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Gather Android application information on Google Play for machine learning based security analysis

RESEARCH CREW
18:50 13/12/2021
TIN LIÊN QUAN
Investigating on the Robustness of Flow-based Intrusion Detection System against Adversarial Samples using Generative Adversarial Networks  
Leveraging Deep Reinforcement Learning for Automating Penetration Testing in Reconnaissance and Exploitation Phase
Penetration testing is one of the most common methods for assessing the security of a system, application, or network. Although there are different support tools with great efficiency in this field, penetration testing is done mostly manually and relies heavily on the experience of the ethical hackers who are doing...
A federated threat hunting system with big data analysis for SDN-enabled networks
Software-defined networking (SDN) is a potential approach for modern network architecture, which has received great attention recently. SDN-based networks also face security issues, and they can become targets of cyberattacks. Cyber threat hunting is one of the security solutions proposed for early attack detection in SDN. Developing machine learning-based IDS...