Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber SystemsImplementation of Robust Privacy-Preserving Machine Learning with Intrusion Detection and Cybersecurity Protection Mechanism

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems:... [In this work, data mining, and cloud computing problems such as privacy protection, Intrusion detection, identification system have been realizing. Social-Cybersecurity is an evolving science-focused field for characterizing, interpreting, and predicting improvements in human behavior, social, cultural, political outcomes, and development. The cyber-infrastructure is required to sustain its critical existence cyber-mediated knowledge climate under shifting circumstances and cyber threats that are immediate or imminent. When the data moves from the local cloud to another cloud, some security issues automatically arise. At this stage, an advanced robust security system with advanced encryption or decryption algorithm is necessary. At the same time, intrusion may attack the cloud for hacking or modifying the existing information. There an advanced deep learning algorithm is essential to make the cloud efficient. The Logistic net regression Optimization is proposed for cybersecurity and protection. A final performance measures, estimating accuracy,0.952 sensitivity of 0.39, Recall, F1 score 0.54 and processing time.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber SystemsImplementation of Robust Privacy-Preserving Machine Learning with Intrusion Detection and Cybersecurity Protection Mechanism

Part of the Intelligent Systems Reference Library Book Series (volume 210)
Editors: Kumar, Pardeep; Obaid, Ahmed Jabbar; Cengiz, Korhan; Khanna, Ashish; Balas, Valentina Emilia
Ravikanth, R.; Jacob, T. Prem
A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems — Aug 24, 2021
Download PDF
18 pages

Loading next page...
 
/lp/springer-journals/a-fusion-of-artificial-intelligence-and-internet-of-things-for-6pkyS067q0
Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-030-76652-8
Pages
183 –201
DOI
10.1007/978-3-030-76653-5_10
Publisher site
See Chapter on Publisher Site

Abstract

[In this work, data mining, and cloud computing problems such as privacy protection, Intrusion detection, identification system have been realizing. Social-Cybersecurity is an evolving science-focused field for characterizing, interpreting, and predicting improvements in human behavior, social, cultural, political outcomes, and development. The cyber-infrastructure is required to sustain its critical existence cyber-mediated knowledge climate under shifting circumstances and cyber threats that are immediate or imminent. When the data moves from the local cloud to another cloud, some security issues automatically arise. At this stage, an advanced robust security system with advanced encryption or decryption algorithm is necessary. At the same time, intrusion may attack the cloud for hacking or modifying the existing information. There an advanced deep learning algorithm is essential to make the cloud efficient. The Logistic net regression Optimization is proposed for cybersecurity and protection. A final performance measures, estimating accuracy,0.952 sensitivity of 0.39, Recall, F1 score 0.54 and processing time.]

Published: Aug 24, 2021

Keywords: Logistic net regression; Auto stack FCNN; AES; Cybersecurity; Machine learning

There are no references for this article.