Distance Matrix and Markov Chain Based Sensor Localization in WSN

Bamasaq, Omaima; Alghazzawi, Daniyal; Bhatia, Surbhi; Dadheech, Pankaj; Arslan, Farrukh; Sengan, Sudhakar; Hassan, Syed Hamid

doi:10.32604/cmc.2022.023634

Cited by 8 publications

(5 citation statements)

References 33 publications

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“…The government will no longer have the responsibility of verifying to make sure that the certificates are valid. In the SSI system, the government only needs to issue digital certificates and register cryptographic proofs in certificates in a public and decentralized network, removing the government's need to maintain additional infrastructure [87,88]. Individuals will have full control over the sharing of data.…”

Section: Issuing Of Verifiable Credentials/certificationsmentioning

confidence: 99%

Land Registry Framework Based on Self-Sovereign Identity (SSI) for Environmental Sustainability

et al. 2022

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Providing a system user with a unique and secure identity is a prerequisite for authentication and authorization aspects of a security system. It is generally understood that the existing digital identity systems store the identity details in centralized databases, and users store the identity details in centralized databases in which users do not have any control over them. These vulnerabilities in the traditional digital identities make them susceptible to various malicious assaults and modifications. Users’ personally identifiable information (PII) may leak through these identity solutions that can consequently affect other applications being used by the users, and they have no control over them. Land registration is a major domain of governance that defines civilians’ well-being and needs to be handled properly to avoid conflict and to support Environmental Sustainability. These traditional land registry applications also lack identity parameters due to weaknesses in identity solutions. A secure and reliable digital identity solution is the need of the hour. Self-sovereign identity (SSI), a new concept, is becoming more popular as a secure and reliable identity solution for users based on identity principles. SSI provides users with a way to control their personal information and consent for it to be used in various ways. In addition, the user’s identity details are stored in a decentralized manner, which helps to overcome the problems with digital identity solutions. This article reviews existing SSI solutions and analyzes them using SSI principles. It also assesses the SSI components required for constructing SSI frameworks that adhere to the SSI principles. Furthermore, it defines the procedures for establishing an SSI ecosystem, explores the laws governing digital identity that governments have adopted, and identifies SSI applications in several fields. Finally, a review of SSI applications in the domain of land registry systems is given in order to propose an SSI-based land registry framework for a secure and reliable land registry system.

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Section: Issuing Of Verifiable Credentials/certificationsmentioning

confidence: 99%

Land Registry Framework Based on Self-Sovereign Identity (SSI) for Environmental Sustainability

et al. 2022

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“…Step 10: Improve the sensor node with the worst fitness according to (4) and (5). When the subsensor network completes its iteration times and conforms to the full network iteration times, the update ends and the optimal value of the entire network is output.…”

Section: Application Of Pso-sfla Algorithm In Multipath Transmission ...mentioning

confidence: 99%

“…For example, the redundant transmission mode adopted in the network leads to a decrease in the reliability and stability of the transmission path of the network [ 4 ]. At the same time, the number of redundant transmissions is increased, and due to the uneven consumption of node energy consumption, the energy of some nodes will be completely lost, making the sensor nodes in some areas of the entire network unable to work [ 5 ]. Ultimately, it leads to the failure of the sensor network system and affects the network's lifetime.…”

Section: Introductionmentioning

confidence: 99%

An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks

Sun

Wang

et al. 2022

Computational Intelligence and Neuroscience

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Multipath data transmission is a key problem that needs to be solved urgently in wireless sensor networks. In this paper, sensor node failure, link failure, energy exhaustion, and external interference affect the stability and reliability of network data transmission. A multipath transmission strategy for wireless sensor networks based on improved shuffled frog leaping algorithm is proposed. A mathematical model of multipath transmission in wireless sensor networks is established. In the shuffled frog leaping algorithm, combined with the transition probability in the particle swarm optimization algorithm, random individuals in the subgroup are introduced to assist the search when updating the frog individual position, which improves the algorithm's ability to jump out of the local optimum and improves the quality of the optimization algorithm solution. The model is applied to multipath transmission in wireless sensor networks. Then, the shuffled frog leaping algorithm is used to update, divide, and reorganize the sensor nodes to select the optimal node to establish the optimal transmission path and improve the stability and reliability of the network. Simulation experiments show that the algorithm in this paper can ensure the reliability of data transmission, reduce the network packet loss rate and network energy consumption, and reduce the average delay of data transmission.

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“…The detection of proposed work can be evaluated by considering the attacks such as DoS11, DoS53s, DoS53a, Scan11, Scan44, Botnet, IP in Blacklist, UDP Scan, SSH Scan, SPAM with the existing works such as SVM [27], MLP [28], Faster RCNN [29], CNN [30], and DCGAN approaches [31]. Fig.…”

Section: Classification Of Attacks Analysismentioning

confidence: 99%

Optimized Generative Adversarial Networks for Adversarial Sample Generation

Alghazzawi¹,

Hasan²,

Bhatia³

2022

Computers, Materials &Amp; Continua

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Detecting the anomalous entity in real-time network traffic is a popular area of research in recent times. Very few researches have focused on creating malware that fools the intrusion detection system and this paper focuses on this topic. We are using Deep Convolutional Generative Adversarial Networks (DCGAN) to trick the malware classifier to believe it is a normal entity. In this work, a new dataset is created to fool the Artificial Intelligence (AI) based malware detectors, and it consists of different types of attacks such as Denial of Service (DoS), scan 11, scan 44, botnet, spam, User Datagram Portal (UDP) scan, and ssh scan. The discriminator used in the DCGAN discriminates two different attack classes (anomaly and synthetic) and one normal class. The model collapse, instability, and vanishing gradient issues associated with the DCGAN are overcome using the proposed hybrid Aquila optimizer-based Mine blast harmony search algorithm (AO-MBHS). This algorithm helps the generator to create realistic malware samples to be undetected by the discriminator. The performance of the proposed methodology is evaluated using different performance metrics such as training time, detection rate, F-Score, loss function, Accuracy, False alarm rate, etc. The superiority of the hybrid AO-MBHS based DCGAN model is noticed when the detection rate is changed to 0 after the retraining method to make the defensive technique hard to be noticed by the malware detection system. The support vector machines (SVM) is used as the malicious traffic detection application and its True positive rate (TPR) goes from 80% to 0% after retraining the proposed model which shows the efficiency of the proposed model in hiding the samples.

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Distance Matrix and Markov Chain Based Sensor Localization in WSN

Cited by 8 publications

References 33 publications

Land Registry Framework Based on Self-Sovereign Identity (SSI) for Environmental Sustainability

Land Registry Framework Based on Self-Sovereign Identity (SSI) for Environmental Sustainability

An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks

Optimized Generative Adversarial Networks for Adversarial Sample Generation

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