MASFOG: An Efficient Mutual Authentication Scheme for Fog Computing Architecture

Imine, Youcef; Kouicem, Djamel Eddine; Bouabdallah, Abdelmadjid; Lounis, Ahmed

doi:10.1109/trustcom/bigdatase.2018.00091

Cited by 18 publications

(4 citation statements)

References 12 publications

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“…Fog computing is a more interesting area to the researchers since it provides more advantages than cloud computing [ 23 , 24 , 25 ]. The work in [ 26 , 27 ] uses fog computing in an IoT environment, while [ 28 , 29 ] use fog computing in a VANET environment.…”

Section: Related Workmentioning

confidence: 99%

“…The author in [ 26 ] proposes mutual authentication between fog nodes and users at the edge of the network using blockchain technology and a secret sharing technique. A fog node would maintain a blockchain that allows a user to authenticate any fog node in the architecture (fog nodes would be able to establish mutual authentication with each other).…”

Section: Related Workmentioning

confidence: 99%

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Privacy-Preserving Vehicular Rogue Node Detection Scheme for Fog Computing

Al-Otaibi

Al-Nabhan

Tian

2019

Sensors

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In the last few decades, urban areas across the world have experienced rapid growth in transportation technology with a subsequent increase in transport-related challenges. These challenges have increased our need to employ technology for creating more intelligent solutions. One of the essential tools used to address challenges in traffic is providing vehicles with information about traffic conditions in nearby areas. Vehicle ad-hoc networks (VANETs) allow vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication with the aim of providing safe and efficient transportation. Since drivers might make life-critical decisions based on information provided by other vehicles, dealing with rogue vehicles that send invalid data or breach users’ privacy is an essential security issue in VANETs. This paper proposes a novel privacy-preserving vehicular rogue node detection scheme using fog computing. The proposed scheme improves vehicle privacy, communication between vehicles, and computation efficiency by avoiding the exchange of traffic data between vehicles, allowing communication only through roadside units (RSUs). This scheme also proposes an RSU authentication mechanism, along with a mechanism that would allow RSUs to detect and eliminate vehicles providing false traffic data, which will improve the accuracy and efficiency of VANETs. The proposed scheme is analyzed and evaluated using simulation, which presents significant improvements for data processing, accurately detecting rogue vehicles, minimizing overhead, and immunizing the system against colluding vehicles.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Privacy-Preserving Vehicular Rogue Node Detection Scheme for Fog Computing

Al-Otaibi

Al-Nabhan

Tian

2019

Sensors

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“…Youcef et.al [12] proposed a novel, efficient authentication technique to implement a mutual authentication in fog computing. This scheme ensures the registration of fog nodes and fog users at the cloud level.…”

Section: Fig 2 Flow Of Authenticationmentioning

confidence: 99%

Enhanced Mutual Authentication Technique using Id (Matid) in Fog Computing

Sujatha*¹,

Sharmila²

2019

IJRTE

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The expanded development of cloud computing is emerging as a new paradigm is known as Fog Computing. The focus of the fog is to achieve fine data processing in the cloud. Apart from everything, authentication is the primary security guard to the system. Since fog is a booming paradigm, the traditional authentication techniques lacks in latency issues and fails to satisfy the requirements of fog computing. In this paper, a new Mutual Authentication Technique using ID (MATID) is introduced to entrust complete mutual authentication between fog users and fog nodes. In this technique, fog users and fog nodes have to register themselves in a common Identity Issuer (IDI) to get their authentication message respectively to collaborate in the network. Fog users and fog nodes have to perform only simple hash functions and XOR operations. Our technique mainly focuses on mutual authentication, trustworthiness and reduced computational and communication costs. It ensures higher security and easily adapted to the fog computing environment

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“…Identities sent over a public channel and hence prone to attacks Imine et al 26 The token-based approach based on the Ethereum platform -Remix IDE Evaluated was restricted to registration phase, addition and removal of fog devices Borgohain et al 10 Registration credentials are stored at the cloud level, and authentication is done at the fog level Dependence on the cloud makes it partially centralized. Moreover, no simulation described Patwary et al 27 Blockchain-based authentication model for fog devices while considering their dynamic nature.…”

Section: Heterogeneity Of Devices Introduces Complexity Overheadmentioning

confidence: 99%

Fog‐Sec: Secure end‐to‐end communication in fog‐enabled IoT network using permissioned blockchain system

Babu,

Rao,

Swain

et al. 2023

Int J Network Mgmt

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The technological integration of the Internet of Things (IoT)‐Cloud paradigm has enabled intelligent linkages of things, data, processes, and people for efficient decision making without human intervention. However, it poses various challenges for IoT networks that cannot handle large amounts of operation technology (OT) data due to physical storage shortages, excessive latency, higher transfer costs, a lack of context awareness, impractical resiliency, and so on. As a result, the fog network emerged as a new computing model for providing computing capacity closer to IoT edge devices. The IoT‐Fog‐Cloud network, on the other hand, is more vulnerable to multiple security flaws, such as missing key management problems, inappropriate access control, inadequate software update mechanism, insecure configuration files and default passwords, missing communication security, and secure key exchange algorithms over unsecured channels. Therefore, these networks cannot make good security decisions, which are significantly easier to hack than to defend the fog‐enabled IoT environment. This paper proposes the cooperative flow for securing edge devices in fog‐enabled IoT networks using a permissioned blockchain system (pBCS). The proposed fog‐enabled IoT network provides efficient security solutions for key management issues, communication security, and secure key exchange mechanism using a blockchain system. To secure the fog‐based IoT network, we proposed a mechanism for identification and authentication among fog, gateway, and edge nodes that should register with the blockchain network. The fog nodes maintain the blockchain system and hold a shared smart contract for validating edge devices. The participating fog nodes serve as validators and maintain a distributed ledger/blockchain to authenticate and validate the request of the edge nodes. The network services can only be accessed by nodes that have been authenticated against the blockchain system. We implemented the proposed pBCS network using the private Ethereum 2.0 that enables secure device‐to‐device communication and demonstrated performance metrics such as throughput, transaction delay, block creation response time, communication, and computation overhead using state‐of‐the‐art techniques. Finally, we conducted a security analysis of the communication network to protect the IoT edge devices from unauthorized malicious nodes without data loss.

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MASFOG: An Efficient Mutual Authentication Scheme for Fog Computing Architecture

Cited by 18 publications

References 12 publications

Privacy-Preserving Vehicular Rogue Node Detection Scheme for Fog Computing

Privacy-Preserving Vehicular Rogue Node Detection Scheme for Fog Computing

Enhanced Mutual Authentication Technique using Id (Matid) in Fog Computing

Fog‐Sec: Secure end‐to‐end communication in fog‐enabled IoT network using permissioned blockchain system

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