Manish Tripathy usualdork

🛡️ Professional Contributions

🎯 OWASP Maritime Security

Sep 2025 – Present

Contributing to OWASP Foundation's maritime cybersecurity initiatives. Developed comprehensive vulnerability analysis framework, risk scoring tools, and threat intelligence databases for OWASP Maritime Security Top 10. Supporting global security standards through open-source collaboration.

🔍 IEEE Reviewer

Apr 2025 - Present

Science and Technology

Contribute to the evaluation of AI/ML research papers for IEEE INDISCON conference.

📚 Research Publications & Technical Papers

🔬 Featured Research Papers

🔍 An Enhanced Framework for Surveillance: Integrating OSINT, SOCMINT, AI-Driven Analysis & Digital HUMINT Against Terrorism and Exploitation Networks

Publisher: IEEE This paper proposes an advanced surveillance framework combining OSINT, SOCMINT, AI-driven analysis, and digital HUMINT for law enforcement.

💣 Unified Cyber Attack Vectors: OSINT, Reconnaissance, and Social Engineering

Publisher: Taylor & Francis

This paper explores how combining OSINT, reconnaissance, and social engineering enhances cyber attacks. Experiments show this integrated approach boosts phishing success by 135% and speeds up intelligence gathering by 40%.

🧠 Zero-Shot Learning for Face Recognition in Cyber Security

Publisher: Springer

The paper proposes a Zero-Shot Learning (ZSL) approach for face recognition in cybersecurity, enabling accurate recognition of unseen classes with limited data. Using semantic attributes from LFW, the ZSL model outperforms traditional methods.

🤖 Deep Learning Based Face Recognition with Modified MTCNN and FaceNet

Publisher: Taylor & Francis

The paper proposes an advanced face recognition system combining Modified MTCNN and FaceNet. Tested on three benchmark datasets: LFW, Political Faces, and Celebrity Faces, achieving 94.4% accuracy on the LFW dataset.

📖 Additional Research & Technical Contributions

⚔️ Strategic Information Confrontation Through Persistent Digital Surveillance

Publisher: IEEE

Published at ICADS-26 (co-hosted with the Indian Army Air Defence College🎖️and IEEE), this paper introduces the Strategic Persistent Intelligence Confrontation (SPIC) framework: a military-grade, intelligence-warfare architecture.

🎯 Attention-Enhanced MTCNN for Strategic Face Detection

Publisher: IEEE

This paper presents a hardening of face detection for environments where cooperation, clarity, and control cannot be assumed. Rather than refining MTCNN at the surface level, this work restructures the entire detection cascade to operate under surveillance-grade conditions.

💰 AI-Driven Security Analytics for Zero-Footprint Due Diligence

Publisher: ICEVB-2025 Conference Proceedings

This research integrates AI, OSINT, and cybersecurity analytics to enable secure, automated profiling of rural entrepreneurs with no digital footprint.