Internet of Things-Based Data Hiding Scheme for Wireless Communication

Shobanadevi, A.; Maragathm, G.; Gangadharan, Syam Machinathu Parambil; Soni, Mukesh; Kumar, R. Loshith; Tran, Tien Anh; Singh, Bhupesh Kumar

doi:10.1155/2022/6997190

Cited by 12 publications

(2 citation statements)

References 20 publications

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“…However, existing studies often regard forwarding as the only way of information dissemination while ignoring other possible dissemination behaviors. Researchers are also providing data hiding techniques [20] for securing information on social media.…”

Section: Information Dissemination Predictionmentioning

confidence: 99%

Influential Incremental Learning-Based Privacy Preservation for Social Network Information

Alshudukhi

2022

Security and Communication Networks

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Social network influence dissemination focuses on employing a small number of seed sets to generate the most significant possible influence in social networks and considers forwarding to be the only technique of information transmission, ignoring all other ways. Users, for example, can post a message via this mode of distribution (called para), which is difficult to trace, posing a danger of privacy leakage. This research tries to address the aforementioned issues by developing a social network information transmission model that supports the paranormal relationship. It suggests a way of disseminating information called Local Greedy, which aids in the protection of user privacy. Its effect helps to reconcile the conflict between privacy protection and information distribution. Aiming at the enumeration problem of seed set selection, an incremental strategy that supports privacy protection is proposed to construct seed sets to reduce time overhead; a local influence subgraph method of computing nodes is given to estimate the influence of seed set propagation quickly; the group satisfies the constraints of privacy protection, and a plan is proposed to deduce the upper limit of the probability of node leakage state, avoiding the time cost of using the Monte Carlo method using the crawled Sina Weibo dataset. Experimental verification and example analysis are carried out, and the results show the effectiveness of the proposed method.

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Section: Information Dissemination Predictionmentioning

confidence: 99%

Influential Incremental Learning-Based Privacy Preservation for Social Network Information

Alshudukhi

2022

Security and Communication Networks

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“…In [49] prediction of IoT traffic has attracted the researchers for the better use of bandwidth. Internet of things [50] suggested the methods for digital information access for better use of time and space complexity.…”

Section: Related Workmentioning

confidence: 99%

A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

et al. 2022

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A software-defined vehicular network is made up of an IoT (Internet of Things) based vehicular ad-hoc network and a software-defined network. For better communication in IoT based vehicle networks, researchers are now working on the VANET (Vehicular Ad-hoc Network) to increase the overall system performance. To maximize the VANET ad-hoc network's information application performance and reliability, edge computing has gained the attention of researchers. In current research, cloud computing is used for message related task execution, which increases the response time. We propose a Software-defined Fault Tolerance and QoS-Aware (Quality of Service) IoT-Based Vehicular Networks Using Edge Computing Secured by Blockchain to reduce overall communication delay, message failure fault tolerance, and secure service provisioning for VANET ad-hoc networks in this article. We proposed heuristic algorithms to solve the above mentioned problems of response delay, message failure, fault tolerance, and security provided by the Blockchain. The proposed model gets vehicle messages through SDN (Software defined network) nodes, which are placed on nearby edge servers, and the edge servers are validated by the blockchain to provide secure services to vehicles. The SDN controller, which exists on an edge server, which is placed on the road side to overcome communication delays, receives different messages from the vehicles and divides these messages in to two different categories. The message division is performed by the edge server by judging the time line, size, and emergency situation. SDN controller organized these messages and forwarded them to their destination. After the message is delivered to its destination, a fault tolerance mechanism checks their acknowledgements. If the message delivery fails, the fault tolerance algorithm will resend the failure message. The proposed model is implemented using a custom simulator and compared with the latest VANET based QoS and fault tolerance models. The result shows the performance of the proposed model, which decreased the overall message communication delay by 55% of the normal and emergency messages by using the edge server SDN controller. Furthermore, the proposed model reduces the execution time, security risk, and message failure ratio by using the edge server, cloud server and blockchain infrastructure.

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The energy efficiency management system on ships using internet of things technology for reducing environmental pollution

Tran¹

2023

Recent Advancement of IoT Devices in Pollution Control and Health Applications

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Internet of Things-Based Data Hiding Scheme for Wireless Communication

Cited by 12 publications

References 20 publications

Influential Incremental Learning-Based Privacy Preservation for Social Network Information

Influential Incremental Learning-Based Privacy Preservation for Social Network Information

A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

The energy efficiency management system on ships using internet of things technology for reducing environmental pollution

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