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Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
(
Elsevier
, 2021 , Article)
Big data enables the optimization of complex supply chains through Machine Learning (ML)-based data analytics. However, data analytics comes with challenges such as the loss of control and privacy leading to increased risk ...
Applying zero trust security principles to defence mechanisms against data exfiltration attacks
(
wiley
, 2021 , Book chapter)
The zero-trust principle explicitly verifies that the authentication and authorization of all actions are performed regardless of the requesting user's credentials or permissions. This chapter presents the details of a ...
A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
This paper presents a Sensing-as-a-Service run-time Service Oriented Architecture (SOA), called 3SOA, for the development of Internet of Things (IoT) applications. 3SOA aims to allow interoperability among various IoT ...
Advanced Deep Learning for Resource Allocation and Security Aware Data Offloading in Industrial Mobile Edge Computing
(
Mary Ann Liebert Inc.
, 2021 , Article)
The Internet of Things (IoT) is permeating our daily lives through continuous environmental monitoring and data collection. The promise of low latency communication, enhanced security, and efficient bandwidth utilization ...