Latest Research in Advanced Malware Detection Techniques

Top Research Topics in Advanced Malware Detection Techniques

• Cryptography and Security — 47 papers
• Software Engineering — 16 papers
• Advanced Malware Detection Techniques — 6 papers
• Blockchain Technology Applications and Security — 5 papers
• Adversarial Robustness in Machine Learning — 5 papers
• Security and Verification in Computing — 5 papers
• Network Security and Intrusion Detection — 4 papers
• Software System Performance and Reliability — 3 papers
• Information Retrieval — 3 papers
• Artificial Intelligence — 2 papers

Highest-Cited Papers

1. CloudSentinel: An AI-Assisted Cloud Misconfiguration Detection and Remediation Framework for Resource-Constrained Engineering Teams
2. TREM: A Trust‐Aware Coalition Risk Estimation Model for Multi‐Cloud Environments
3. Trust, but Validate the Instrument: Auditing AI-Generated RTL Verification Plans on Authored Security-Regression Proxies
4. No-Box Vulnerability Analysis: Description-only Detection of Indirect Prompt Injection Vulnerabilities in MCP Servers
5. PentestChain: A Cost-Aware, MCP-Orchestrated Framework for Automated Penetration Testing with Free-Tier LLMs
6. A Security Risk Assessment Framework for AI-Powered Development Tools
7. CASHEWS: Source Preprocessor for LLM-based Malicious Package Detection
8. From Component Snapshots to Lifecycle Traces: Agent-Based Software Composition Analysis
9. (A)iSpy: Parasitic Trojans for Machine Learning Infrastructure
10. An Exploratory Study of Dependabot Cooldown Adoption in Open-Source GitHub Projects
11. A Unified Framework for Function-Level Vulnerability Detection and Explanation in Smart Contracts
12. GANADI: Uncovering C/C++ OSS Reuse Genealogies via Pivotal Function-Based Clustering to Enhance Supply Chain Security
13. SEMA-GUARD: Semantic and Graph-Based Vulnerability Detection in Assembly Code
14. CARE: A Responsibility-Oriented Architecture for Domain-Scoped Resolution in Modular and Upgradeable Smart Contracts
15. Evaluating the NIST Bugs Framework Against CWE as a Successor for Automated Vulnerability Classification
16. DualView: Preventing Indirect Prompt Injection in Personal AI Agents
17. Malicious Code Detection Based on AST Multidimensional Feature Fusion and Dynamic Graph Optimization
18. A Systematic Survey of Smart Contract Fuzzing: Methods, Techniques, and Architectures for Ethereum and Beyond
19. Comparative evaluation of active learning, random sampling, and deep learning for smart contract vulnerability detection
20. Semantic-TVM: Structure-Preserving Trustworthy Virtual Memory for Memory-Augmented and Tool-Using Agents