Alert Correlation for Cyber-Manufacturing Intrusion Detection

Author:

Wu Mingtao,Moon Young

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference37 articles.

1. "Assessing sustainability benefits of cybermanufacturing systems";Song;Int. J. Adv. Manuf. Technol.,2016

2. "Snort: Lightweight Intrusion Detection for Networks";Roesch;LISA ‘99 13th Syst. Adm. Conf.,1999

3. "Intrusion Detection Tools and Techniques –A Survey";Karthikeyan;Int. J. Comput. Theory Eng.,2010

4. "Stuxnet: Dissecting a cyberwarfare weapon";Langner;IEEE Secur. Priv.,2011

5. "KCAD: Kinetic Cyber-Attack Detection Method for Cyber-Physical Additive Manufacturing Systems";Chhetri;Proc. 35th Int. Conf. Comput. Des. - ICCAD ‘16,2016

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1. CAPTURE: Efficient Attack Investigation Through Causal Alert Correlation Analysis;Communications in Computer and Information Science;2024

2. Framework for enhancing the operational resilience of cyber-manufacturing systems against cyber-attacks;Manufacturing Letters;2023-08

3. Security Threats in AM;Springer Handbook of Additive Manufacturing;2023

4. State of Security Awareness in the Additive Manufacturing Industry: 2020 Survey;Progress in Additive Manufacturing 2021;2022-12-01

5. PCAM: A Data-driven Probabilistic Cyber-alert Management Framework;ACM Transactions on Internet Technology;2022-01-22

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