UK and Sri Lankan universities, delivering postgraduate and undergraduate modules in cybersecurity, malware analysis, cloud security and artificial intelligence. Maintains a strong research record, with thirteen peer-reviewed journal and conference publications and a contributed book chapter, and contributes to the scholarly community as an IEEE conference reviewer and technical programme committee member.
Professional & Industry Experience
Security architect and leader for banks, enterprises and governments across three continents — proven impact, ready to deploy. Available now for senior roles and consulting.
Cut security incidents by 93% and MTTR from 4 hours to 45 minutes; 100% compliance across ISO 27001, GDPR, PCI DSS, FedRAMP & NIST; Zero Trust across AWS/Azure/GCP; hybrid ML for IP-reputation validation with AWS WAF & GuardDuty; led a security team across five locations.
Automated pentesting engine (−60% testing time); MITRE ATT&CK across SOC; enterprise Zero Trust & ML threat-hunting (>1 TB logs/day); automated DR reducing RTO from 24h to 2h with 99.99% uptime.
Led 15-member team on Vodafone ISP programme; secure CI/CD (Jenkins, Git, Docker, K8s) with SAST/DAST (−80% deploy vulns); WSO2 SSO/MFA for 10,000+ users across AWS; −65% post-production issues.
Hardened SAP/Oracle ERP (5,000+ users); secured 200+ ATMs and 500+ POS across 100 branches; Oracle Grid HA & DR for 50+ apps (99.95% uptime, 15-min RPO); centralized SIEM (500 GB+/day).
Nationwide ISP for 8,000+ customers; 4G LTE/WiMAX/SCDMA across three cities; OpenStack hybrid cloud & GlusterFS; IDS/IPS/ASA HA and SOC/SIEM.
RHEL/CentOS & Microsoft estates, VMware ESXi; Cisco routers/switches/firewalls/VPNs; SLPA Mega Port fibre-optic security & Dialog call-centre rollout.
Marine navigation & satellite communication systems; auto-pilot, safety and defense systems aboard high-speed and deep-sea vessels.
Academic Appointments
Senior Visiting Lecturer at leading UK and Sri Lankan universities, delivering research-informed postgraduate and undergraduate modules in cybersecurity, AI, malware analysis and cloud security.
MSc programmes (Level 7). Module: Incident Management and Response.
MSc & BSc (Hons): Secure Software Systems Architecture; Reverse Engineering & Memory Forensics; ML-driven Malware Analysis; IoT Security & IDS; Cloud Computing Security (AWS, Azure, GCP).
BSc (Hons): Cyber Warfare & Information Warfare; Blockchain and Applications.
BSc (Hons): cloud computing security, network security protocols & policies, authentication mechanisms and security modelling.
Education
School of Computer Science & AI, SR University. Research on AI & ML-driven cybersecurity — adaptive threat detection, cloud security intelligence, and translating research into applied security systems.
IIC University of Technology, Cambodia. Research: “Machine Learning Approaches for Adaptive IP Reputation Validation and Defense in Cloud Security.”
Kingston University, UK. Thesis: “Security Enhancement in Database Grid Infrastructure for Storage Clusters.”
University of Colombo School of Computing, Sri Lanka.
City & Guilds of London Institute, UK.
Research Interests
Publications
Several papers are co-authored; full author lists shown as “et al.” where pending.
Indexed & Peer-Reviewed Journals
Hybrid RF / SVM / LR / KNN / XGBoost model; 98.04% accuracy.
Federated learning for privacy-preserving IoT security; 98% accuracy.
Isolation Forest, LOF and DBSCAN; 92% detection accuracy.
Double-blind peer-reviewed; Wazuh SOC and MITRE ATT&CK integration.
OpenAI generative models for AWS WAF threat intelligence.
Comparative analysis of entrepreneurial leadership traits.
Oracle Grid Infrastructure security with GlusterFS and OpenVPN.
IEEE Conference Proceedings
Ensemble RF / LR / SVM model for AWS cloud firewall IP reputation.
Integration of NIST and MITRE ATT&CK frameworks for cloud vulnerability detection.
Dynamic IP randomization with ML; evaluated on UNSW-NB15, KDD’Cup99, NSL-KDD.
AI and NLP-driven dynamic signature generation for AWS WAF.
Global Conference for Multidisciplinary Research.
Books & Book Chapters
Contributing author on AI applications in cybersecurity.
Academic Service & Recognition
Teaching Experience
Skills, Certifications & Memberships
Python (expert), C#, Assembly, Shell/Bash (expert), SQL — applied to ML/AI, security tooling, automation and reverse engineering.
Security architecture, SOC, SIEM/EDR, Zero Trust and multi-cloud security across AWS, Azure and GCP.
ISO 27001, NIST, PCI DSS, GDPR, FedRAMP and MITRE ATT&CK.
Career Objectives
In security architecture: to architect next-generation security solutions that integrate cutting-edge ML/AI with proven frameworks — resilient, scalable and cost-effective defence systems.
In academia: to bridge the academia–industry gap with practical, research-driven curricula that prepare the next generation of security leaders, while contributing to the global body of cybersecurity knowledge.
Languages