Security in Fog Computing: A Novel Technique to Tackle an Impersonation Attack

Tu, Shanshan; Waqas, Muhammad; Rehman, Sadaqat Ur; Aamir, Muhammad; Rehman, Obaid Ur; Zhang, Jianbiao; Chang, Chin‐Chen

doi:10.1109/access.2018.2884672

Cited by 75 publications

(27 citation statements)

References 28 publications

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“…The authors in [259] proposed different RL based edge caching security mechanisms of anti-jamming mobile offloading, physical authentication, and friendly jamming. Taking the randomness and variation of wireless channels between mobile users and fog nodes, the literature [260] studied Qlearning based physical layer security in fog computing to improve the impersonation detection attack and the accuracy of receivers by learning from the dynamic environment. The work in [262] investigated a new ML based privacypreserving multifunctional data aggregation framework in order to overcome drawbacks of existing methods, which are high computation overhead, communication efficiency, and single aggregation function calculation.…”

Section: ) Security and Privacymentioning

confidence: 99%

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A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

et al. 2020

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Driven by the emergence of new compute-intensive applications and the vision of the Internet of Things (IoT), it is foreseen that the emerging 5G network will face an unprecedented increase in traffic volume and computation demands. However, end users mostly have limited storage capacities and finite processing capabilities, thus how to run compute-intensive applications on resource-constrained users has recently become a natural concern. Mobile edge computing (MEC), a key technology in the emerging fifth generation (5G) network, can optimize mobile resources by hosting compute-intensive applications, process large data before sending to the cloud, provide the cloud-computing capabilities within the radio access network (RAN) in close proximity to mobile users, and offer context-aware services with the help of RAN information. Therefore, MEC enables a wide variety of applications, where the real-time response is strictly required, e.g., driverless vehicles, augmented reality, robotics, and immerse media. Indeed, the paradigm shift from 4G to 5G could become a reality with the advent of new technological concepts. The successful realization of MEC in the 5G network is still in its infancy and demands for constant efforts from both academic and industry communities. In this survey, we first provide a holistic overview of MEC technology and its potential use cases and applications. Then, we outline up-to-date researches on the integration of MEC with the new technologies that will be deployed in 5G and beyond. We also summarize testbeds and experimental evaluations, and open source activities, for edge computing. We further summarize lessons learned from state-of-the-art research works as well as discuss challenges and potential future directions for MEC research.

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Section: ) Security and Privacymentioning

confidence: 99%

“…-Limited storage and computation for training DL models. DL-based privacy and security [259], [260], [263] -Inaccurate and delayed state information, e.g., CSI and energy state information.…”

Section: Privacy and Securitymentioning

confidence: 99%

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

et al. 2020

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“…Securing IoT networks is key to enable their wide adoption. While previous works consider the protection of IoT devices [1], the focus of our proposed solution is about data protection. Data security is one of the key challenges in the big data era [2].…”

Section: Related Workmentioning

confidence: 99%

“…The scheme aims at reducing the re-encryption overhead when authority revocations occur such as the case with key leakage. Thus, in case of authority revocation, 1 4 of the data needs to be re-encrypted, which reduces the computation overhead. 7) IDA-XOR 2016 [31]: This variant is based on "error code correction".…”

Section: B Rabin Information Dispersal Algorithm Ida [20]mentioning

confidence: 99%

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Preserving data security in distributed fog computing

et al. 2019

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In this paper, a novel cryptographic solution is proposed to secure data in fog computing. The solution combines the AES-GMAC operation mode with information dispersal over GF(2 w) to provide data confidentiality, integrity, and availability along with source authentication. The value of w is flexible (8, 16, 32 or 64) and it could be configured according to the fog device features. Moreover, the proposed cryptographic solution is based on the dynamic key-dependent approach, which allows for a good compromise between the security level and computational complexity. In the proposed solution, the collected data at one fog node is encrypted, authenticated and dispersed in a pseudorandom manner to its n neighbor fog nodes. For data recovery, any k of the n fragments along with the corresponding dynamic key are required to retrieve the original data. This complicates the attacker's task who needs to compromise at least k fog nodes to disclose the encrypted data. Additionally, attackers should seek the dynamic key, which is different for each input data. On the other hand, redundant fragments protect the stored data against up to (n − k) fog nodes' failure or unavailability. The security and performance analysis tests show that the proposed security scheme exhibits a high level of efficiency and robustness.

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A world of counterfeits: Knowledge to decide

Marín‐Palacios,

Botey‐Fullat,

Márquez

2024

J of Consumer Behaviour

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Counterfeiting has become a major social problem because of the consequences for consumers, businesses and governments. The objective is to describe the current state of counterfeiting research, define the main thematic areas, identify gaps and highlight key findings. A bibliometric analysis of the growing number of publications addressing the counterfeiting problem in the existing literature is conducted. The articles are taken from a search of the Scopus database. After excluding some scientific‐technological subareas, 1984 papers are analyzed, to which 23 outstanding papers were added at a later stage. In more recent years, most of the articles focus on the development of technologies. Four conceptual areas have been identified: technological development, social behavior, economic aspects and legal aspects. The latter two are the least studied. Also identified in the social area are two topics of interest that have been little addressed, namely, the effect of prior purchase experience and the development of theories describing consumer behavior towards counterfeits. The value derived from this research is the identification of new lines of research with the economic and legal area, it would be of interest to initiate a research program that studies what proportion of counterfeits are sanctioned, to which interest group the sanction is directed and if the sanction is proportional to the damage caused to society and the company. In addition, with regard to the study of counterfeit consumer behaviour, its development can provide information to guide the definition of public awareness strategies and help to adapt companies' marketing campaigns.

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Security in Fog Computing: A Novel Technique to Tackle an Impersonation Attack

Cited by 75 publications

References 28 publications

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

Preserving data security in distributed fog computing

A world of counterfeits: Knowledge to decide

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