Cover Image

Improving Discovery of Known Software Vulnerability For Enhanced Cybersecurity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sawant, Devesh, Hanawal, Manjesh K., Kabra, Atul
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cyber Warfare During Operation Sindoor: Malware Campaign Analysis and Detection Framework
by: Paliwal, Prakhar, et al.
Published: (2025)

Fingerprinting of Machines in Critical Systems for Integrity Monitoring and Verification
by: Paliwal, Prakhar, et al.
Published: (2024)

A Multi-Functional Web Tool for Comprehensive Threat Detection Through IP Address Analysis
by: Tanan, Cebajel, et al.
Published: (2024)

Beyond Metadata: Code-centric and Usage-based Analysis of Known Vulnerabilities in Open-source Software
by: Ponta, Serena E., et al.
Published: (2018)

Vulnerability Management Chaining: An Integrated Framework for Efficient Cybersecurity Risk Prioritization
by: Shimizu, Naoyuki, et al.
Published: (2025)

Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection
by: Pushkar, Chinmay, et al.
Published: (2025)

Cybersecurity Software Tool Evaluation Using a 'Perfect' Network Model
by: Straub, Jeremy
Published: (2024)

Boosting Cybersecurity Vulnerability Scanning based on LLM-supported Static Application Security Testing
by: Keltek, Mete, et al.
Published: (2024)

Enhancing Cybersecurity in Critical Infrastructure with LLM-Assisted Explainable IoT Systems
by: Ghimire, Ashutosh, et al.
Published: (2025)

Synthesizing Multi-Agent Harnesses for Vulnerability Discovery
by: Liu, Hanzhi, et al.
Published: (2026)

Agentic Discovery and Validation of Android App Vulnerabilities
by: Wang, Ziyue, et al.
Published: (2025)

Contextualizing Sink Knowledge for Java Vulnerability Discovery
by: Fleischer, Fabian, et al.
Published: (2026)

Fundamental Challenges in Cybersecurity and a Philosophy of Vulnerability-Guided Hardening
by: Böhme, Marcel
Published: (2024)

Consumer UAV Cybersecurity Vulnerability Assessment Using Fuzzing Tests
by: Rudo, David, et al.
Published: (2020)

Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications
by: Mia, Maraz, et al.
Published: (2025)

The Fault in Our Drafts: Vulnerabilities in RPKI Specification and Software
by: Jacobsen, Oliver, et al.
Published: (2026)

Security Vulnerabilities in Software Supply Chain for Autonomous Vehicles
by: Haque, Md Wasiul, et al.
Published: (2025)

ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models
by: Chopra, Shivansh, et al.
Published: (2024)

Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
by: Ferrag, Mohamed Amine, et al.
Published: (2024)

Establishing Minimum Elements for Effective Vulnerability Management in AI Software
by: Fazelnia, Mohamad, et al.
Published: (2024)

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management
by: Arifin, Asrul, et al.
Published: (2026)

Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence
by: Pelofske, Elijah, et al.
Published: (2023)

Generating Proof-of-Vulnerability Tests to Help Enhance the Security of Complex Software
by: Kanchi, Shravya, et al.
Published: (2026)

Cybersecurity AI: Evaluating Agentic Cybersecurity in Attack/Defense CTFs
by: Balassone, Francesco, et al.
Published: (2025)

A Relevance Model for Threat-Centric Ranking of Cybersecurity Vulnerabilities
by: McCoy, Corren, et al.
Published: (2024)

Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection
by: Guo, Yuejun, et al.
Published: (2024)

The Elephant in the Room: Software and Hardware Security Vulnerabilities of Portable Sequencing Devices
by: Stillman, Carson, et al.
Published: (2024)

When Machine Learning Meets Vulnerability Discovery: Challenges and Lessons Learned
by: Arasteh, Sima, et al.
Published: (2025)

PyPitfall: Dependency Chaos and Software Supply Chain Vulnerabilities in Python
by: Mahon, Jacob, et al.
Published: (2025)

Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation
by: Liu, Shangqing, et al.
Published: (2024)

Generative AI in Cybersecurity
by: Metta, Shivani, et al.
Published: (2024)

Cybersecurity as a Service
by: Morris, John, et al.
Published: (2024)

Space Cybersecurity Norms
by: Sharfman, Peter, et al.
Published: (2023)

What is Cybersecurity in Space?
by: Mattar, Charbel, et al.
Published: (2025)

Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities
by: Nong, Yu, et al.
Published: (2024)

QRS: A Rule-Synthesizing Neuro-Symbolic Triad for Autonomous Vulnerability Discovery
by: Tsigkourakos, George, et al.
Published: (2026)

Learning to Locate: GNN-Powered Vulnerability Path Discovery in Open Source Code
by: Atashin, Nima, et al.
Published: (2025)

Cybersecurity AI Benchmark (CAIBench): A Meta-Benchmark for Evaluating Cybersecurity AI Agents
by: Sanz-Gómez, María, et al.
Published: (2025)

Post-Quantum Cryptography
by: Pranjal, et al.
Published: (2024)

Software Vulnerability Analysis Across Programming Language and Program Representation Landscapes: A Survey
by: Qian, Zhuoyun, et al.
Published: (2025)