Anonymous Communications for Secure Device-to-Device-Aided Fog Computing: Architecture, Challenges, and Solutions

Gope, Prosanta; Lee, Jemin; Hsu, Ruei-Hau; Quek, Tony Q. S.

doi:10.1109/mce.2019.2892285

Cited by 23 publications

(12 citation statements)

References 9 publications

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“…The physical interface should be protected to software access to hardware. D2D system should be protected using intrusion detection systems by Flooding attacks, like, sleep deprivation attacks at multiple levels [108], [109]. In mid-level solutions, replication attacks are avoided by presenting time stamp and section check through the hash chain.…”

Section: Countermeasures Solutions To Security Threats In Ddmentioning

confidence: 99%

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A Survey on Security and Privacy Challenges in Device Discovery for Next-Generation Systems

et al. 2020

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Device to Device (D2D) communications is a candidate technology for the fifth-generation (5G) and beyond mobile networks and certainly that results in high throughput, less energy consumption, reduce delay, and data traffic offload. Proximity services are the key enablers of D2D communications. A D2D technology boosts the performance and capacity of a conventional cellular system through the proximity services. To initiate the proximity services, Device Discovery (DD) is one of the the primary tasks. A DD makes the decision for effective D2D communications in terms of accuracy, speed, and minimum energy consumption. To discover the neighbor devices, the discovery signal is transmitted directly or through some access points. The discovery signal is affected by invaders during transmission which causes inaccuracy, energy consumption, and latency. Therefore, security and privacy issues must be addressed, especially in discovery signal transmission. In this paper, security and privacy issues in DD are highlighted. It is comprehensive and proves that in-band is much better than out-band with practical and technological reasons. To enhance the scope of the research, network level, and system level Security and Privacy (S&P) issues in the distributed and centralized systems environment with or without central management are surveyed. Along with an extensive survey is provided for the most recent work on DD concerning security and privacy issues, and comparison among in-band and out-band DD is performed. In the end, open issues are identified as future work on DD security and privacy in D2D communications. It is a novel survey in terms of security and privacy aspects of DD with possible suggested solutions for readers' motivation.

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Section: Countermeasures Solutions To Security Threats In Ddmentioning

confidence: 99%

“…In [109], authors suggested encoding authentication solution and architecture. The suggested solution are centralized cloud server included authentication, edge devices supported authentication, and network access devices assisted authentication.…”

Section: A Encoding Authentication In Discoverymentioning

confidence: 99%

A Survey on Security and Privacy Challenges in Device Discovery for Next-Generation Systems

et al. 2020

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“…Based on literature [9,27], we propose a distributed fine-grained access control scheme with outsourced computation in fog computing for electronic health records. Gope et al [28] proposed a new secure communication architecture for fog computing. The authors introduced an extended concept of fog computing.…”

Section: Introductionmentioning

confidence: 99%

“…Edge device and fog device were regarded as extensive fog computing layer. Moreover, the scheme in literature [28] can reduce the communication cost. The proposed scheme in literature [28] is suitable for resourcelimited IOT device because they use lightweight cryptographic operations, such as one-way hash function and xor operations.…”

Section: Introductionmentioning

confidence: 99%

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A Distributed Access Control with Outsourced Computation in Fog Computing

Wang

et al. 2019

Security and Communication Networks

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With the rapid development of information technology and the Internet of Things Technology (IOT), data security and healthy privacy are getting a lot of attention. In order to store, access, and share electronic health records, storage of this data is transferred to a third-party-cloud server. The security and privacy of electronic health records stored at date center or cloud server are not guaranteed. Before being sent to date center or cloud server, this data should be encrypted. Designing an efficient and secure fine-grained access control strategy for personal health records is facing enormous challenges. Security and privacy for electronic health records are very important because the electronic health data which plays an important role in medical server and treatment is directly associated with a particular patient. Attribute-based encryption (ABE) can effectively achieve fine-grained access control. However, the computation of bilinear pairings requires a large amount of computation overhead in ABE scheme. In order to decrease the computational overhead and ensure the confidentiality of electronic health records, a distributed fine-grained access control scheme with outsourced computation for IOT is proposed in this paper. Little calculation is executed by the receiver and sender in our proposed scheme. Outsourcing computing reduces the computing burden. The analyses of safety and performance show that our proposed scheme is safe and effective compared with previous schemes.

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A secure signature‐based access control and key management scheme for fog computing‐based IoT‐enabled big data applications

Karnatak,

Mishra,

Tripathi

et al. 2023

Security and Privacy

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Fog computing is a distributed computing architecture, as opposed to depending entirely on centralized cloud servers, which brings the processing of data, functionality of an application, and its storage closer to the network's edge, where it can be closer to the data source or an end‐user device. Some of the potential applications of the fog computing‐based Internet of Things (IoT)‐enabled system are smart healthcare, smart agriculture, smart manufacturing, intelligent transportation system, and smart cities (i.e., in parking management, lighting control, traffic control, and security of civilians). The fog computing‐based IoT‐enabled system is vulnerable to various attacks. Therefore, one needs to deploy security mechanisms, like authentication, access control, key management, and malware detection, in order to secure its communication. In this article, we design a signature‐based access control and key management scheme for fog computing‐based IoT‐enabled big data applications (in short, SBAC‐FC). A detailed security analysis and performance comparison of the SBAC‐FC with other similar existing schemes reveal that the SBAC‐FC surpasses the existing schemes in terms of security and functionality characteristics, as well as complexity overheads.

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Anonymous Communications for Secure Device-to-Device-Aided Fog Computing: Architecture, Challenges, and Solutions

Cited by 23 publications

References 9 publications

A Survey on Security and Privacy Challenges in Device Discovery for Next-Generation Systems

A Survey on Security and Privacy Challenges in Device Discovery for Next-Generation Systems

A Distributed Access Control with Outsourced Computation in Fog Computing

A secure signature‐based access control and key management scheme for fog computing‐based IoT‐enabled big data applications

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