K-anonymous location-based fine-grained access control for mobile cloud

Baseri, Yaser; Hafid, Abdelhakim; Cherkaoui, Soumaya

doi:10.1109/ccnc.2016.7444868

Cited by 11 publications

(4 citation statements)

References 18 publications

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“…The comprehension of privacy policies L. M. Zhou et al, 2018 has also evolved into a research focal point, aiming to advance user-friendly privacy con gurations. Furthermore, cryptography, security protocols, and certi cate management are deemed crucial for data transfer and storage, while security concerns pertaining to malware, exploits, and mobile operating systems also warrant attention Baseri et al, 2016 . Research is also delving into blockchain and decentralized technologies to bolster security and data transparency. In summary, this study delineates primary research themes within the sphere of data security and privacy protection, observing signi cant growth and attention in this eld in recent years.…”

Section: Discussionmentioning

confidence: 99%

Data Security and Privacy Research Trends: LDA Topic Modeling

Zhao,

Wang,

Zhou

2023

Preprint

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With the rapid advancement of big data technologies, the need for robust data security and privacy measures has intensified. Big data technologies have revolutionized the collection and analysis of a vast volume of research literature, offering unparalleled avenues for scholarly inquiry. Identifying prevalent research topics and discerning developmental trends is paramount, especially when grounded in an expansive literature base. This study examined abstracts and author keywords from 4,311 pertinent articles published between 1980 and 2023, sourced from the Web of Science core collection. The content of abstracts and author keywords underwent LDA theme modeling analysis. Consequently, five predominant research topics emerged: security and privacy measures for mobile applications, encryption protocols tailored for image security, privacy considerations in healthcare, intricate access control combined with security in cloud computing through attribute encryption, and ensuring security and information integrity for big data within the Internet of Things framework. The LDA model proficiently pinpoints these salient topics, assisting researchers in comprehending the current state of the domain and guiding potential future research trajectories.

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Section: Discussionmentioning

confidence: 99%

Data Security and Privacy Research Trends: LDA Topic Modeling

Zhao,

Wang,

Zhou

2023

Preprint

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“…They emphasize on the usage of decentralized authority for limiting the identity leakage and extends to generalize the file access control by privilege control on the cloud data by using fine tune granular access to the data stored on the cloud. Jia-Lun Tsai et.al [5] addressed the privacy resilient data concerns in the Smart card generators (SCG) they proposed the scheme to reduce the usage of higher memory and bounded the secure key generators for distribution of keys in cloud environment and restricted the interaction of cloud service provider to the Scg. Yaser Baseri et.al [6] investigated the Location based service for attribute based control for the dynamic mobile cloud environment.…”

Section: Related Workmentioning

confidence: 99%

Secured Processing o f Data Over Cloud u sing Disjoint Multi Attribute Authority Scheme f or Key Generation

Banasode*,

Padmannavar

2020

IJITEE

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Cloud computing being the extensive technology used across globe for data sharing. The data may vary from small file to a highly confidential file consisting of various sensitive information stored in it. Since the cloud services are provided by the third party vendors, users are very much concerned about the security and privacy of the data and data access details. The users wants their traceability to be hidden by the cloud vendors. The biggest challenge is to share the data in a most secured way by encrypting and also preserving the anonymity of the users in cloud from the vendors. This paper addresses the issue by proposing a multi attribute authority in key generations of users, where the few sub sets of attributes will be used by multiple attribute authorities randomly and hence masking of the selection of attributes from various authorities and providing a mechanism for efficient data distribution in cloud by preserving the anonymity of the users.

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“…One of the most important problems is that it does not create problems in the systems that work on their own.Additionally, FGAC has problems in identifying and distinguishing between the operations produced when cooperating with complex structures. Another important problem is that when the operations should be updated according to the changing environment needs, identifying the policies in a semantic manner and formalizing them, applying the policies in a secure manner, and analyzing the policies in a coherent manner becomes much harder [85][86][87][88]. Review: As the operations are performed in user-based fashion, FGAC has a low level of Privileges/Capabilities Discover.…”

Section: Fine Grained Access Controlmentioning

confidence: 99%

“…It is used for Attribute Based Encryption (ABE) processes and allows the user to perform encryptingdecrypting processes. It also performs the operations on the data via a private key and a cipher text [87,[95][96][97][98]. It is separated into two categories as KP-ABE and CP-ABE [21,[99][100][101][102].…”

Section: Attribute Based Encryption Fine Grained Access Controlmentioning

confidence: 99%

Survey on Access Control Mechanisms in Cloud Computing

Karataş

Akbulut

2018

JCSM

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The benefits that Internet-based applications and services have given to the end user with today's cloud computing technology are very remarkable. The distributed services instantly scaled over the Internet provided by cloud computing can be achieved by using some mechanisms in the background. It is a critical task for end users to control access to resources because lack of control often leads to security risks. In addition, this may cause systems to fail. This paper describes seven different access control mechanisms used in cloud computing platforms for different purposes. Besides, the advantages and disadvantages of various models developed from previous service-based architectures and used for cloud computing are detailed and classified. During the assessments, NIST's metrics were taken as a reference, and in the study, 109 articles from the past decade were examined. We also compared our research with the existing survey papers.

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K-anonymous location-based fine-grained access control for mobile cloud

Cited by 11 publications

References 18 publications

Data Security and Privacy Research Trends: LDA Topic Modeling

Data Security and Privacy Research Trends: LDA Topic Modeling

Secured Processing o f Data Over Cloud u sing Disjoint Multi Attribute Authority Scheme f or Key Generation

Survey on Access Control Mechanisms in Cloud Computing

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