I am a Computer Science undergraduate focusing on cybersecurity, AI assisted threat detection, digital forensics, and security research.
My current work explores threat detection, digital evidence, provenance-based security, cloud security, and reproducible cybersecurity research.
- AI Enabled Cybersecurity & Threat Detection
- Digital & Network Forensics
- Digital Evidence Provenance & Integrity
- Cybercrime Investigation
- AI Generated Abuse & Synthetic Media Detection
- Human Centred & Privacy Preserving Security
- Advanced Persistent Threat (APT) Detection
- Reproducible Security Evaluation
I am particularly interested in developing cybersecurity and AI systems that can support safer digital environments, stronger digital investigations, and evidence-based responses to emerging cybercrime.
- Security research & reproducible evaluation
- Digital forensics and APT investigation
- AI-assisted network anomaly detection
- Cloud security and governance
- Digital evidence and provenance
- Open-source security engineering
I aim to explore the intersection of AI, cybersecurity, digital forensics, and technology facilitated cybercrime, with a long term interest in developing practical security and investigative solutions for vulnerable communities.
Preprint / Technical Report [submitted for peer review] —> 2026
A proposed evaluation protocol and unified scoring framework for provenance based security tools, focusing on reproducibility and comparable evaluation of APT detection approaches.
Topics: APT Detection · Provenance · Reproducibility · Security Evaluation
A web based digital twin for exploring cloud governance, security policies, cost estimation, threat detection, and remediation.
Focus: Cloud Security · FinOps · Security Governance · AI
An AI assisted SOC environment with threat scoring, MITRE ATT&CK mapping, real time events, and a reproducible 9-scenario benchmark suite.
Focus: SOC · Threat Detection · MITRE ATT&CK · Security Automation
A network intrusion detection project using Isolation Forest to identify anomalous traffic and present risk based investigation results.
Focus: Machine Learning · NIDS · Anomaly Detection · Python
A simulated APT investigation combining Autopsy, Volatility 3, Windows event logs, IOC analysis, evidence correlation, and MITRE ATT&CK mapping.
Focus: Digital Forensics · Incident Response · APT Investigation
A network focused investigation environment for examining suspicious traffic and APT related activity through network analysis and detection tooling.
Focus: Network Forensics · Wireshark · Zeek · Suricata
A practical cloud security lab covering IAM, VPC, security groups, firewall controls, logging, monitoring, and backup.
Focus: Cloud Security · IAM · Defensive Security
Contributed an upstream detection rule for repeated local PAM authentication failures, addressing repeated authentication attempts where a source IP may not be available.
Pull Request: Wazuh PR #38270
Security:
Wazuh · MITRE ATT&CK · Digital Forensics · Incident Response · Network Security · Cloud Security
Security Tools:
Autopsy · Volatility 3 · Wireshark · Zeek · Suricata
Programming & Development:
Python · Flask · React · JavaScript · SQL · Git
Data & AI:
Pandas · Scikit-learn · Isolation Forest · Anomaly Detection
- Google Cybersecurity Professional Certificate -> completed all 9 courses
- Huawei HCIA-Security V4.0 —> course completion
- TryHackMe SOC Level 2 —> practical SOC training
- Security Operations & Detection Engineering
- Advanced Network Traffic Analysis
- Digital Forensics & Incident Response
- AI applications in cybersecurity
Just a curious learner. :)