Ant Lion Optimizer Based Clustering Algorithm for Wireless Body Area Networks in Livestock Industry

Saleem, Fawad; Majeed, Muhammad Nadeem; Iqbal, Jawaid; Waheed, Abdul; Rauf, Abdul; Zareei, Mahdi; Mohamed, Ehab Mahmoud

doi:10.1109/access.2021.3104643

Cited by 20 publications

(6 citation statements)

References 54 publications

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“…When it comes to outsourced encrypted data, attributebased encryption (ABE) is a potential cryptographic solution that might be used for fine-grained access control [8][9][10][11][12][13][14][15]. In today's dynamic environment, traditional ABE systems [16][17][18][19][20][21][22][23] imply a fixed access policy, which is incompatible with today's dynamic environment. Although many ABE systems with dynamic access control policies have been described, these schemes do not address forward security, backward security, or integrity protection even if a policy changes [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Efficient and Secure Key Management and Authentication Scheme for WBSNs Using CP-ABE and Consortium Blockchain

et al. 2022

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Wireless body sensor networks (WBSNs) pose significant security and privacy risks. The Medical Server (MS) will only allow legitimate stakeholders access to confidential patient medical records when successful mutual authentication between all registered users and the MS has been confirmed using preset secret attributes. This paper proposes a novel approach to overcome the security and privacy problems in WBSNs by using CP-ABE and a consortium blockchain for key management and authentication. In this paper, a fixed-size session key is computed by utilizing several attribute base rules and AND/OR logic gate combinations. IEEE 802.15.6 is also used to transmit the encoded patient data from the register and legitimately deployed biosensor nodes on a patient’s body to the Base Station nearby (BS). This was done in part by leveraging consortium blockchains to construct partial blocks and then, transmit the encrypted partial blocks to MS via peer-to-peer networks, as well as aggregating critical physiological information. MS is now validating partial blocks with a hash function to ensure their integrity before converting them all into full blocks, which are subsequently mined and put on the blockchain effectively and ideally using a consensus mechanism. When sessions between MS and stakeholders are established, all legitimate consumers can view the secure medical records of a registered patient in a hospital using their predefined access structure.. The resource-constrained environment of WBSNs can benefit from enhanced data security and privacy by using CP-ABE in conjunction with the organization’s consensus to encrypt the patient’s critical features or attributes. Automated Validation of Internet Security Protocol and Applications (AVISPA) tool is used to verify the validity and correctness of the proposed authentication mechanism. The proposed scheme reduces transmission, processing and storage costs and energy usage by a significant margin when compared to current state-of-the-art alternatives. It is also worth noting that a multicriteria decision making (MCDM) approach known as Evaluation Based on Distance from Average Solution (EDAS) is employed to provide the ranking and determine which strategy is optimal across all of the domains involved.

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Section: Introductionmentioning

confidence: 99%

Efficient and Secure Key Management and Authentication Scheme for WBSNs Using CP-ABE and Consortium Blockchain

et al. 2022

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“…As seen in Figure 9 and Table 4, the SS-GSO approach is a good strategy for maximizing energy efficiency and longevity in the UWSN context. Overall, the results of the experiments showed that the LEACH method performed poorly across all comparison criteria Mohamed and Suganthan, 2017;Ahmad et al, 2021;Mehmood et al, 2021;Saleem et al, 2021;. Finally, our proposed method has performed better than all other techniques.…”

Section: Number Of Packets Receivedmentioning

confidence: 84%

Energy-efficient clustering protocol for underwater wireless sensor networks using optimized glowworm swarm optimization

et al. 2023

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In the past few decades, cutting-edge information and communication technology has been used in several ways to keep an eye on the marine environment. Underwater wireless sensor networks (UWSNs) can measure the amount of water and soil conditions, such as soil salinity, moisture, and movements, to predict landslides. UWSNs are made up of many wireless underwater sensor nodes (WSNs) that are spread out across the thalassic environment. These networks have several uses, including data collection, navigation, resource analysis, surveillance, disaster prediction, etc. Nowadays, energy efficiency becomes a complex issue to handle in the design of the UWSN due to the limited battery capacity and the challenges associated with changing or charging the integrated batteries. According to previous research, clustering and routing have already been effective methods of improving energy efficiency in the UWSN, as unreplaceable batteries and long-distance communication delays are particularly vulnerable. As a result, one of the UWSN’s critical issues is determining how to extend the network’s lifespan while balancing its energy consumption and shortening transmission distances. In UWSN clustering, the most important considerations are acquiring a suitable count of clusters, constituting the clusters, and picking the most satisfactory cluster head (CH) for each cluster. Based on several factors, such as residuary energy, total energy consumption, and other considerations, our proposed approach picks CHs and arranges them into clusters. Also, the proposed SS-GSO method constructs a fitness function by including various sources of information, like total energy, residual energy, and luciferin value. Several simulation runs were executed to test how much better the SS-GSO approach worked. The comparison results showed that while evaluating clustering time, our proposed SS-GSO technique performs 22.91%, 50.03%, 42.42%, 58.06% better, in case of Total energy consumption 27.02%,14%,33.76%,41.97% more energy efficient, in Cluster lifetime 9.2%,19.88%,35.91%,40.54% less and in Packet delivery rate 8.29%,14.05%,17.67%,23.97% better as compared with other heuristic techniques, such as ACO, GWO, MFO and LEACH.

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“…To deal with these worries, we came up with a plan called lightweight verifiable data management (LVDM). Saleem et al [15] describes a metaheuristic method for choosing the best clusters in WBANs to make a routing protocol for monitoring livestock health and behavior that uses less energy. The proposed method uses ant lion optimizer (ALO) to choose the best clusters for different pasturage sizes, taking into account the user's preferences about cluster density.…”

Section: Related Workmentioning

confidence: 99%

Enhancing the performance of network in wireless body area network based on novel encryption algorithm

Atta Ismael,

Talal Kamil,

A. Jasim

et al. 2024

TELKOMNIKA

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The efficiency of tools used to collect private medical data on people has significantly improved over time. These include implanted, surfacemounted, or encircling devices that form a wireless body area network (WBAN). Although the most recent secure authentication techniques in the industry offer privacy and security, these schemes have a higher time cost for authentication and take longer to complete owing to the restricted computational power of WBAN devices. We provide a novel authentication method depending on the lightweight wearable device scheme for the WBAN environment. Wearable devices are used to capture sensor data from the patient's body in the beginning, after which any redundant data is removed by normalization. The method we suggest for encrypting the data is multi-fractional triphase duplex data encryption (MTDDE) with ant colony optimization (ACO). The method considers not only the security of the data but also the many limitations of sensor nodes, such as battery life, throughput, computing power limitations, and dynamic topology. The thorough research demonstrates that our suggested technique saves computing costs while maintaining security and privacy together with anonymous verification. The suggested system's effectiveness in protecting the privacy and confidentiality of patient health data in WBAN is demonstrated by the simulation model.

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Ant Lion Optimizer Based Clustering Algorithm for Wireless Body Area Networks in Livestock Industry

Cited by 20 publications

References 54 publications

Efficient and Secure Key Management and Authentication Scheme for WBSNs Using CP-ABE and Consortium Blockchain

Efficient and Secure Key Management and Authentication Scheme for WBSNs Using CP-ABE and Consortium Blockchain

Energy-efficient clustering protocol for underwater wireless sensor networks using optimized glowworm swarm optimization

Enhancing the performance of network in wireless body area network based on novel encryption algorithm

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