AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Artificial Intelligence …, 2023 - Springer
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

Internet of things (IoT) security dataset evolution: Challenges and future directions

B Kaur, S Dadkhah, F Shoeleh, ECP Neto, P **ong… - Internet of Things, 2023 - Elsevier
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …

Machine learning techniques to detect a DDoS attack in SDN: A systematic review

TE Ali, YW Chong, S Manickam - Applied Sciences, 2023 - mdpi.com
The recent advancements in security approaches have significantly increased the ability to
identify and mitigate any type of threat or attack in any network infrastructure, such as a …

Deep learning approaches for detecting DDoS attacks: A systematic review

M Mittal, K Kumar, S Behal - Soft computing, 2023 - Springer
In today's world, technology has become an inevitable part of human life. In fact, during the
Covid-19 pandemic, everything from the corporate world to educational institutes has shifted …

[HTML][HTML] Deep learning-based intrusion detection for distributed denial of service attack in agriculture 4.0

MA Ferrag, L Shu, H Djallel, KKR Choo - Electronics, 2021 - mdpi.com
Smart Agriculture or Agricultural Internet of things, consists of integrating advanced
technologies (eg, NFV, SDN, 5G/6G, Blockchain, IoT, Fog, Edge, and AI) into existing farm …

Performance evaluation of deep learning techniques for DoS attacks detection in wireless sensor network

S Salmi, L Oughdir - Journal of Big Data, 2023 - Springer
Wireless sensor networks (WSNs) are increasingly being used for data monitoring and
collection purposes. Typically, they consist of a large number of sensor nodes that are used …

Cyber security for detecting distributed denial of service attacks in agriculture 4.0: Deep learning model

THH Aldhyani, H Alkahtani - Mathematics, 2023 - mdpi.com
Attackers are increasingly targeting Internet of Things (IoT) networks, which connect
industrial devices to the Internet. To construct network intrusion detection systems (NIDSs) …

A new DDoS attacks intrusion detection model based on deep learning for cybersecurity

D Akgun, S Hizal, U Cavusoglu - Computers & Security, 2022 - Elsevier
The data is exposed to many attacks during communication in the network environment. It is
becoming increasingly essential to identify intrusions into network communications …

A comprehensive review of vulnerabilities and AI-enabled defense against DDoS attacks for securing cloud services

S Kumar, M Dwivedi, M Kumar, SS Gill - Computer Science Review, 2024 - Elsevier
The advent of cloud computing has made a global impact by providing on-demand services,
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …

Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments

MP Novaes, LF Carvalho, J Lloret… - Future Generation …, 2021 - Elsevier
Over the last few years, Software Defined Networking (SDN) paradigm has become an
emerging architecture to design future networks and to meet new application demands. SDN …