An automated context-aware IoT vulnerability assessment rule-set generator

Hashmat, Fabiha; Hina, Sadaf; Shah, Ghalib A.; Bakhshi, Taimur; Abbas, Waseem

doi:10.1016/j.comcom.2022.01.022

Cited by 9 publications

(1 citation statement)

References 24 publications

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“…Scalability can be defined as the ability of a system to preserve quality in the delivery of its services, even if there is an increase in the number of customers [32], and security pivotally relates to protect the system against any type of attack. For instance, the implementation of a system based on Blockchain technology needs to establish implementations that seek to mitigate already identified vulnerabilities, such as those that allow exploitation of the network by Sybil-type attacks [33,34]. where a node maliciously tries to take control of the network by creating other nodes linked to it [35].…”

Section: Healthcare Management System Based On Blockchain Requirementsmentioning

confidence: 99%

Towards Consensus Algorithm for Healthcare Management Systems in Blockchains

2023

CTCSA

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Medical-hospital records produced by computational management systems must ensure confidentiality, integrity, and availability of information. Literature studies point to the Blockchain technology as a promising candidate to accomplish these needs. Among the various functionalities existing in Blockchain-based systems, one of them is the consensus mechanism. Within this context, this article proposes enhancing the H-BFT consensus algorithm. The operation of this new algorithm is demonstrated by exploiting two case studies which briefly address the Brazilian SUS and the US Medicare-Medicaid, respectively. At last, general considerations and suggestions for future work close this article.

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Section: Healthcare Management System Based On Blockchain Requirementsmentioning

confidence: 99%

Towards Consensus Algorithm for Healthcare Management Systems in Blockchains

2023

CTCSA

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A survey on IoT & embedded device firmware security: architecture, extraction techniques, and vulnerability analysis frameworks

Ul Haq,

Singh,

Sharma

et al. 2023

Discov Internet Things

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IoT and Embedded devices grow at an exponential rate, however, without adequate security mechanisms in place. One of the key challenges in the cyber world is the security of these devices. One of the main reasons that these devices are active targets for large-scale cyber-attacks is a lack of security standards and thorough testing by manufacturers. Manufacturer-specific operating systems or firmware of various architectures and characteristics are typically included with these devices. However, due to a lack of security testing and/or late patching, the underlying firmware or operating systems are vulnerable to numerous types of vulnerabilities. Reverse engineering and in-depth research of the firmware is required to detect the vulnerabilities. In this paper, we've delved into various aspects of IoT and embedded devices. This includes a comprehensive survey on the architecture of firmware, techniques for firmware extraction, and state-of-the-art vulnerability analysis frameworks for the detection of vulnerabilities using various approaches like static, dynamic, and hybrid approaches. Furthermore, we’ve scrutinized the challenges of existing vulnerability analysis frameworks and proposed a novel framework to address these issues.

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A new method for vulnerability and risk assessment of IoT

Arat,

Akleylek

2023

Computer Networks

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An automated context-aware IoT vulnerability assessment rule-set generator

Cited by 9 publications

References 24 publications

Towards Consensus Algorithm for Healthcare Management Systems in Blockchains

Towards Consensus Algorithm for Healthcare Management Systems in Blockchains

A survey on IoT & embedded device firmware security: architecture, extraction techniques, and vulnerability analysis frameworks

A new method for vulnerability and risk assessment of IoT

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