Internet of Things (IoT): Vulnerabilities, Security Concerns and Things to Consider

Ahmed, Eshtiak; Islam, Ashraful; Ashraf, Mohsena; Chowdhury, Atiqul Islam; Rahman, Mohammad Masudur

doi:10.1109/icccnt49239.2020.9225283

Cited by 4 publications

(1 citation statement)

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“…The rapid expansion of heterogeneous devices and applications in the Internet of Things (IoT) is also increasing the protection requirements. (1) An understanding of IoT security requires an understanding of the threats, vulnerabilities, and attacks involved (2) (3). The threat of a future vengeful act that could jeopardize an advantage should be taken seriously.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things: Security Vulnerabilities and Countermeasures

et al. 2022

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People's lives will be transformed by the Internet of Things (IoT), which connects everything from smart phones and sensors to the cloud to mobile apps and web-based controls. Security concerns are on the rise as the number of heterogeneous devices and data processing grows. Most IoT apps and devices are also well-known for their security flaws, making them vulnerable to many forms of attacks. To further complicate matters, threats have variable consequences on the device's security and quality. Unfortunately, enterprises are having difficulty determining which risks they face from their data assets and how to mitigate them. To better identify IoT security risks, this article has built a taxonomy based on the application domain and the design of the architecture. Servers, clients, IoT development boards, sensors, cloud subscriptions, and other components all play a role in this test setup. Vulnerability and network host scanning technologies are used to obtain raw data relevant to IoT-based smart city projects. This article also includes a mitigation approach for IoT network flaws.

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Section: Introductionmentioning

confidence: 99%

Internet of Things: Security Vulnerabilities and Countermeasures

et al. 2022

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FogChain: A Fog Computing Architecture Integrating Blockchain and Internet of Things for Personal Health Records

et al. 2021

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The Internet of Things (IoT) adoption grows significantly and is successful in many different domains. Nevertheless, the ever-growing demand for more connected devices pushes the requirement for scalable IoT architectures capable of maintaining the security and privacy of collected data. The latter is a particularly critical aspect when considering sensitive data, e.g., medical records. One solution to address this challenge is to modify the centralized back-end model to one based on a Blockchain, changing the way IoT data is stored and shared by providing a decentralized peer-to-peer network. This technology enables naming and tracking for connected devices, and in the case of this article, features a high availability of Personal Health Records, yet protecting patients' privacy through the use of cryptography. Furthermore, the addition of Fog computing mechanisms helps to achieve real-time data processing, supports precision medicine, and avoids single points of failure. As a result, devices have a local and more resilient ecosystem for operation. In this context, this work proposes an architecture model named FogChain, which combines the technologies Blockchain, Fog computing, and the IoT for the healthcare domain. Our main contribution is the FogChain model itself, and its concept of overcoming IoT constraints by employing a differential approach, adding an intermediary Fog layer near to the edge to improve their capabilities and resources. Experiments demonstrate that FogChain can achieve a 62.6% faster response time when compared to Cloudlike Blockchain infrastructures. The results obtained from the evaluation endorses the capacity of our model in achieving its goals while retaining application performance.

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