RETRACTED ARTICLE: PCOS—Privacy-Controlled Offloading Scheme for Secure Service Data Offloading in Edge-Internet of Things-Cloud Scenario

Alkatheiri, Mohammed Saeed

doi:10.1007/s13369-021-05607-6

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…Alkatheiri [13] presents privacy-controlled offloading system to improve the data sharing security among the edge-IoT gadgets. In this system, harmonized trust validation with recursive decision making is implemented, afterward the data offloading method.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Based Data Offloading Technique for Secure MEC Systems

Alrowais¹,

Almasoud²,

Marzouk³

et al. 2022

Computers, Materials &Amp; Continua

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Mobile edge computing (MEC) provides effective cloud services and functionality at the edge device, to improve the quality of service (QoS) of end users by offloading the high computation tasks. Currently, the introduction of deep learning (DL) and hardware technologies paves a method in detecting the current traffic status, data offloading, and cyberattacks in MEC. This study introduces an artificial intelligence with metaheuristic based data offloading technique for Secure MEC (AIMDO-SMEC) systems. The proposed AIMDO-SMEC technique incorporates an effective traffic prediction module using Siamese Neural Networks (SNN) to determine the traffic status in the MEC system. Also, an adaptive sampling cross entropy (ASCE) technique is utilized for data offloading in MEC systems. Moreover, the modified salp swarm algorithm (MSSA) with extreme gradient boosting (XGBoost) technique was implemented to identification and classification of cyberattack that exist in the MEC systems. For examining the enhanced outcomes of the AIMDO-SMEC technique, a comprehensive experimental analysis is carried out and the results demonstrated the enhanced outcomes of the AIMDO-SMEC technique with the minimal completion time of tasks (CTT) of 0.680.

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Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Based Data Offloading Technique for Secure MEC Systems

Alrowais¹,

Almasoud²,

Marzouk³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

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Intelligent Experimental Cloud Sharing Network of Clothing Design based on Digital Image Modeling

Jing-hong

2022

2022 International Conference on Edge Computing and Applications (ICECAA)

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Smart Architectural Framework for Symmetrical Data Offloading in IoT

et al. 2021

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With new technologies coming to the market, the Internet of Things (IoT) is one of the technologies that has gained exponential rise by facilitating Machine to Machine (M2M) communication and bringing smart devices closer to end users. By 2025, it is expected that IoT will bring together 78.4 billion of devices, thus improving the quality of life beyond our imagination; however, there are multiple potential challenges, such as the exploitation of energy consumption and the huge data traffic being generated by smart devices causing congestion and utilizing more bandwidth. Various researchers have provided an alternative to this problem by performing offloading of data, the task and computational requirements of an application at edge and fog nodes of IoT, thus helping to overcome latency issues for critical applications. Despite the importance of an offloading approach in IoT, there is need for a systematic, symmetric, comprehensive, and detailed survey in this field. This paper provides a systematic literature review (SLR) on data offloading approaches in IoT network at edge and fog nodes in the form of a classical taxonomy in order to recognize the state-of-the art mechanism(s) associated with this important topic and provide open consideration of issues as well. All of the research on classified offloading approaches done by researchers is compared with each other according to important factors such as performance metrics, utilized techniques, and evaluation tools, and their advantages and disadvantages are discussed. Finally, an efficient smart architecture-based framework is proposed to handle the symmetric data offloading issues.

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RETRACTED ARTICLE: PCOS—Privacy-Controlled Offloading Scheme for Secure Service Data Offloading in Edge-Internet of Things-Cloud Scenario

Cited by 3 publications

References 30 publications

Artificial Intelligence Based Data Offloading Technique for Secure MEC Systems

Artificial Intelligence Based Data Offloading Technique for Secure MEC Systems

Intelligent Experimental Cloud Sharing Network of Clothing Design based on Digital Image Modeling

Smart Architectural Framework for Symmetrical Data Offloading in IoT

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