Investigation of Vulnerabilities on Smart Grid End Devices

Gui, Yutian; Siddiqui, Ali Shuja; Tamore, Suyash Mohan; Saqib, Fareena

doi:10.1109/cyberpels.2019.8925210

Cited by 4 publications

(4 citation statements)

References 5 publications

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“…Vulnerabilities in IoTHD design and implementation pose immediate data-based threats. These threats include mass data leaks, IoT 2023, 4 improper forwarding of data, and sometimes even indirectly disrupting the operation of other connected devices through a lack of communication or coordination [15][16][17]. We found vulnerabilities in production-scale and patched devices that have stored data in unencrypted, non-proprietary, and easy-to-access formats.…”

Section: Introductionmentioning

confidence: 98%

“…However, it is worth noting that proprietary formats can frustrate open-source efforts and are usually financially motivated but more secure. Alternatively, some vulnerabilities leak access to other connected devices, which is problematic for any roll-out [17]. Relating to attacks, an increasing amount of health and manufacturing infrastructure has been open [17,18] and subject to attacks, such as Advanced Persistent Threats (APTs), ransomware, trojans, worms, and loggers [19].…”

Section: Introductionmentioning

confidence: 99%

“…Alternatively, some vulnerabilities leak access to other connected devices, which is problematic for any roll-out [17]. Relating to attacks, an increasing amount of health and manufacturing infrastructure has been open [17,18] and subject to attacks, such as Advanced Persistent Threats (APTs), ransomware, trojans, worms, and loggers [19]. These persistent problems within the IoTHD supply chain and health chain of actions pose numerous threats to patient health, caregiver service, and national security.…”

Section: Introductionmentioning

confidence: 99%

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IoT Health Devices: Exploring Security Risks in the Connected Landscape

Affia

Finch

Jung

et al. 2023

IoT

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The concept of the Internet of Things (IoT) spans decades, and the same can be said for its inclusion in healthcare. The IoT is an attractive target in medicine; it offers considerable potential in expanding care. However, the application of the IoT in healthcare is fraught with an array of challenges, and also, through it, numerous vulnerabilities that translate to wider attack surfaces and deeper degrees of damage possible to both consumers and their confidence within health systems, as a result of patient-specific data being available to access. Further, when IoT health devices (IoTHDs) are developed, a diverse range of attacks are possible. To understand the risks in this new landscape, it is important to understand the architecture of IoTHDs, operations, and the social dynamics that may govern their interactions. This paper aims to document and create a map regarding IoTHDs, lay the groundwork for better understanding security risks in emerging IoTHD modalities through a multi-layer approach, and suggest means for improved governance and interaction. We also discuss technological innovations expected to set the stage for novel exploits leading into the middle and latter parts of the 21st century.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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IoT Health Devices: Exploring Security Risks in the Connected Landscape

Affia

Finch

Jung

et al. 2023

IoT

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“…Currently, there is no standardized protection for this type of IoT device. These elements are susceptible to various attacks, primarily linked to the communication mechanisms, authentication and authorization issues, and the insecurity of their software or firmware [56,57]:…”

mentioning

confidence: 99%

Detection of Vulnerabilities in Smart Buildings Using the Shodan Tool

Mulero-Palencia,

Monzon Baeza

2023

Electronics

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Smart buildings, integral components of modern urban landscapes, are confronted with diverse vulnerabilities that jeopardize system robustness, cybersecurity, data confidentiality, and the well-being of the occupants. This work aimed to identify and evaluate vulnerabilities specific to smart buildings, introducing an innovative assessment approach leveraging the Shodan tool. The analysis comprised three stages: information collection, result extraction using Shodan, and vulnerability identification, culminating in a comprehensive evaluation. This study pioneers the use of Shodan for smart building vulnerability detection, together with databases and associated nomenclature, to serve as a robust foundational tutorial for future research. The findings yielded a meticulous analysis of primary security risks inherent in building systems, advocating for implementing targeted measures to mitigate potential impacts. Additionally, this study proposes an evaluation methodology encompassing metrics to gauge the effect of vulnerabilities on integrity, availability, and scope. By addressing insecure configurations, deployment inadequacies, and suboptimal cybersecurity practices, this framework fortifies smart buildings against potential threats. This study’s originality lies in its Shodan-centric framework, revolutionizing the approach to smart building applications and vulnerability detection. This research contributes to the field by identifying critical vulnerabilities and proposing effective mitigation strategies, thereby elevating the overall security and safety of interconnected smart spaces.

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