A Review on Cyber Physical System Attacks: Issues and Challenges

Singh, Sunil; Yadav, Neha; Chuarasia, Pawan Kumar

doi:10.1109/iccsp48568.2020.9182452

Cited by 9 publications

(8 citation statements)

References 31 publications

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“…CPS are vulnerable to cyber-attacks, and taking measures to protect them is important. According to an article by IEEE, here are some countermeasures that can be taken to protect CPS from cyber-attacks (Singh et al ., 2020):Risk assessment: Conduct a risk assessment to identify potential vulnerabilities and threats.Access control: Implement access controls to limit critical systems and data access.Encryption: Use encryption to protect sensitive data in transit and at rest.Intrusion detection: Deploy intrusion detection systems to detect and respond to cyber-attacks.Patch management: Keep software and firmware up to date with the latest security patches.Physical security: Implement security measures to prevent unauthorized access to critical systems.Training: Provide training for employees on cybersecurity best practices.…”

Section: Discussionmentioning

confidence: 99%

“…This plan should include procedures for detecting, containing and mitigating the effects of an attack. It is also important to note that the effectiveness of these countermeasures depends on the specific CPS being protected, and it may be necessary to implement additional measures based on the system's unique characteristics (Singh et al ., 2020).…”

Section: Discussionmentioning

confidence: 99%

Section: Cyber Insurance Risk Analysismentioning

confidence: 99%

“…If we are looking to CPS, according to an article by IEEE, the most important countermeasure that can be taken to protect CPS from cyber-attacks (Singh et al ., 2020) is risk assessment (Singh et al ., 2020). Do undertakers require the same assessment to conduct a risk assessment to identify potential vulnerabilities and threats, assess the likelihood of an attack and evaluate the potential impact?…”

Section: Literature Reviewmentioning

confidence: 99%

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Cyber insurance risk analysis framework considerations

Rangu,

Badea,

Scheau

et al. 2024

JRF

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PurposeIn recent years, the frequency and severity of cybersecurity incidents have prompted customers to seek out specialized insurance products. However, this has also presented insurers with operational challenges and increased costs. The assessment of risks for health systems and cyber–physical systems (CPS) necessitates a heightened degree of attention. The significant values of potential damages and claims request a solid insurance system, part of cyber-resilience. This research paper focuses on the emerging cyber insurance market that is currently in the process of standardizing and improving its risk analysis concerning the potential insured entity.Design/methodology/approachThe authors' approach involves a quantitative analysis utilizing a Likert-style questionnaire designed to survey cyber insurance professionals. The authors' aim is to identify the current methods used in gathering information from potential clients, as well as the manner in which this information is analyzed by the insurers. Additionally, the authors gather insights on potential improvements that could be made to this process.FindingsThe study the authors elaborated it has a particularly important cyber and risk components for insurance area, because it addresses a “niche” area not yet proper addressed in specialized literature – cyber insurance. Cyber risk management approaches are not uniform at the international level, nor at the insurer level. Also, not all insurers can perform solid assessments, especially since their companies should first prove that they are fully compliant with international cyber security standards.Research limitations/implicationsThis research has concentrated on analyzing the current practices in terms of gathering information about the insured entity before issuing the cyber insurance policy, level of details concerning the cyber security posture of the insured entity and way such information should be analyzed in a standardized and useful manner. The novelty of this research resides in the analysis performed as detailed above and the proposals in terms of information gathered, depth of analysis and standardization of approach made. Future work on the topic can focus on the standardization process for analyzing cyber risk for insurance clients, to improve the proposal based also on historical elements and trends in the market. Thus, future research can further refine the standardization process to analyze in more depth the way this can be implemented and included in relevant legislation at the EU level.Practical implicationsProposed improvements include proposals in terms of the level of detail and the usefulness of an independent centralized approach for information gathering and analysis, especially given the re-insurance and brokerage activities. The authors also propose a common practical procedural approach in risk management, with the involvement of insurance companies and certification institutions of cyber security auditors.Originality/valueThe study investigates the information gathered by insurers from potential clients of cyber insurance and the way this is analyzed and updated for issuance of the insurance policy.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Cyber Insurance Risk Analysismentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Cyber insurance risk analysis framework considerations

Rangu,

Badea,

Scheau

et al. 2024

JRF

View full text Add to dashboard Cite

show abstract

“…With the rapid evolution of wireless communication networks, more and more CPS subsystems are built and connected through the communication networks, which enables more and more devices to link to CPS. However, the extensive utilization of devices with security vulnerabilities and unprotected communication networks makes CPS more prone to malicious cyber attacks and intrusions [1] (see Figure 1). These cyber threats, if they cannot be detected quickly and adjust the proper response strategy, will lead to grave consequences such as equipment damage, financial losses, and public safety.…”

Section: Introductionmentioning

confidence: 99%

Privacy-Enhanced Intrusion Detection and Defense for Cyber-Physical Systems: A Deep Reinforcement Learning Approach

Lin

Ming

Zhang

et al. 2022

Security and Communication Networks

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Cyber-physical systems (CPSs) will play an important role in future real-world applications through the deep integration of computing, communication, and control technologies. CPSs are increasingly deployed in critical infrastructure, industry, and homes to achieve a smart grid, smart transportation, and smart healthcare and to bring many benefits to citizens, businesses, and governments. However, the openness and complexity brought by network and wireless communication technology, as well as the intelligence and dynamic of network intrusions make CPS more vulnerable to network intrusions and bring more serious threats to human life, enterprise productivity, and national security. Therefore, intrusion detection and defense in CPS have attracted considerable attention and have become a fundamental aspect of CPS security. However, a new challenging problem arises: how to improve the efficiency and accuracy of intrusion detection while protecting user privacy during the intrusion detection process. To address this challenge, we propose a deep reinforcement learning-based privacy-enhanced intrusion detection and defense mechanism (PIDD) for CPS. The PIDD is composed of three modules: privacy-enhanced topology graphs generation module, graph convolutional networks-based user evaluation module, and the deep reinforcement learning-based intruder identification and handling module. The experimental results show that the proposed PIDD achieves excellent performance in intrusion detection accuracy, intrusion defense percentage, and privacy protection.

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Cost-Effective Detection of Cyber Physical System Attacks

Sarmah

Bhattacharyya

2022

Advances in Machine Learning for Big Data Analysis

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A Review on Cyber Physical System Attacks: Issues and Challenges

Cited by 9 publications

References 31 publications

Cyber insurance risk analysis framework considerations

Cyber insurance risk analysis framework considerations

Privacy-Enhanced Intrusion Detection and Defense for Cyber-Physical Systems: A Deep Reinforcement Learning Approach

Cost-Effective Detection of Cyber Physical System Attacks

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