posted by system || 1363 views || tracked by 1 users: [display]

Federated Learning in IOT Cybersecurity 2021 : PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things

FacebookTwitterLinkedInGoogle

Link: https://peerj.com/special-issues/88-fed-cyber
 
When N/A
Where N/A
Abstract Registration Due Oct 1, 2021
Submission Deadline Nov 19, 2121
 

Call For Papers

In traditional machine learning, the data from different sources has to be moved to a central location, where the machine learning models will get trained to understand the patterns existing in the data. Due to the increased applications of Internet of Things (IoT)-based applications, sensitive data collected by IoT devices is being transferred to the cloud for training machine learning algorithms to understand the patterns in the data. The sensitivity of these data can attract malicious users into hacking attempts. The solution to this problem is a machine learning model which gets trained at the source of the data, instead of being trained at central locations like the cloud. Federated Learning is a recent advancement of machine learning, where, instead of moving the data to the central cloud, the machine learning model itself is moved to the source of the data. Hence, Federated Learning has the potential to solve several issues regarding cyber security in IoT based applications.


Full submissions of accepted abstracts should be completed by November 19th, 2021. Authors that require more time should contact communities@peerj.com to request an extension.

Topics include:

Federated Learning For Intrusion Detection In IoT
Federated Learning With Edge Computing For Cybersecurity In IoT
Federated Learning With Blockchain For Cybersecurity In IoT
Federated Learning For Security And Privacy In IoT
Federated Learning For Anomaly Detection In IoT
Big Data Analytics With Federated Learning For Cybersecurity In IoT
Federated Learning For Smart Grids
Federated Learning For Industrial IoT
Federated Learning For Energy Efficiency In IoT
Federated Learning For Privacy Preservation Of The Users In Social Media Apps
Federated Learning For 5G And Beyond

EDITORS
Dr Mamoun Alazab (Charles Darwin University) and Dr Thippa Reddy Gadekallu (Vellore Institute of Technology)

Related Resources

ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
SENSORS Special Issue 2022   'Next Generation of Secure and Resilient Healthcare Data Processing'
ACM--ICDLT--Ei, Scopus 2022   ACM--2022 6th International Conference on Deep Learning Technologies (ICDLT 2022)--Ei Compendex, Scopus
ICSMLE 2022   International Conference on Statistics and Machine Learning in Electronics
Computer SI on SE4RAI 2023   IEEE Computer - Special Issue on Software Engineering for Responsible AI
DLIS 2022   Deep Learning for IoT Security - Frontiers in Big Data Journal
IEEE--ICCIA--EI, Scopus 2022   IEEE--2022 7th International Conference on Computational Intelligence and Applications (ICCIA 2022)--EI Compendex, Scopus
SCI,EI,SCOPUS 2022   2022 International Conference on Computer Science and 3D Printing Technologies (ICCS3PT 2022)
Sensors-SI-ISHMA 2021   [Sensors, IF 3.275] Special Issue on Intelligent Sensors for Human Motion Analysis
ITCC--Ei and Scopus 2022   2022 4th International Conference on Information Technology and Computer Communications (ITCC 2022)--EI Compendex, Scopus