Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation
Gradual increase in the number of successful attacks against Industrial Control Systems
(ICS) has led to an urgent need to create defense mechanisms for accurate and timely …
(ICS) has led to an urgent need to create defense mechanisms for accurate and timely …
工业物联网异常检测技术综述
孙海丽， 龙翔， 韩兰胜， 黄炎， 李清波 - 通信学报, 2022 - infocomm-journal.com
针对不同的异常检测方法的差异及应用于工业物联网(IIoT) 安全防护的适用性问题,
从技术原理出发, 调研分析2000—2021 年发表的关于网络异常检测的论文 …
从技术原理出发, 调研分析2000—2021 年发表的关于网络异常检测的论文 …
IPAL: breaking up silos of protocol-dependent and domain-specific industrial intrusion detection systems
The increasing interconnection of industrial networks exposes them to an ever-growing risk
of cyber attacks. To reveal such attacks early and prevent any damage, industrial intrusion …
of cyber attacks. To reveal such attacks early and prevent any damage, industrial intrusion …
Digital twin-based intrusion detection for industrial control systems
Digital twins have recently gained significant interest in simulation, optimization, and
predictive maintenance of Industrial Control Systems (ICS). Recent studies discuss the …
predictive maintenance of Industrial Control Systems (ICS). Recent studies discuss the …
PLCPrint: fingerprinting memory attacks in programmable logic controllers
MM Cook, AK Marnerides… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Programmable Logic Controllers (PLCs) constitute the functioning basis of Industrial Control
Systems (ICS) and hence are often a focal point for attackers to exploit. Previous attacks …
Systems (ICS) and hence are often a focal point for attackers to exploit. Previous attacks …
Permutation entropy based detection scheme of replay attacks in industrial cyber-physical systems
M Zhou, Z Zhang, L Xie - Journal of the Franklin Institute, 2021 - Elsevier
Although data integrity attack detections are critical to cyber-physical systems (CPSs), replay
attack detection in industrial CPSs, especially data-based detection methods against replay …
attack detection in industrial CPSs, especially data-based detection methods against replay …
Multilevel fine fingerprint authentication method for key operating equipment identification in cyber-physical systems
L Yang, C Wen, T Wen - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
The key equipment in a cyber-physical system (CPS) can be changed or replaced by
untrusted equipment, which causes the system to make incorrect decisions, which threatens …
untrusted equipment, which causes the system to make incorrect decisions, which threatens …
Deepnoise: Learning sensor and process noise to detect data integrity attacks in CPS
Cyber-physical systems (CPS) have been widely deployed in critical infrastructures and are
vulnerable to various attacks. Data integrity attacks manipulate sensor measurements and …
vulnerable to various attacks. Data integrity attacks manipulate sensor measurements and …
Scanning the cycle: Timing-based authentication on PLCs
Programmable Logic Controllers (PLCs) are a core component of an Industrial Control
System (ICS). However, if a PLC is compromised or the commands sent across a network …
System (ICS). However, if a PLC is compromised or the commands sent across a network …
Machine learning for cps security: applications, challenges and recommendations
C Mujeeb Ahmed, MA Umer… - … Intelligence and Big …, 2021 - Springer
Abstract Machine Learning (ML) based approaches are becoming increasingly common for
securing critical Cyber Physical Systems (CPS), such as electric power grid and water …
securing critical Cyber Physical Systems (CPS), such as electric power grid and water …