Combination of D-AHP and Grey Theory for the Assessment of the Information Security Risks of Smart Grids

Dong, Hua; Zhao, Jun; Yang, Xiaoyu; Yang, Kun

doi:10.1155/2020/3517104

Cited by 6 publications

(3 citation statements)

References 31 publications

(34 reference statements)

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“…Password guessing is a method of gaining access to a system by guessing passwords and gaining access to a targeted device. In addition, the attacker consumes network resources and bandwidth to carry out several attacks that consequently limit the access of legitimate users to the resources [147].…”

Section: Password Strengthmentioning

confidence: 99%

A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook

et al. 2022

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Swift population growth and rising demand for energy in the 21st century have resulted in considerable efforts to make the electrical grid more intelligent and responsive to accommodate consumers’ needs better while enhancing the reliability and efficiency of modern power systems. Internet of Things (IoT) has appeared as one of the enabling technologies for smart energy grids by delivering abundant cutting-edge solutions in various domains, including critical infrastructures. As IoT-enabled devices continue to flourish, one of the major challenges is security issues, since IoT devices are connected through the Internet, thus making the smart grids vulnerable to a diverse range of cyberattacks. Given the possible cascading consequences of shutting down a power system, a cyberattack on a smart grid would have disastrous implications for the stability of all grid-connected infrastructures. Most of the gadgets in our homes, workplaces, hospitals, and on trains require electricity to run. Therefore, the entire grid is subject to cyberattacks when a single device is hacked. Such attacks on power supplies may bring entire cities to a standstill, resulting in massive economic losses. As a result, security is an important element to address before the large-scale deployment of IoT-based devices in energy systems. In this report, first, we review the architecture and infrastructure of IoT-enabled smart grids; then, we focus on major challenges and security issues regarding their implementation. Lastly, as the main outcome of this study, we highlight the advanced solutions and technologies that can help IoT-enabled smart grids be more resilient and secure in overcoming existing cyber and physical attacks. In this regard, in the future, the broad implementation of cutting-edge secure and data transmission systems based on blockchain techniques is necessary to safeguard the entire electrical grid against cyber-physical adversaries.

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Section: Password Strengthmentioning

confidence: 99%

A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook

et al. 2022

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“…The results showed that the proposed technique could potentially increase the reliability of network security risk assessments. Dong et al [56] used a modified AHP called D-AHP to evaluate security of smart grids. The top-level criteria used included smart terminal, wireless communication channel, password security, application code and the embedded system.…”

Section: A Using Ahp To Assess Securitymentioning

confidence: 99%

“…), management (safety management, etc.) [54] Security Level Agreements Compliance, data governance, information security Network Security [55] Network Security Assets, access control, communication [56] Smart Grid Security Smart terminal, wireless channel, password security, app. code, embedded system [57] Network Security Software, hardware, information, communication, organization, physical environment [58] Wireless Security Authenticity, availability, confidentiality, integrity, non-repudiation theory to assess wireless network security using the top-level criteria of authenticity, availability, confidentiality, and integrity.…”

Section: A Using Ahp To Assess Securitymentioning

confidence: 99%

Ranking Security of IoT-Based Smart Home Consumer Devices

AlLifah

Zualkernan

2022

IEEE Access

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Smart home consumer devices like home theatres, music players, voice-based assistants, smart lighting, and security cameras have widely adopted the Internet of Things (IoT). These devices pose a significant security risk to consumers because the devices are exposed to mobile applications and cloud-based services with known security vulnerabilities. IoT technologies also introduce additional vulnerabilities specific to smart home architectures. Most current home consumer devices provide little or no information about the level of security they afford. Since most consumers are not tech-savvy, it is currently difficult for a consumer to make an informed decision about which consumer device model (e.g., which smart television model?) has the best security. Hence, consumers need an objective security ranking of each type (e.g., security cameras) of home consumer devices. This paper proposes a novel methodology to systematically build such security rankings for home consumer devices. The proposed methodology can be applied by utilizing data from any security assessment study. The paper discusses previous efforts in applying Analytic Hierarchy Process (AHP) to rank security risks in general. The paper also presents a systematic survey of security vulnerabilities of smart home consumer devices when viewed from an IoT lens. Using the proposed methodology, a case study where an AHP model for ranking commonly used home consumer devices including home theatres, security cameras, smart lighting, smart speakers, video surveillance, smart switches, home automation systems, home security systems, smart routers, wireless doorbell cameras, and home audio systems, was developed. Relative security rankings for each type of consumer device were derived from the AHP model. According to the AHP model, network security was the primary driver of smart home device security with a priority of 0.6893 while application security had the least priority of 0.0591. Critical Vulnerabilities were the most important for device security (priority=0.4397), Man-in-The-Middle attacks for network security (priority=0.2019), exploitable services for cloud security (priority=0.26), and sensitive data for application security (0.7626). The AHP model was internally consistent (Consistency Ratio < 0.1). Sensitivity analysis showed that the AHP model was robust against pairing assumptions.INDEX TERMS AHP, consumer applications, cloud computing, home consumer devices, Internet of Things, network security, smart home.

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Investigation and analysis of demand response approaches, bottlenecks, and future potential capabilities for IoT‐enabled smart grid

Khan,

Waseem

et al. 2024

IET Renewable Power Gen

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Significant attempts have been made to make the electrical grid more intelligent and responsive to better meet customers' requirements while boosting the stability and efficiency of current power systems. Smart grid technologies, which have just recently emerged, facilitated the incorporation of demand response (DR) by introducing an information and communication backbone to the current system. The Internet of Things (IoT) has emerged as a key technology for smart energy grids. Security concerns have emerged as a major obstacle to the widespread adoption of IoT‐enabled devices because of the inherent Internet connectivity of these smart gadgets. Therefore, security is a crucial factor to address before the widespread implementation of IoT‐based devices in power grids. In this study, the framework and architecture of smart grids that are enabled by the IoT are first examined. Then, the role of IoT for DR in smart grids and different approaches adopted worldwide to make DR schemes more effective, have been discussed in detail. Finally, the authors discuss how IoT‐enabled smart grids can benefit from cutting‐edge solutions and technologies that make them more secure and resistant to cyber and physical attacks.

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Combination of D-AHP and Grey Theory for the Assessment of the Information Security Risks of Smart Grids

Cited by 6 publications

References 31 publications

A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook

A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook

Ranking Security of IoT-Based Smart Home Consumer Devices

Investigation and analysis of demand response approaches, bottlenecks, and future potential capabilities for IoT‐enabled smart grid

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