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Showing 1 to 6 of 6 for “"attacker and defender"”.

  1. A Measurement Approach to Understanding the Data Flow of Phishing From Attacker and Defender Perspectives

    … due to its active roles in recent data breaches and state- sponsored attacks. While existing works have extensively analyzed phishing websites and detection methods, there is still a limited understanding of the data flow of the phishing process. In this thesis, we perform an empirical …

    vt Repository record for A Measurement Approach to Understanding the Data Flow of Phishing From Attacker and Defender Perspectives (opens in a new tab)

  2. Reinforcement Learning of Distributed Surveillance Plans

    <p>This thesis describes the design and implementation of a Reinforcement Learning algorithm on a camera surveillance model which is used to know the stackelberg strategies of attacker and defender. This reinforcement learning algorithm is compared with the uniform policy and hill climbing …

    usm Repository record for Reinforcement Learning of Distributed Surveillance Plans (opens in a new tab)

  3. Analyzing Multi-Agent Reinforcement Learning and Coevolution in Cybersecurity Simulations

    … work modeling the competition between an attacker and defender on a network architecture in a zero-sum game using a graph database linking cybersecurity attack patterns, vulnerabilities, and software. To support these simulations, we introduce a data-driven approach to generate enterprise …

    mit Repository record for Analyzing Multi-Agent Reinforcement Learning and Coevolution in Cybersecurity Simulations (opens in a new tab)

  4. Solving Cyber-Alert Allocation Markov Games with Deep Reinforcement Learning

    … (e.g., servers, routers, etc.) that monitor and flag suspicious or abnormal activity. When possibly malicious activity is detected, one or more cyber-alerts may be generated with varying levels of significance (e.g., high, medium, or low). Some subset of these alerts may then be assigned to …

    texas-state Repository record for Solving Cyber-Alert Allocation Markov Games with Deep Reinforcement Learning (opens in a new tab)

  5. Security of Lightweight Cryptographic Primitives

    … issue with the rise of cryptographic backdoors and hackers reverse engineering the security protocols within devices to reveal the original state that was encrypted. Security researchers have done much work to prevent attacks with high power algorithms, such as the international effort to …

    vt Repository record for Security of Lightweight Cryptographic Primitives (opens in a new tab)

  6. Practical Exploit Mitigation Design Against Code Re-Use and System Call Abuse Attacks

    … so, few have been adopted by the general public and deployed in production. This limited defense deployment and weak security has serious consequences, as large scale cyber-attacks are now a common occurrence in society. One major obstacle that stands in the way is practicality, the quality of …

    vt Repository record for Practical Exploit Mitigation Design Against Code Re-Use and System Call Abuse Attacks (opens in a new tab)