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Research Papers

This section contains our published research papers, technical reports, and academic contributions.

Recent Publications​

2024​

Machine Learning for Malware Detection​

Authors: NRELabs Research Team
Conference: IEEE Security & Privacy 2024
Abstract: This paper presents a novel approach to malware detection using ensemble learning techniques and behavioral analysis...

Download PDF | GitHub Repository

Zero-Day Vulnerability Prediction​

Authors: NRELabs Security Research Group
Journal: ACM Transactions on Information and System Security
Abstract: We introduce a predictive model for identifying potential zero-day vulnerabilities in open-source software...

Download PDF | Dataset

2023​

Automated Security Testing in CI/CD Pipelines​

Authors: NRELabs DevSecOps Team
Conference: USENIX Security 2023
Abstract: An comprehensive framework for integrating automated security testing into continuous integration and deployment workflows...

Download PDF | Implementation

Network Traffic Analysis for Threat Detection​

Authors: NRELabs Network Security Group
Journal: IEEE Transactions on Network and Service Management
Abstract: Real-time network traffic analysis using deep learning for advanced persistent threat detection...

Download PDF | Code Repository

Technical Reports​

White Papers​

The Future of AI in Cybersecurity​

Published: October 2024
An analysis of emerging AI technologies and their impact on cybersecurity practices and threat landscapes.

Read White Paper

Quantum Computing and Cryptography​

Published: August 2024
Exploring the implications of quantum computing on current cryptographic systems and post-quantum cryptography approaches.

Read White Paper

Supply Chain Security Best Practices​

Published: June 2024
Comprehensive guidelines for securing software supply chains in modern development environments.

Read White Paper

Technical Briefs​

Container Security Analysis​

Published: September 2024
Security considerations and best practices for containerized applications and orchestration platforms.

Read Brief

API Security in Microservices​

Published: July 2024
Securing microservice architectures through proper API design, authentication, and authorization mechanisms.

Read Brief

Research Areas​

Current Focus​

  1. AI-Powered Security

    • Machine learning for threat detection
    • Natural language processing for security analysis
    • Automated vulnerability discovery

  2. Systems Security

    • Operating system security mechanisms
    • Hardware security and trusted computing
    • Secure software development practices

  3. Network Security

    • Advanced persistent threat detection
    • Network traffic analysis
    • Secure communication protocols

  4. Applied Cryptography

    • Post-quantum cryptography
    • Privacy-preserving computations
    • Secure multi-party computation

Collaboration​

We actively collaborate with academic institutions, industry partners, and other research organizations. For research collaborations:

Data and Resources​

Datasets​

We maintain several public datasets for research purposes:

Tools and Frameworks​

Research tools and frameworks developed by our team:

Citation​

If you use our research in your work, please cite it appropriately. Example:

@inproceedings{nrelab2024malware,
  title={Machine Learning for Malware Detection},
  author={NRELabs Research Team},
  booktitle={IEEE Security \& Privacy},
  year={2024}
}

License​

Our research papers are published under appropriate licenses (usually CC BY-NC-SA for open access publications). Code and datasets are typically released under MIT or Apache 2.0 licenses.