Network meddling detection using machine learning empowered with blockchain technology

MU Nasir, S Khan, S Mehmood, MA Khan, M Zubair… - Sensors, 2022 - mdpi.com
The study presents a framework to analyze and detect meddling in real-time network data
and identify numerous meddling patterns that may be harmful to various communication …

Intrusion Detection in Cyber Physical Systems Using Multichain

CM Nalayini, J Katiravan, V Sathya - Malware Analysis and Intrusion …, 2023 - igi-global.com
Distributed denial of service attack is a kind of cyber smack. Though this attack is known by
everyone, its severity is increasing day by day. It denies the services of the network or online …

Prevention of DDoS attacks using an optimized deep learning approach in blockchain technology

B Ilyas, A Kumar, MA Setitra… - Transactions on …, 2023 - Wiley Online Library
Abstract The attack named Distributed Denial of Service (DDoS) that takes place in the large
blockchain network requires an efficient and robust attack detection and prevention …

A deep learning approach for DDoS attack detection using supervised learning

H Tekleselassie - MATEC web of conferences, 2021 - matec-conferences.org
This research presents a novel combined learning method for developing a novel DDoS
model that is expandable and flexible property of deep learning. This method can advance …

Brainchain-a machine learning approach for protecting blockchain applications using sdn

Z Abou El Houda, A Hafid… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Nowadays, blockchain technology is seen as one of the main technological innovations to
emerge since the advent of the internet. Many applications can benefit from blockchain to …

A review of various challenges in cybersecurity using artificial intelligence

H Chaudhary, A Detroja, P Prajapati… - 2020 3rd international …, 2020 - ieeexplore.ieee.org
Cybersecurity using Artificial Intelligence is a double-edged sword, it can improve security
substantially but it also creates a possibility of new forms of attack, which performed on …

A blockchain and stacked machine learning approach for malicious nodes' detection in internet of things

S Musa Baig, MU Javed, A Almogren, N Javaid… - Peer-to-Peer Networking …, 2023 - Springer
Abstract The Internet of Things (IoT) network is extremely useful in many different fields, such
as smart cities, the military, healthcare, business, and agriculture, among others. The …

RETRACTED ARTICLE: Graph based CNN Algorithm to Detect Spammer Activity Over Social Media

A Tandon, SK Guha, J Rashid, J Kim… - IETE Journal of …, 2023 - Taylor & Francis
We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have
retracted the following article, which is part of the Special Issue titled “Federated Learning for …

Biologically inspired smart contract: A blockchain-based DDoS detection system

X Han, R Zhang, X Liu, F Jiang - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
With the increase of Internet usage, the identification and recovery from cyber-attacks
become the major concerns for cyber industries. Therefore, the harm caused by network …

A time interval based blockchain model for detection of malicious nodes in manet using network block monitoring node

VL Narayana… - … Conference on Inventive …, 2020 - ieeexplore.ieee.org
Mobile Ad Hoc Networks (MANETs) are infrastructure-less networks that are mainly used for
establishing communication during the situation where wired network fails. Security related …