ARCADES: analysis of risk from cyberattack against defensive strategies for the power grid

Touhiduzzaman,; Hahn, Adam; Srivastava, Anurag K.

doi:10.1049/iet-cps.2017.0118

Cited by 15 publications

(5 citation statements)

References 25 publications

(38 reference statements)

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“…Identity theft manifests in the form of tax and credit card frauds, business/personal loan theft, miscellaneous actions, and access to government benefits [18]. Firewall strives to prevent such crimes by alerting users that a different person might be accessing their information at a different location [19].…”

Section: Related Workmentioning

confidence: 99%

Effectiveness of Forensic Firewall in Protection of Devices from Cyberattacks

Fakiha¹

2022

IJSSE

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Computers and networks serve a host of functions. As they provide the much-needed services, unscrupulous parties also make work difficult by promoting cyberattacks that could lead to sensitive data loss and inability to access a personal computer. The submission explores the use of firewalls in protecting users against network-driven attacks. Firewalls intercept malware attacks, phishing, and identity theft by denying access to certain suspicious sites. However, users must realize that some hardware firewalls cannot protect them from certain web attacks and software firewalls that are in-built fail to detect malicious attacks on some occasions. Therefore, some entities are forced to incorporate both hardware and software to get the desired level of protection. Using an experimental research method, the study explores the effectiveness of firewall protection by presenting more gains that demerits.

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Section: Related Workmentioning

confidence: 99%

Effectiveness of Forensic Firewall in Protection of Devices from Cyberattacks

Fakiha¹

2022

IJSSE

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“…As such, an attack on more utilized SCADA controlled devices can create more physical damage. Damage is defined as [20]:…”

Section: Host Scanning and Criticality Calculationmentioning

confidence: 99%

Criticality based Optimal Cyber Defense Remediation in Energy Delivery Systems

Hasan¹,

Shetty²,

Ullah³

et al. 2021

ICST Transactions on Security and Safety

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A prioritized cyber defense remediation plan is critical for effective risk management in Energy Delivery System (EDS). Due to the complexity of EDS in terms of heterogeneous nature blending Information Technology (IT) and Operation Technology (OT) and Industrial Control System (ICS), scale and critical processes tasks, prioritized remediations should be applied gradually to protect critical assets. In this work, we propose a methodology for a prioritized cyber risk remediation plan by detecting and evaluating paths to critical nodes in EDS. We propose critical nodes characteristics evaluation based on nodes' architectural positions, a measure of centrality based on nodes' connectivity and frequency of network traffic, as well as the controlled amount of physical loads. The paper also examines the relationship between cost models of budget allocation for the removal of vulnerabilities on critical nodes and its impact on gradual readiness.

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“…Such structured attacks can lead to cascading failures in the system. Therefore, the tight cyber-physical coupling is necessary to extend power system security into both cyber and physical attacks [175][176][177][178]. Integration of big data analytics provides an excellent opportunity to timely identify such malicious attacks and prevent the system from huge damages.…”

Section: Applications To Cyber-physical Systemsmentioning

confidence: 99%

Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions

et al. 2019

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Big data has potential to unlock novel groundbreaking opportunities in power grid that enhances a multitude of technical, social, and economic gains. As power grid technologies evolve in conjunction with measurement and communication technologies, this results in unprecedented amount of heterogeneous big data. In particular, computational complexity, data security, and operational integration of big data into power system planning and operational frameworks are the key challenges to transform the heterogeneous large dataset into actionable outcomes. In this context, suitable big data analytics combined with visualization can lead to better situational awareness and predictive decisions. This paper presents a comprehensive stateof-the-art review of big data analytics and its applications in power grids, and also identifies challenges and opportunities from utility, industry, and research perspectives. The paper analyzes research gaps and presents insights on future research directions to integrate big data analytics into power system planning and operational frameworks. Detailed information for utilities looking to apply big data analytics and insights on how utilities can enhance revenue streams and bring disruptive innovation are discussed. General guidelines for utilities to make the right investment in the adoption of big data analytics by unveiling interdependencies among critical infrastructures and operations are also provided.

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ARCADES: analysis of risk from cyberattack against defensive strategies for the power grid

Cited by 15 publications

References 25 publications

Effectiveness of Forensic Firewall in Protection of Devices from Cyberattacks

Effectiveness of Forensic Firewall in Protection of Devices from Cyberattacks

Criticality based Optimal Cyber Defense Remediation in Energy Delivery Systems

Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions

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