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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 ...
Secure Bluetooth Communication in Smart Healthcare Systems: A Novel Community Dataset and Intrusion Detection System
(
MDPI
, 2022 , Article)
Smart health presents an ever-expanding attack surface due to the continuous adoption of a broad variety of Internet of Medical Things (IoMT) devices and applications. IoMT is a common approach to smart city solutions that ...
Towards robust autonomous driving systems through adversarial test set generation
(
ISA - Instrumentation, Systems, and Automation Society
, 2023 , Article)
Correct environmental perception of objects on the road is vital for the safety of autonomous driving. Making appropriate decisions by the autonomous driving algorithm could be hindered by data perturbations and more ...
Detection of Botnet Attacks against Industrial IoT Systems by Multilayer Deep Learning Approaches
(
Hindawi Limited
, 2022 , Article)
Industry 4.0 is the next revolution in manufacturing technology that is going to change the production and distribution of goods and services within the following decade. Powered by different enabling technologies that are ...
Bringing Coordination Languages Back to the Future Using Blockchain Smart Contracts
(
Association for Computing Machinery
, 2021 , Conference Paper)
This paper presents a blockchain extension of the run-time Sensing as a Service SOA (3SOA) approach presented in [5]. 3SOA defines a practical approach for implementing service-oriented Internet of Things (IoT) using ...
A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption
(
Elsevier B.V.
, 2021 , Article)
Data security is a challenge for end-users of cloud services as the users have no control over their data once it is transmitted to the cloud. A potentially corrupt cloud service provider can obtain the end-users’ data. ...
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 ...
Policy specification and verification for blockchain and smart contracts in 5G networks
(
Korean Institute of Communications Information Sciences
, 2020 , Article)
Blockchain offers unprecedented opportunities for innovation in financial transactions. A whole new world of opportunities for banking, lending, insurance, money transfer, investments, and stock markets awaits. However, ...