A review of artificial intelligence to enhance the security of big data systems: state-of-art, methodologies, applications, and challenges

D Dai, S Boroomand - Archives of Computational Methods in Engineering, 2022 - Springer
Technological advancements modernize the way we live with the changes made both
globally and nationwide. These technological improvements also cause adverse effects in …

Software-defined networking solutions, architecture and controllers for the industrial internet of things: A review

C Urrea, D Benítez - Sensors, 2021 - mdpi.com
The use of Software-Defined Networking (SDN) in the communications of the Industrial
Internet of Things (IIoT) demands more comprehensive solutions than those developed to …

The DDoS attacks detection through machine learning and statistical methods in SDN

A Banitalebi Dehkordi, MR Soltanaghaei… - The Journal of …, 2021 - Springer
The distributed denial-of-service (DDoS) attack is a security challenge for the software-
defined network (SDN). The different limitations of the existing DDoS detection methods …

Artificial neural network and symmetric key cryptography based verification protocol for 5G enabled Internet of Things

VO Nyangaresi, M Ahmad, A Alkhayyat… - Expert Systems, 2022 - Wiley Online Library
Driven by the requirements for entirely low communication latencies, high bandwidths,
reliability and capacities, the Fifth Generation (5G) networks has been deployed in a number …

[PDF][PDF] A Formally Verified Authentication Scheme for mmWave Heterogeneous Networks

VO Nyangaresi - the 6th International Conference on Combinatorics …, 2021 - i4c.iust.ac.ir
The 5G mmWave networks support massive number of devices and offer salient features
such as very low communication latencies and high signal stability. This has seen these …

Design optimization-based software-defined networking scheme for detecting and preventing attacks

P Charanarur, B Thanh Hung, P Chakrabarti… - Multimedia Tools and …, 2024 - Springer
In this paper, we design a Spider Monkey-based Elman Spike Neural Network (SM-ESNN)
to identify intrusion threats in Software Defined Networks (SDN). Utilizing analysis of …

Bloc-sec: Blockchain-based lightweight security architecture for 5G/B5G enabled SDN/NFV cloud of IoT

IH Abdulqadder, S Zhou, D Zou, IT Aziz… - 2020 IEEE 20th …, 2020 - ieeexplore.ieee.org
Lightweight security provisioning is a recent topic in resource-constrained software-defined
networking (SDN). Integration between SDN, internet of things (IoT), network function …

Countering ARP spoofing attacks in software-defined networks using a game-theoretic approach

F Mvah, VK Tchendji, CT Djamegni, AH Anwar… - Computers & …, 2024 - Elsevier
Abstract The Address Resolution Protocol (ARP) spoofing is a form of attack typically used
by attackers to cause a denial of service or man-in-the-middle attacks. This attack comes …

Enhancing data security in mobile cloud using novel key generation

S Virushabadoss, TP Anithaashri - Procedia Computer Science, 2022 - Elsevier
Cloud computing is being utilized in an assortment of ventures, including money, business,
and diversion and the client's information is stored in a remote system given by the cloud …

An optimized active learning tcm-knn algorithm based on intrusion detection system

R Batra, M Mahajan, A Goel - … on Intelligent Systems: Proceedings of CIS …, 2022 - Springer
A new network structure can be designed for optimization of network flow management
known as software-defined network (SDN). Many of network technologies have been moved …