Efficient Key Management System Based Lightweight Devices in IoT

Priyadharshini, T. Chindrella; Geetha, D. Mohana

doi:10.32604/iasc.2022.020422

Cited by 7 publications

(2 citation statements)

References 19 publications

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“…The performance of the secure model framework is further analyzed concerning the time for generation of the hash and the level of security. The robustness of the security mechanism in the proposed model is analyzed with other approaches such as Point-on-Curve-based Fowler–Noll–Vo (PoC-FNV), RACE Integrity Primitives Evaluation Message Digest (RIPEMD), Message Digest Algorithm 5 (MD5), Spooky Hash, and Fowler–Noll–Vo (FNV) [ 30 , 31 ]. The corresponding graph for time consumption to generate the graph is shown in Figure 9 .…”

Section: Resultsmentioning

confidence: 99%

A Software Framework for Intelligent Security Measures Regarding Sensor Data in the Context of Ambient Assisted Technology

Ahmed

Srinivasu

Alhumam

2023

Sensors

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Ambient assisted technology (AAT), which has the potential to enhance patient care and productivity and save costs, has emerged as a strategic goal for developing e-healthcare in the future. However, since the healthcare sensor must be interconnected with other systems at different network tiers, distant enemies have additional options to attack. Data and resources integrated into the AAT are vulnerable to security risks that might compromise privacy, integrity, and availability. The gadgets and network sensor devices are layered with clinical data since they save personal information such as patients’ names, addresses, and medical histories. Considering the volume of data, it is difficult to ensure its confidentiality and security. As sensing devices are deployed over a wider region, protecting the privacy of the collected data becomes more difficult. The current study proposes a lightweight security mechanism to ensure the data’s confidentiality and integrity of the data in ambient-assisted technology. In the current study, the data are encrypted by the master node with adequate residual energy, and the master node is responsible for encrypting the data using the data aggregation model using a node’s key generated using an exclusive basis system and a Chinese remainder theorem. The integrity of the data is evaluated using the hash function at each intermediate node. The current study defines the design model’s layered architecture and layer-wise services. The model is further analyzed using various evaluation metrics, such as energy consumption, network delay, network overhead, time in generating hash, tradeoff between encryption and decryption, and entropy metrics. The model is shown to adequately perform on all measures considered in the analysis.

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Section: Resultsmentioning

confidence: 99%