RETRACTED ARTICLE: An intelligent cross layer security based fuzzy trust calculation mechanism (CLS-FTCM) for securing wireless sensor network (WSN)

Sumalatha, M.S.; Nandalal, V.

doi:10.1007/s12652-020-01834-1

Cited by 24 publications

(13 citation statements)

References 19 publications

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“…The schemes failed to focus on the effectual acquisition of numerous statistics in a disseminated environment and did not utilize the lightweight security structure. Sumalatha et al [25] proffered the cross-layer security-centric fuzzy trust calculation (CLS-FTC) and least OH monitoring approaches for WSNs. These approaches were proffered with memory and energy demands for resolving some existent issue.…”

Section: Literature Reviewmentioning

confidence: 99%

DAMFO-Based Optimal Path Selection and Data Aggregation in WSN

Mercy¹,

Mathana²,

Jasmine³

2022

Intelligent Automation &Amp; Soft Computing

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Wireless Sensor Network (WSN) encompasses several tiny devices termed as Sensor Nodes (SN) that have restriction in resources with lower energy, memory, together with computation. Data Aggregation (DA) is required to optimize WSN for secured data transmission at Cluster Head (CH) together with Base Station (BS). With regard to the Energy Efficiency (EE) along with the privacy conservation requirements of WSN in big-data processing and aggregation, this paper proposed Diversity centered Adaptive Moth-Flame Optimization (DAM-FO) for Optimal Path Selection (OPS) and DA in WSN. In the proposed work, initially, the Trust Evaluation (TE) process is performed. The Pompeiu Distance-centered Fuzzy C-Means (PDFCM) is employed for Cluster Formation (CF) in addition to Cluster Head Selection (CHS) and then DAMFO algorithm chooses the optimal path to gather the data together with cluster centroids. The DHECC algorithm then generates keys and encrypts the aggregated data. The encrypted data is finally passed on to the BS. The experimentation outcomes exhibited that the proposed algorithm outweighs the traditional methods with respect to Energy Consumption (EC) 6.35 J, Packet Delivery Ratio (PDR) of 93%, Throughput of 0.956 bps, end-to-end delay 6.547 s, together with a lifetime of networks. Additionally, the proposed system exhibits the best Security Level (SL) of 94.2% amid the transmission.

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Section: Literature Reviewmentioning

confidence: 99%

DAMFO-Based Optimal Path Selection and Data Aggregation in WSN

Mercy¹,

Mathana²,

Jasmine³

2022

Intelligent Automation &Amp; Soft Computing

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“…Trust management schemes (TMSs) are proved as an efficient and reliable tool [17][18] to catch as well as mitigate (diminish) malicious IPSs. Trust evaluation monitors the IPSs behavior, estimates the trust value, and then quantified it into highly trusted, trusted, and distrusted [19][20]. Trust value (score) is a level (quantification or measure) of belief of one entity towards another entity [21][22].…”

Section: A Trust and Reputation Systemsmentioning

confidence: 99%

ETAS: An Efficient Trust Assessment Scheme for BANs

et al. 2021

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A wireless body area network (WBAN) is a wireless network of wearable computing devices and intelligent physiological sensors. The intelligent physiological sensors collect and process sensitive data from the patient body. The security, reliability, and trustworthiness of sensitive data collected and processed by intelligent physiological sensors are critical due to its unique application domain. Moreover, consistent and reliable data gathering along with its transmission also plays a vital role in WBANs. Trust management (in BANs) has been found as a useful tool to improve cooperation among sensor nodes, security as well as reliability. The paper recommends a novel and efficient, lightweight trust assessment scheme (ETAS) suitable for health application domains and does not rely purely on any encryption technique. The primary purpose is to develop an exciting comprehensive, novel trust estimation framework for BANs to enhance reliability, dependability, security by isolating compromised (hotspot) nodes with great resource efficiency. ETAS incorporates several exclusive (unique) features like efficient trust evaluator, secure and attack resistant, along with competent trust aggregator function to achieve comprehensive trust score. The trust evaluator function is a multi-trust (communication trust, data trust, and energy trust) strategy to deal with severe internal security threats such as badmouthing attack, ballot-stuffing attack, sybil attack, traitor attack, etc. with less resource consumption. Moreover, ETAS incorporates both the success rate and misbehavior component during trust evaluation. The success rate record the number of successful/unsuccessful interactions among sensor nodes in terms of packet send/receive. The misbehavior component keeps records of current and past misbehavior of sensor nodes for effective decision making. Moreover, ETAS focus on the frequency of interaction among biomedical sensor nodes within a specified period to analyze their behavior for efficient trust decisions. Furthermore, ETAS incorporates temperature, data trust as well as the trust score of biomedical sensors to identify hotspot nodes in BSN. ETAS offers full flexibility to adjust the trust threshold, trust domain, reward, and punishment term according to system and application requirements. ETAS's efficiency is validated through several outcomes (MATLAB R2019a) along with theoretical analysis in terms of energy consumption, attack detection, mitigation, trust computation cost, and packet delivery ratio.

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“…The next type is online multi-view video summarization [22], [31]. [24] for accurate object detection and energy efficiency. After capturing the audio and video data from sensor nodes, the objects are recognized and the results are improved by the recognition performance at sensor nodes.…”

Section: ) Multimedia In-network Processingmentioning

confidence: 99%

“…selection[24] and A. Yazici et al[25] focused on the fusion of multi-modal data by applying object detection and machine learning algorithms. R. Gao et al[26] employed Wavelet transform and extracted the shape of the object from a video.…”

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confidence: 99%

QoS Strategies for Wireless Multimedia Sensor Networks with Energy- Efficient Routing Techniques & QoS Assurances

2021

International Journal For Innovative Engineering and Management

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In recent years, for delivering multimedia information such as images and videos, wireless multimedia sensor networks (WMSNs) have emerged as an outstanding technique. Due to the fast Advancements in sensor technology and the availability of low-cost hardware, the development of Wireless Multimedia Sensor Networks (WMSNs) has emerged. WMSNs are composed of resourceconstrained wireless nodes through which both the scalar data and multimedia data (i.e., audio, still images, and video) can be sensed and acquired from the environment. However, the resource-constrained nature of multimedia sensing devices has made the WMSNs face several challenges. To tackle these challenges, different authors developed different methods. In this paper, we have surveyed all such kinds of methods. Initially, we study the basic architecture of multimedia senor nodes followed by the characteristics and applications of WMSNs. Next, we have conducted a detailed survey over different methods and all those methods are segregated into three categories. Under the segregation, we have considered different aspects and segregated them as Data-Aware methods, QoS Aware methods, and Energy-Aware methods. In the end, we also summarized the existing solutions and outlined several pros and cons. In this paper, recent developments in techniques for designing highly energy-efficient and QoScapable WMSNs are surveyed.

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RETRACTED ARTICLE: An intelligent cross layer security based fuzzy trust calculation mechanism (CLS-FTCM) for securing wireless sensor network (WSN)

Cited by 24 publications

References 19 publications

DAMFO-Based Optimal Path Selection and Data Aggregation in WSN

DAMFO-Based Optimal Path Selection and Data Aggregation in WSN

ETAS: An Efficient Trust Assessment Scheme for BANs

QoS Strategies for Wireless Multimedia Sensor Networks with Energy- Efficient Routing Techniques & QoS Assurances

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