Evolution of Next Generation Networks and Its Contribution Towards Industry 5.0

Kiruthiga Devi, M.; Padma Priya, M.

doi:10.1002/9781119827603.ch3

Cited by 3 publications

(3 citation statements)

References 35 publications

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“…In addition, other drive data can be read if the stakeholders restrict it. No such data can be accessed without prior permission [76]- [78].…”

Section: Applications Of Cryptographic Re-encryption For Industrial T...mentioning

confidence: 99%

“…However, the use of hashing can change the perspective of classical encryption and produce relatively useless symbolic notations for malicious attackers [77]. When a system requires login, a password will be taken from the system if the hash is the same, then compared to the preserved hash value and allowed; otherwise, block it [77], [78], as shown in Figure 4. It is quite a good applicational solution, where at no point does the system fail in terms of attacks from the malicious site or has access to the data without a password.…”

Section: Applications Of Cryptographic Re-encryption For Industrial T...mentioning

confidence: 99%

“…The list of popular applications running in the recent environment for providing security to Industrial Things using cryptographic re-encryption mechanisms is mentioned as follows [76]- [78]:…”

Section: Applications Of Cryptographic Re-encryption For Industrial T...mentioning

confidence: 99%

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A New Trend in Cryptographic Information Security for Industry 5.0: A Systematic Review

Shaikh,

Hajjej,

Uslu

et al. 2024

IEEE Access

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Malicious assaults and information leakage have grown in importance in practically every area of information and communication technology (ICT) in recent years. Enterprise ledger organization, preservation, security, and protection are all greatly aided by information security (IS). To maintain their positions in the market, industries must safeguard their data and other vital assets. The main goals of this paper's systematic review, which covers the entire process of privacy protection and security, are to introduce cryptographic IS for Industry 5.0 (the Fifth Industrial Revolution) as a comprehensive solution that provides regulatory compliance and IS policies in addition to the industrial goals. The review covers the four main areas: (i) recognizing the need for frameworks to be developed for a secure Industry 5.0 lifecycle; (ii) emphasizing security guidelines, procedures, and countermeasures for Industry 5.0; (iii) applying control, access, and availability in real-time; and (iv) proposing a futuristic architecture for industrial information security. Furthermore, the analysis of previously published state-of-the-art techniques is presented in this paper. These techniques survive with various limitations and challenges, including intercommunication exchange, fine-grained control access, and interconnectivity-related issues, which affect the adoption of an IS in industrial programmes. At the end of this systematic review, we investigated a few open research problems and mentioned those that are involved in the design of cryptographic re-encryption-enabled IS for future Industry 5.0 developments.

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“…In addition, other drive data can be read if the stakeholders restrict it. No such data can be accessed without prior permission [76]- [78].…”

Section: Applications Of Cryptographic Re-encryption For Industrial T...mentioning

confidence: 99%

Section: Applications Of Cryptographic Re-encryption For Industrial T...mentioning

confidence: 99%

See 1 more Smart Citation

A New Trend in Cryptographic Information Security for Industry 5.0: A Systematic Review

Shaikh,

Hajjej,

Uslu

et al. 2024

IEEE Access

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Industry 5.0: a review of emerging trends and transformative technologies in the next industrial revolution

Rijwani,

Kumari,

Srinivas

et al. 2024

Int J Interact Des Manuf

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GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement

Han,

Fu,

Wang

et al. 2024

PeerJ Computer Science

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Edge computing has attracted wide attention due to its ultra-low latency services, as well as the prevalence of smart devices and intelligent applications. Edge server placement (ESP) is one of the key issues needed to be addressed for effective and efficient request processing, by deciding which edge stations to equip with limited edge resources. Due to NP-hardness of ESP, some works have designed meta-heuristic algorithms for solving it. While these algorithms either exploited only one kind of meta-heuristic search strategies or separately perform two different meta-heuristic algorithms. This can result in limit performance of ESP solutions due to the “No Free Lunch” theorem. In addition, existing algorithms ignored the computing delay of edge servers (ESs) on request process, resulting in overestimation of the service quality. To address these issues, in this article, we first formulate ESP problem with the objective of minimizing the overall response time, considering heterogeneous edge servers with various service capacity. Then, to search effective or even the best ESP solutions, we propose a hybrid meta-heuristic algorithm (named GP4ESP) by taking advantage of both the powerful global search ability of genetic algorithm (GA) and the fast convergence of particle swarm optimization (PSO). GP4ESP effectively fuses the merits of GA and PS by integrating the swarm cognition of PSO into the evolutionary strategy of GA. At last, we conducted extensive simulation experiments to evaluate the performance of GP4ESP, and results show that GP4ESP achieves 18.2%–20.7% shorter overall response time, compared with eleven up-to-date ESP solving algorithms, and the performance improvement is stable as the scale of ESP is varied.

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Evolution of Next Generation Networks and Its Contribution Towards Industry 5.0

Cited by 3 publications

References 35 publications

A New Trend in Cryptographic Information Security for Industry 5.0: A Systematic Review

A New Trend in Cryptographic Information Security for Industry 5.0: A Systematic Review

Industry 5.0: a review of emerging trends and transformative technologies in the next industrial revolution

GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement

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