[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review

S Rani, A Kataria, S Kumar, P Tiwari - Knowledge-based systems, 2023 - Elsevier
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …

A comprehensive study of DDoS attacks over IoT network and their countermeasures

P Kumari, AK Jain - Computers & Security, 2023 - Elsevier
IoT offers capabilities to gather information from digital devices, infer from their results, and
maintain and optimize these devices in different domains. IoT is heterogeneous in nature …

A survey on the internet of things (IoT) forensics: challenges, approaches, and open issues

M Stoyanova, Y Nikoloudakis… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Today is the era of the Internet of Things (IoT). The recent advances in hardware and
information technology have accelerated the deployment of billions of interconnected, smart …

A survey on access control in the age of internet of things

J Qiu, Z Tian, C Du, Q Zuo, S Su… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the development of Internet-of-Things (IoT) technology, various types of information,
such as social resources and physical resources, are deeply integrated for different …

An analysis of strategies for adopting blockchain technology in the fresh product supply chain

XY Wu, ZP Fan, BB Cao - International Journal of Production …, 2023 - Taylor & Francis
This paper investigates the strategies for adopting blockchain technology in the fresh
product supply chain (FPSC) consisting of a supplier, a third-party logistics service provider …

IoT malicious traffic identification using wrapper-based feature selection mechanisms

M Shafiq, Z Tian, AK Bashir, X Du, M Guizani - Computers & Security, 2020 - Elsevier
Abstract Machine Learning (ML) plays very significant role in the Internet of Things (IoT)
cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms …

A sharding scheme-based many-objective optimization algorithm for enhancing security in blockchain-enabled industrial internet of things

X Cai, S Geng, J Zhang, D Wu, Z Cui… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
While the industrial Internet of Things (IIoT) can support efficient control of the physical world
through large amounts of industrial data, data security has been a challenge due to various …

Exploring the hyperledger blockchain technology disruption and barriers of blockchain adoption in petroleum supply chain

S Kumar, MK Barua - Resources Policy, 2023 - Elsevier
Blockchain is an emerging technology that can build technology innovation on core front line
operations in the petroleum industry. In the present study, we explore the research …

LEChain: A blockchain-based lawful evidence management scheme for digital forensics

M Li, C Lal, M Conti, D Hu - Future Generation Computer Systems, 2021 - Elsevier
Lawful evidence management in digital forensics is of paramount importance in police
investigations because such evidence is used to convict suspects of crimes. Existing studies …

Dilated transaction access and retrieval: Improving the information retrieval of blockchain-assimilated internet of things transactions

G Amudha - Wireless Personal Communications, 2022 - Springer
Blockchain technology is designed to improve the security features and information access
of a transaction in a connected Internet of Things platform. The private information retrieval …