Provable Secure Group Key Establishment Scheme for Fog Computing

Chen, Wen-Chin; Huang, Yin-Tzu; Wang, Sheng‐De

doi:10.1109/access.2021.3130471

Cited by 6 publications

(12 citation statements)

References 37 publications

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“…In their article, there was no comparison of the significant security and functionality enhancements that were included. Using elliptic curve cryptography, Chen et al 15 introduced a mutual authentication group key establishment method applicable to the fog computing architecture. After both parties had successfully authenticated each other, the cloud server was able to hand off the burden of additional computing to the fog node.…”

Section: Literature Reviewmentioning

confidence: 99%

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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Section: Literature Reviewmentioning

confidence: 99%

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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“…The threat model we consider is the Canetti-Krawczyk (CK) adversary model [21][22][23], which is defined as follows:…”

Section: Threat Modelmentioning

confidence: 99%

“…ECC is a type of public key cryptography that offers security equivalent to more widely used cryptosystems such as the Rivest-Shamir-Adleman (RSA) algorithm while requiring fewer bits for computation [11,22]. Hence, the ECC is ideal for systems that are limited in terms of storage, bandwidth and power [11].…”

Section: Elliptic Curve Cryptographymentioning

confidence: 99%

Secure Vehicular Platoon Management against Sybil Attacks

Junaidi

2022

Sensors

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The capacity of highways has been an ever-present constraint in the 21st century, bringing about the issue of safety with greater likelihoods of traffic accidents occurring. Furthermore, recent global oil prices have inflated to record levels. A potential solution lies in vehicular platooning, which has been garnering attention, but its deployment is uncommon due to cyber security concerns. One particular concern is a Sybil attack, by which the admission of fake virtual vehicles into the platoon allows malicious actors to wreak havoc on the platoon itself. In this paper, we propose a secure management scheme for platoons that can protect major events that occur in the platoon operations against Sybil attacks. Both vehicle identity and message exchanged are authenticated by adopting key exchange, digital signature and encryption schemes based on elliptic curve cryptography (ECC). Noteworthy features of the scheme include providing perfect forward secrecy and both group forward and backward secrecy to preserve the privacy of vehicles and platoons. Typical malicious attacks such as replay and man-in-the-middle attacks for example can also be resisted. A formal evaluation of the security functionality of the scheme by the Canetti–Krawczyk (CK) adversary and the random oracle model as well as a brief computational verification by CryptoVerif were conducted. Finally, the performance of the proposed scheme was evaluated to show its time and space efficiency.

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“…Unquestionably, fog computing is a flexible, resource‐rich, and variable environment‐adapted network for efficient data sharing. However, its widespread distribution and open structural design expose it to various threats, jeopardizing the operation's security and safety 10 . In the IoT, fog nodes commonly comprise machines where information or data sharing takes place for the entire model based on trust.…”

Section: Introductionmentioning

confidence: 99%

“…However, its widespread distribution and open structural design expose it to various threats, jeopardizing the operation's security and safety. 10 In the IoT, fog nodes commonly comprise machines where information or data sharing takes place for the entire model based on trust. As a result, all processes and apps operating on fog benefit from efficient data sharing based on trust.…”

Section: Introductionmentioning

confidence: 99%

Security analysis of fog computing environment for ensuring the security and privacy of information

Gola,

Arya,

Khan

et al. 2023

Trans Emerging Tel Tech

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In fog computing, the management, measurement, configuration, control, communication, and storage tasks are carried out collaboratively by one or more near‐user or end users. Fog computing is widely utilized in major application domains like centralized fog utilized in a shopping complex (UXFog), agriculture domain (FoAgro), health‐care domain (MediFog), vehicle parking system, and energy Lattices. The execution of fog computing at the system's edge provides the elevated quality of service (QoS), promotes area mindfulness, and minimal dormancy for the continuous and online streaming application areas. Fog networking is extremely concerned about wireless system security due to the prevalence of wireless communication in fog computing. Sniffer attacks, Jamming assaults, and several other intrusions are considered examples of security issues. While considering network storage issues, factors like interaction management, dynamic workload, and low dormancy are the most challenging aspects of designing the network model. Thus, privacy and security issues are crucial while designing the network model, accomplished through intrusion detection, access control and authentication methods. Therefore, the security analysis of fog computing based on authentication, access control and intrusion detection mechanisms are analyzed in this research to design a novel technique with enhanced security and privacy features for sharing and accessing information.

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Provable Secure Group Key Establishment Scheme for Fog Computing

Cited by 6 publications

References 37 publications

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

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

Secure Vehicular Platoon Management against Sybil Attacks

Security analysis of fog computing environment for ensuring the security and privacy of information

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