A Survey of Cyber-Physical Attacks and Detection Methods in Smart Water Distribution Systems

Addeen, Hajar Hameed; Xiao, Yang; Li, Jiacheng; Guizani, Mohsen

doi:10.1109/access.2021.3095713

Cited by 30 publications

(17 citation statements)

References 40 publications

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“…The authors in [55] propose to handle this issue as an anomaly detection problem. Anomaly detection often adopts a data mining method that detects unusual data [73]. Therefore, the authors in [55] propose training a convolutional autoencoder on only benign URLs.…”

Section: B Unsupervised Learning Algorithmsmentioning

confidence: 99%

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

et al. 2023

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Phishing attacks are a type of cybercrime that has grown in recent years. It is part of social engineering attacks where an attacker deceives users by sending fake messages using social media platforms or emails. Phishing attacks steal users' information or download and install malicious software. They are hard to detect because attackers can design a phishing message that looks legitimate to a user. This message may contain a phishing URL so that even an expert can be a victim. This URL leads the victim to a fake website that steals information, such as login information, payment information, etc. Researchers and engineers work to develop methods to detect phishing attacks without the need for the eyes of experts. Even though many papers discuss HTML and URL-based phishing detection methods, there is no comprehensive survey to discuss these methods. Therefore, this paper comprehensively surveys HTML and URL phishing attacks and detection methods. We review the current state-of-art deep learning models to detect URL-based and hybrid-based phishing attacks in detail. We compare each model based on its data preprocessing, feature extraction, model design, and performance.

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Section: B Unsupervised Learning Algorithmsmentioning

confidence: 99%

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

et al. 2023

Self Cite

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“…Cyberattack mitigation in an ICS environment has been studied in [ 46 ]. The authors of [ 47 ] presented a review of cyber attacks and detection methods in water purification plants. The survey is based on general cyber attacks and common attack detection methods and it does not cover the latest research and incidents in water purification plants.…”

Section: Previous Surveysmentioning

confidence: 99%

“…Vulnerabilities can be due to physical elements such as reservoirs, valves, pipes, motors, PLCs, distillation, tankers, etc. There can be faults or errors in any physical element which may lead to losses [ 47 ].…”

Section: Vulnerabilities Challenges and Future Prospective In The Iio...mentioning

confidence: 99%

A Comprehensive Study on Cyber Attacks in Communication Networks in Water Purification and Distribution Plants: Challenges, Vulnerabilities, and Future Prospects

Aslam,

Tufail,

Kim

et al. 2023

Sensors

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In recent years, the Internet of Things (IoT) has had a big impact on both industry and academia. Its profound impact is particularly felt in the industrial sector, where the Industrial Internet of Things (IIoT), also known as Industry 4.0, is revolutionizing manufacturing and production through the fusion of cutting-edge technologies and network-embedded sensing devices. The IIoT revolutionizes several industries, including crucial ones such as oil and gas, water purification and distribution, energy, and chemicals, by integrating information technology (IT) with industrial control and automation systems. Water, a vital resource for life, is a symbol of the advancement of technology, yet knowledge of potential cyberattacks and their catastrophic effects on water treatment facilities is still insufficient. Even seemingly insignificant errors can have serious consequences, such as aberrant pH values or fluctuations in the concentration of hydrochloric acid (HCI) in water, which can result in fatalities or serious diseases. The water purification and distribution industry has been the target of numerous hostile cyber security attacks, some of which have been identified, revealed, and documented in this paper. Our goal is to understand the range of security threats that are present in this industry. Through the lens of IIoT, the survey provides a technical investigation that covers attack models, actual cases of cyber intrusions in the water sector, a range of security difficulties encountered, and preventative security solutions. We also explore upcoming perspectives, illuminating the predicted advancements and orientations in this dynamic subject. For industrial practitioners and aspiring scholars alike, our work is a useful, enlightening, and current resource. We want to promote a thorough grasp of the cybersecurity landscape in the water industry by combining key insights and igniting group efforts toward a safe and dependable digital future.

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“…Therefore, it is crucial to design and implement solutions to enhance WDS security by detecting and mitigating cyber-physical intrusions. Hajar Hammed Asseen et al [7] compare attacks and detection approaches with an emphasis on ideas, methodologies, evaluation findings, benefits, limitations, etc. In the expectation that this work may motivate additional WDS-related research, the authors propose a future research direction and identify fewer research efforts in this field.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Lightweight Attribute-Based Security Scheme for Fog-Enabled Cyber-Physical Systems

Lachure

Doriya

2022

Preprint

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A Cyber-Physical System (CPS) combines resources from both physical and cyberspace. A typical CPS system is like a Water Distribution System (WDS) composed of different sensors, actuators, logical programming controllers, and grid systems. Cloud computing provides on-demand computing services and data, but suffers from latency and security issues between devices. The devices in CPS are power-constrained and perform real-time operations; therefore, authentication of these devices is crucial for ensuring secure communication between the instruments and control room. The lightweight Elliptical Curve Cryptography (ECC) helps to provide authentication between the device and fog-enabled controller rooms. The proposed Hybrid Lightweight Attribute-Based Security Scheme helps to provide authentication and signature verification with significantly less computational and communication overhead. Thus, the model helps to save energy and works in real-time. The model is also tested with a different brain-pool curve list to determine which curve list performs better and faster.

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A Survey of Cyber-Physical Attacks and Detection Methods in Smart Water Distribution Systems

Cited by 30 publications

References 40 publications

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

A Comprehensive Study on Cyber Attacks in Communication Networks in Water Purification and Distribution Plants: Challenges, Vulnerabilities, and Future Prospects

Hybrid Lightweight Attribute-Based Security Scheme for Fog-Enabled Cyber-Physical Systems

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