Unboxing fog security: a review of fog security and authentication mechanisms

Kaliya, Neha; Pawar, Digambar

doi:10.1007/s00607-023-01208-3

Computing

2023

DOI: 10.1007/s00607-023-01208-3

|View full text |Cite

Unboxing fog security: a review of fog security and authentication mechanisms

Neha Kaliya

Digambar Pawar

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 126 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Intelligent creation of trusted edge data for distributed IoT; • Adaptive configuration of IoT applications in fog infrastructure; • Utilization of cryptographic schemes for secure edge processing, including server deployment in multi-user edge processing; • Intelligent management of resources in fog computing using RL, including multi-user placement of IoT services with QoS consideration [52][53][54][55][56][57][58][59][60][61][62].…”

mentioning

confidence: 99%

Autonomous Threat Response at the Edge Processing Level in the Industrial Internet of Things

Czeczot,

Rojek,

Mikołajewski

2024

Electronics

View full text Add to dashboard Cite

Industrial Internet of Things (IIoT) technology, as a subset of the Internet of Things (IoT) in the concept of Industry 4.0 and, in the future, 5.0, will face the challenge of streamlining the way huge amounts of data are processed by the modules that collect the data and those that analyse the data. Given the key features of these analytics, such as reducing the cost of building massive data centres and finding the most efficient way to process data flowing from hundreds of nodes simultaneously, intermediary devices are increasingly being used in this process. Fog and edge devices are hardware devices designed to pre-analyse terabytes of data in a stream and decide in realtime which data to send for final analysis, without having to send the data to a central processing unit in huge local data centres or to an expensive cloud. As the number of nodes sending data for analysis via collection and processing devices increases, so does the risk of data streams being intercepted. There is also an increased risk of attacks on this sensitive infrastructure. Maintaining the integrity of this infrastructure is important, and the ability to analyse all data is a resource that must be protected. The aim of this paper is to address the problem of autonomous threat detection and response at the interface of sensors, edge devices, cloud devices with historical data, and finally during the data collection process in data centres. Ultimately, we would like to present a machine learning algorithm with reinforcements adapted to detect threats and immediately isolate infected nests.

show abstract

mentioning

confidence: 99%

Autonomous Threat Response at the Edge Processing Level in the Industrial Internet of Things

Czeczot,

Rojek,

Mikołajewski

2024

Electronics

View full text Add to dashboard Cite

show abstract

TAKM-FC: Two-way Authentication with efficient Key Management in Fog Computing Environments

Gowda,

Manvi,

Malakreddy

et al. 2023

J Supercomput

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Unboxing fog security: a review of fog security and authentication mechanisms

Cited by 2 publications

References 126 publications

Autonomous Threat Response at the Edge Processing Level in the Industrial Internet of Things

Autonomous Threat Response at the Edge Processing Level in the Industrial Internet of Things

TAKM-FC: Two-way Authentication with efficient Key Management in Fog Computing Environments

Contact Info

Product

Resources

About