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 …

A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges

J Xie, FR Yu, T Huang, R Xie, J Liu… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …

Distributed denial-of-service (DDoS) attacks and defense mechanisms in various web-enabled computing platforms: issues, challenges, and future research directions

A Singh, BB Gupta - International Journal on Semantic Web and …, 2022 - igi-global.com
The demand for Internet security has escalated in the last two decades because the rapid
proliferation in the number of Internet users has presented attackers with new detrimental …

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 …

Complementing IoT services through software defined networking and edge computing: A comprehensive survey

W Rafique, L Qi, I Yaqoob, M Imran… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Millions of sensors continuously produce and transmit data to control real-world
infrastructures using complex networks in the Internet of Things (IoT). However, IoT devices …

An evolutionary SVM model for DDOS attack detection in software defined networks

KS Sahoo, BK Tripathy, K Naik… - IEEE …, 2020 - ieeexplore.ieee.org
Software-Defined Network (SDN) has become a promising network architecture in current
days that provide network operators more control over the network infrastructure. The …

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 …

Harnessing artificial intelligence capabilities to improve cybersecurity

S Zeadally, E Adi, Z Baig, IA Khan - Ieee Access, 2020 - ieeexplore.ieee.org
Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as
the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of …

A flow-based anomaly detection approach with feature selection method against ddos attacks in sdns

MS El Sayed, NA Le-Khac, MA Azer… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Software Defined Networking (SDN) is an emerging network platform, which facilitates
centralised network management. The SDN enables the network operators to manage the …

Detection and mitigation of DDoS attacks in SDN: A comprehensive review, research challenges and future directions

J Singh, S Behal - Computer Science Review, 2020 - Elsevier
Many security solutions have been proposed in the past to protect Internet architecture from
a diversity of malware. However, the security of the Internet and its applications is still an …