Don’t search any further, take a moment and look at this awesome list of cyber security papers. All of them are waiting to be read, and the best part, they are all free.
Cyber security papers
The listed papers have a focus on cyber security and machine learning. Most of the books can be found directly on Github, and it is also for that reason, that most of the listed items are linking towards Github.
Here is the list of various cyber security papers that are included in the sources provided:
- Machine Learning for Cyber Defense and Attack
- Applications of Machine Learning in Cyber Security
- A Study of Cyber Security using Machine Learning Techniques
- Cyber Attack Detection thanks to Machine Learning Algorithms
- Machine Learning and Cyber Security
- eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys
- Machine Learning DDoS Detection for Consumer Internet of Things Devices
- Detecting Malicious PowerShell Commands using Deep Neural Networks
- EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
- Practical Secure Aggregation for Privacy-Preserving Machine Learning
- Artificial Intelligence Applications in Cybersecurity
- On the Effectiveness of Machine and Deep Learning for Cyber Security
- Anagram: A Content Anomaly Detector Resistant to Mimicry Attack
- CAMP: Content-Agnostic Malware Protection
- Machine Learning: A Threat-Hunting Reality Check
- Practical Machine Learning in Infosec
- EXPOSURE: Finding Malicious Domains Using Passive DNS Analysis
- From Throw-Away Traffic to Bots: Detecting the Rise of DGA-Based Malware
- Detecting Malware Domains at the Upper DNS Hierarchy
- 4 Ways Machine Learning Is Powering Smarter Threat Intelligence
- Nazca: Detecting Malware Distribution in Large-Scale Networks
- Building a Dynamic Reputation System for DNS
- Outside the Closed World: On Using Machine Learning For Network Intrusion Detection
- DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning
- Anomalous Payload-based Network Intrusion Detection
- Polonium: Tera-Scale Graph Mining for Malware Detection
- A Survey On Machine Learning For Cyber Security
- Machine Learning for Cyber Security using Big Data Analytics
- Dimension Reduction in Network Attacks Detection Systems
- Machine Learning Algorithms in Cyber Security
- SoK: Security and Privacy in Machine Learning
- Toward AI Security: Global Aspirations for a More Resilient Future
- A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
- Generations of Machine Learning in Cybersecurity
- Automation and Analytics versus the Chaos of Cybersecurity Operations
- A survey of cyber security operations based on Machine learning and Deep learning
- The Impact of Artificial Intelligence on Security: a Dual Perspective
- Machine Learning in the Age of Cyber AI: A Review of Machine Learning Approaches for Cyber Security and Darktrace’s Underlying Technology
- Artificial Intelligence
- Intelligent Security Measures for Smart Cyber-Physical Systems
- Machine Learning in Vulnerability Assessment
- Customizing Machine Learning to Combat Cyberattacks
- A Review of the Advances in Cyber Security Benchmark Datasets for Evaluating Data-Driven based Intrusion Detection Systems
- Is Machine Learning Cybersecurity’s Silver Bullet?
- Cyber Security in the Energy Sector
- Cybersecurity Research: Challenges and Course of Action
- IOT Security and the Role of AI/ML to Combat Emerging Cyber Threats in Cloud Computing Environment
- Feasibility of Supervised Machine Learning for Cloud Security
- Bitcoin Concepts, Threats, and Machine-Learning Security Solutions
- Optimal Machine Learning Algorithms for Cyber Threat Detection
- Securing the Internet of Things in the Age of Machine Learning and Software-defined Networking
- Security Gets Smart with AI
- The Future of Cybersecurity in Asia Pacific and Japan – Culture, Efficiency, Awareness
- The Benefits of Artificial Intelligence in Cybersecurity
- Valuing Cybersecurity Research Datasets
- Deep Reinforcement Learning for Cyber Security
- Machine learning-based adaptive intelligence: The future of cybersecurity
- Report on AI and IoT in Security Aspects
The papers can be found here:
- https://github.com/Ma3k4H3d/Papers
- https://github.com/kdemertzis/Cyber-Security-Datasets
- https://github.com/manjunath5496/ML-for-Cyber-Security-Papers
- https://github.com/manjunath5496/Cyber-Security-ML-Papers
- https://github.com/juliocesarfort/natsec-cyberops-papers
- https://github.com/ruxiz2020/cyber-security-reading
Enjoy!