@inproceedings{0dfa3f9237794c56a1c388d5c2207a0b,
title = "Temporal pattern-based malicious activity detection in SCADA systems",
abstract = "Supervisory Control and Data Acquisition (SCADA) is a system which is used to monitor and control various industrial and infrastructure systems, such as power plants, water disposal and distribution, and other systems which are crucial for our modern way of life.",
keywords = "Cyber-security, SCADA, Temporal pattern recognition",
author = "Meir Kalech and Amit Shlomo and Robert Moskovitch",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019 ; Conference date: 27-06-2019 Through 28-06-2019",
year = "2019",
month = may,
day = "19",
doi = "10.1007/978-3-030-20951-3_26",
language = "English",
isbn = "9783030209506",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "316--319",
editor = "Shlomi Dolev and Danny Hendler and Sachin Lodha and Moti Yung",
booktitle = "Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings",
address = "Germany",
}