Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review

M Abdullahi, Y Baashar, H Alhussian, A Alwadain… - Electronics, 2022 - mdpi.com
In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0),
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …

Robotics cyber security: Vulnerabilities, attacks, countermeasures, and recommendations

JPA Yaacoub, HN Noura, O Salman… - International Journal of …, 2022 - Springer
The recent digital revolution led robots to become integrated more than ever into different
domains such as agricultural, medical, industrial, military, police (law enforcement), and …

PPSF: A privacy-preserving and secure framework using blockchain-based machine-learning for IoT-driven smart cities

P Kumar, R Kumar, G Srivastava… - … on Network Science …, 2021 - ieeexplore.ieee.org
With the evolution of the Internet of Things (IoT), smart cities have become the mainstream of
urbanization. IoT networks allow distributed smart devices to collect and process data within …

Hybrid deep learning for botnet attack detection in the internet-of-things networks

SI Popoola, B Adebisi, M Hammoudeh… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Deep learning (DL) is an efficient method for botnet attack detection. However, the volume of
network traffic data and memory space required is usually large. It is, therefore, almost …

TP2SF: A Trustworthy Privacy-Preserving Secured Framework for sustainable smart cities by leveraging blockchain and machine learning

P Kumar, GP Gupta, R Tripathi - Journal of Systems Architecture, 2021 - Elsevier
With the advancement in sensor technology and the proliferation of low-cost electronic
circuits, Internet of Things (IoT) is emerging as a promising technology for realization of …

SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles

R Kumar, P Kumar, R Tripathi, GP Gupta… - Computer Networks, 2021 - Elsevier
The current advancement in Unmanned Aerial Vehicles (UAVs) and the proliferation of the
Internet of Things (IoT) devices is revolutionizing conventional farming operations into …

A new ensemble-based intrusion detection system for internet of things

A Abbas, MA Khan, S Latif, M Ajaz, AA Shah… - Arabian Journal for …, 2022 - Springer
The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few
years by drastically transforming human lives to automate their ordinary daily tasks. This is …

A Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing

P Kumar, R Kumar, GP Gupta… - Transactions on …, 2021 - Wiley Online Library
With the advancement of blockchain technology, and the proliferation of Internet of things
(IoT)‐driven devices, the blockchain‐IoT applications is changing the perception and …

Toward design of an intelligent cyber attack detection system using hybrid feature reduced approach for iot networks

P Kumar, GP Gupta, R Tripathi - Arabian Journal for Science and …, 2021 - Springer
With simple connectivity and fast-growing demand of smart devices and networks, IoT has
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …

[PDF][PDF] Utilising VAPT Technologies (Vulnerability Assessment & Penetration Testing) as a Method for Actively Preventing Cyberattacks

VV Vegesna - International Journal of Management, Technology …, 2023 - researchgate.net
Complexity of systems are increasing day by day. This leads to more and more
vulnerabilities in Systems. Attackers use these vulnerabilities to exploit the victim's system. It …