Mabunda, HDRamotsoela, DTAbu-Mahfouz, Adnan MI2022-11-062022-11-062022-06Mabunda, H., Ramotsoela, D. & Abu-Mahfouz, A.M. 2022. Intrusion detection in water distribution systems using machine learning techniques: A survey. http://hdl.handle.net/10204/12512 .978-1-6654-8240-0978-1-6654-8239-4978-1-6654-8241-7DOI: 10.1109/ISIE51582.2022.9831687http://hdl.handle.net/10204/12512Water distribution systems (WDS) are designed to supply potable water to businesses, industries and people in any area or location. Cyber-Physical systems (CPS) are used in water distribution systems and come with aided benefits, however, these systems are exposed to intruders who attack these systems for their own personal gain or to sabotage the system. There are a number of different techniques which are available to stop intruders from penetrating these systems and this paper discussed different machine learning techniques that can detect anomalies and as a result stop any potential intrusion.AbstractenCyber-physical systemsMachine learningWater distribution systemsConference PresentationMabunda, H., Ramotsoela, D., & Abu-Mahfouz, A. M. (2022). Intrusion detection in water distribution systems using machine learning techniques: A survey. http://hdl.handle.net/10204/12512Mabunda, HD, DT Ramotsoela, and Adnan MI Abu-Mahfouz. "Intrusion detection in water distribution systems using machine learning techniques: A survey." <i>2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), Anchorage, Alaska, USA, 1-3 June 2022</i> (2022): http://hdl.handle.net/10204/12512Mabunda H, Ramotsoela D, Abu-Mahfouz AM, Intrusion detection in water distribution systems using machine learning techniques: A survey; 2022. http://hdl.handle.net/10204/12512 .TY - Conference Presentation AU - Mabunda, HD AU - Ramotsoela, DT AU - Abu-Mahfouz, Adnan MI AB - Water distribution systems (WDS) are designed to supply potable water to businesses, industries and people in any area or location. Cyber-Physical systems (CPS) are used in water distribution systems and come with aided benefits, however, these systems are exposed to intruders who attack these systems for their own personal gain or to sabotage the system. There are a number of different techniques which are available to stop intruders from penetrating these systems and this paper discussed different machine learning techniques that can detect anomalies and as a result stop any potential intrusion. DA - 2022-06 DB - ResearchSpace DP - CSIR J1 - 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), Anchorage, Alaska, USA, 1-3 June 2022 KW - Cyber-physical systems KW - Machine learning KW - Water distribution systems LK - https://researchspace.csir.co.za PY - 2022 SM - 978-1-6654-8240-0 SM - 978-1-6654-8239-4 SM - 978-1-6654-8241-7 T1 - Intrusion detection in water distribution systems using machine learning techniques: A survey TI - Intrusion detection in water distribution systems using machine learning techniques: A survey UR - http://hdl.handle.net/10204/12512 ER -26025