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Sudip Mittal — most-cited papers & profile · Cybersecurity
← authors
·
overview
Sudip Mittal
24
papers ·
57
citations ·
0
h-index
University of Alabama
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Survey of Malware Analysis through Control Flow Graph using Machine Learning
2023 · 14 citations
Impacts and Risk of Generative AI Technology on Cyber Defense
2023 · 13 citations
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge
2024 · 6 citations
CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense
2023 · 5 citations
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
2022 · 4 citations
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
2024 · 4 citations
AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce
2023 · 3 citations
AI assisted Malware Analysis: A Course for Next Generation Cybersecurity Workforce
2020 · 2 citations
Towards Secure MLOps: Surveying Attacks, Mitigation Strategies, and Research Challenges
2025 · 1 citations
An Intrusion Response System utilizing Deep Q-Networks and System Partitions
2022 · 1 citations
Designing an Artificial Immune System inspired Intrusion Detection System
2022 · 1 citations
A White-Box Adversarial Attack Against a Digital Twin
2022 · 1 citations
Evaluating Open-Source LLMs for Multi-Label ATT&CK Technique Classification on CTI Reports
2026
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
2025
Creating an Explainable Intrusion Detection System Using Self Organizing Maps
2022
Top co-authors
Shahram Rahimi
· 9
Shaswata Mitra
· 7
Subash Neupane
· 7
William Anderson
· 5
Ioana Banicescu
· 4
Jesse Ables
· 4
Maria Seale
· 4
Aritran Piplai
· 3
Damodar Panigrahi
· 3
Ivan A. Fernandez
· 2
Thomas Kirby
· 2
Trisha Chakraborty
· 2
Topics
Threat Intelligence
Adversarial ML
Network Security
Anomaly Detection
Vulnerability Detection
LLM Security
Malware Detection
Privacy
Forensics