Privacy Preserving Data Aggregation Scheme for Mobile Edge Computing Assisted IoT Applications

Li, Xiong; Liu, Shanpeng; Wu, Fan; Kumari, Saru; Rodrigues, Joel J. P. C.

doi:10.1109/jiot.2018.2874473

Cited by 177 publications

(120 citation statements)

References 34 publications

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“…IoT devices are responsible for acquiring, storing, and transferring data. Currently, many IoT devices are located on the edge of a network and lack of protection measures to resist various attacks [38][39][40][41][42][43]. Therefore, these devices are more vulnerable to some attacks, such as device theft, device manipulation, identity theft, data eavesdropping and so on.…”

Section: Resultsmentioning

confidence: 99%

Reusable Mesh Signature Scheme for Protecting Identity Privacy of IoT Devices

Zhang

Lim

et al. 2020

Sensors

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The development of the Internet of Things (IoT) plays a very important role for processing data at the edge of a network. Therefore, it is very important to protect the privacy of IoT devices when these devices process and transfer data. A mesh signature (MS) is a useful cryptographic tool, which makes a signer sign any message anonymously. As a result, the signer can hide his specific identity information to the mesh signature, namely his identifying information (such as personal public key) may be hidden to a list of tuples that consist of public key and message. Therefore, we propose an improved mesh signature scheme for IoT devices in this paper. The IoT devices seen as the signers may sign their publishing data through our proposed mesh signature scheme, and their specific identities can be hidden to a list of possible signers. Additionally, mesh signature consists of some atomic signatures, where the atomic signatures can be reusable. Therefore, for a large amount of data published by the IoT devices, the atomic signatures on the same data can be reusable so as to decrease the number of signatures generated by the IoT devices in our proposed scheme. Compared with the original mesh signature scheme, the proposed scheme has less computational costs on generating final mesh signature and signature verification. Since atomic signatures are reusable, the proposed scheme has more advantages on generating final mesh signature by reconstructing atomic signatures. Furthermore, according to our experiment, when the proposed scheme generates a mesh signature on 10 MB message, the memory consumption is only about 200 KB. Therefore, it is feasible that the proposed scheme is used to protect the identity privacy of IoT devices.

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Section: Resultsmentioning

confidence: 99%

Reusable Mesh Signature Scheme for Protecting Identity Privacy of IoT Devices

Zhang

Lim

et al. 2020

Sensors

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“…In [3] a scheme for privacy preserving data aggregation is proposed by Xiong Li et al for mobile computing edge assisted IoT applications , where there is a necessity of privacy of data at terminal level. This approach involves three devices namely terminal device, edge server and the public cloud center.…”

Section: Related Workmentioning

confidence: 99%

“…Hence it is suggested to have more VMs for a higher number of user nodes for efficient performance of the approach. We have compared the efficiency of our proposed EPAS scheme with few existing approaches [2,3].These approaches also proposes data aggregation methods for cloud environment and have been discussed in section II. The total time taken for the approaches compared includes time taken for encryption in user nodes, data transfer timebetween the user nodes and cloudsim and the time taken for decryption and aggregation in Data Center.…”

Section: Fig 4 Time Taken For Pgene Data Aggregation V/s Number Of Nmentioning

confidence: 99%

“…Cloud computing has become very popular due to the efficient utilization and accessability of resources by viewing them as a service [11,12]. The benefits of cloud resources can be utilized without realizing the exact location of such resources to predominently achieve data access and storage [9,10,3].The cloud computing environment also supports applications that require location independent data storage and periodic exchange of data in the cloud infrastructure [14].…”

Section: Introductionmentioning

confidence: 99%

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Secure Data Aggregation Scheme for IOT Applications in Cloud

2020

IJITEE

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While Internet of Things (IoT) technology comprises of nodes that are self-configuring and intelligent which are interconnected in a dynamic network, utilization of shared resources has been revolutionized by the cloud computing effectively reducing the cost overheadamong the cloud users.The major concerns of IoT infrastructure are reliability, performance, security and privacy. Cloud computing is popular for its unlimited storage and processing power. Cloud computing is much more matured with the capability to resolve most of the issues in IoT technology. A suitable way to address most of the issues in IoT technology is by integrating IoTparadigm into the Cloud technology.In this regard, we propose a methodology of applying our EPAS scheme for IoT applications. In our previous work[2] , we have proposed an Enhanced Privacy preserving gene based data Aggregation Scheme (EPAS) for private data transmission and storage by utilizing Enhanced P-Gene erasable data hiding approach. Enhanced P-Gene scheme ensures secure transmission and storage of private data by relying on a data aggregation scheme fully dependent on erasable data hiding technique. In the current work we analyse the applicability of the EPAS scheme for IoT applications. Experimental results show the suitability of the proposed scheme for application involving numeric data and also demonstrates performance improvement with existing proposals for data aggregation in cloud.

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“…The network enriches the way people access information, and technologies such as wireless sensor networks (WSN) [1][2][3][4], multi-hop wireless networks [5,6], and the Internet of Things (IoT) [7][8][9] have greatly advanced the intelligence level of peoples' lives. Benefiting from the development of telecommunication technologies such as 4G, 5G, and Wi-Fi, wireless and mobile communication [10][11][12] have become the most popular means of communication.…”

Section: Introductionmentioning

confidence: 99%

A Novel Authentication Protocol with Strong Security for Roaming Service in Global Mobile Networks

Liu

et al. 2019

Electronics

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In today’s society, Global Mobile Networks (GLOMONETs) have become an important network infrastructure that provides seamless roaming service for mobile users when they leave their home network. Authentication is an essential mechanism for secure communication among the mobile user, home network, and foreign network in GLOMONET. Recently, Madhusudhan and Shashidhara presented a lightweight authentication protocol for roaming application in GLOMONET. However, we found their protocol not only has design flaws, but is also vulnerable to many attacks. To address these weaknesses, this paper proposes a novel authentication protocol with strong security for GLOMONET based on previous work. The fuzzy verifier technique makes the protocol free from smart card breach attack, while achieving the feature of local password change. Moreover, the computational intractability of the Discrete Logarithm Problem (DLP) guarantees the security of the session key. The security of the protocol is verified by the ProVerif tool. Compared with other related protocols, our protocol achieves a higher level of security at the expense of small increases in computational cost and communication cost. Therefore, it is more suitable for securing the roaming application in GLOMONET.

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Privacy Preserving Data Aggregation Scheme for Mobile Edge Computing Assisted IoT Applications

Cited by 177 publications

References 34 publications

Reusable Mesh Signature Scheme for Protecting Identity Privacy of IoT Devices

Reusable Mesh Signature Scheme for Protecting Identity Privacy of IoT Devices

Secure Data Aggregation Scheme for IOT Applications in Cloud

A Novel Authentication Protocol with Strong Security for Roaming Service in Global Mobile Networks

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