6 citations · 21 across the 23 of their papers we have counts for
14 papers · 1 filter
Evaluating the NIST Bugs Framework Against CWE as a Successor for Automated Vulnerability Classification
Md Nazmul Hoque, Shaswata Mitra, Subash Neupane +2
Vulnerability classification based on root cause weaknesses is essential for numerous cybersecurity activities, where the Common Weakness Enumeration (CWE) serves as a public repos…
Agentra: A Supervisable Multi-Agent Framework for Enterprise Intrusion Response
Raj Patel, Shaswata Mitra, Michele Guida +3
Enterprise intrusion response still depends on static playbooks and analyst-driven triage, creating delay between alert generation and containment. We present Agentra, a supervisab…
Evaluating Open-Source LLMs for Multi-Label ATT&CK Technique Classification on CTI Reports
Ahmed Ryan, Saad Sakib Noor, Md Erfan +3
Classifying Cyber Threat Intelligence (CTI) using MITRE Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK) is essential for proactive defense, but historically required…
The Value of Spike Timing: A Leakage-Resistant Benchmark of SNN Design Choices for Network Intrusion Detection
Raj Patel, Shaswata Mitra, David Amebley +4
Spiking neural networks (SNNs) are increasingly studied for network intrusion detection, but comparative evidence on how neuron models and spike encodings affect performance remain…
AgenticCyOps: Securing Multi-Agentic AI Integration in Enterprise Cyber Operations
Shaswata Mitra, Raj Patel, Sudip Mittal +2
Multi-agent systems (MAS) powered by LLMs promise adaptive, reasoning-driven enterprise workflows, yet granting agents autonomous control over tools, memory, and communication intr…
IRSDA: An Agent-Orchestrated Framework for Enterprise Intrusion Response
Damodar Panigrahi, Raj Patel, Shaswata Mitra +2
Modern enterprise systems face escalating cyber threats that are increasingly dynamic, distributed, and multi-stage in nature. Traditional intrusion detection and response systems…
FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection
Shaswata Mitra, Subash Neupane, Martin Duclos +5
Signature-based Intrusion Detection Systems (IDS) detect malicious activity by matching network or host events against predefined rules. Security analysts manually develop these ru…
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
Ivan Montoya Sanchez, Shaswata Mitra, Aritran Piplai +1
The rapid evolution of malware variants requires robust classification methods to enhance cybersecurity. While Large Language Models (LLMs) offer potential for generating malware d…
IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber Defense
Damodar Panigrahi, Shaswata Mitra, Subash Neupane +2
Cyberattacks are becoming increasingly difficult to detect and prevent due to their sophistication. In response, Autonomous Intelligent Cyber-defense Agents (AICAs) are emerging as…
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra, Trisha Chakraborty, Subash Neupane +2
In an increasingly interconnected world, where information is the lifeblood of modern society, regular cyber-attacks sabotage the confidentiality, integrity, and availability of di…
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge
Shaswata Mitra, Subash Neupane, Trisha Chakraborty +4
Security Operations Center (SoC) analysts gather threat reports from openly accessible global threat repositories and tailor the information to their organization's needs, such as…
Survey of Malware Analysis through Control Flow Graph using Machine Learning
Shaswata Mitra, Stephen A. Torri, Sudip Mittal
Malware is a significant threat to the security of computer systems and networks which requires sophisticated techniques to analyze the behavior and functionality for detection. Tr…
CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense
Trisha Chakraborty, Shaswata Mitra, Sudip Mittal
Critical servers can be secured against distributed denial of service (DDoS) attacks using proof of work (PoW) systems assisted by an Artificial Intelligence (AI) that learns conte…
A Policy Driven AI-Assisted PoW Framework
Trisha Chakraborty, Shaswata Mitra, Sudip Mittal +1
Proof of Work (PoW) based cyberdefense systems require incoming network requests to expend effort solving an arbitrary mathematical puzzle. Current state of the art is unable to di…