Composite and efficient DDoS attack detection framework for B5G networks

GC Amaizu, CI Nwakanma, S Bhardwaj, JM Lee… - Computer Networks, 2021 - Elsevier
Distributed denial-of-service (DDoS) remains an ever-growing problem that has affected and
continues to affect a host of web applications, corporate bodies, and governments. With the …

[HTML][HTML] 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 …

An efficient counter-based DDoS attack detection framework leveraging software defined IoT (SD-IoT)

J Bhayo, S Hameed, SA Shah - IEEE Access, 2020 - ieeexplore.ieee.org
The Internet of things (IoT) introduces emerging applications (ie, smart homes, smart cities,
smart health, and smart gird) that assist the traditional infrastructure environments to be …

[HTML][HTML] DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges

KB Adedeji, AM Abu-Mahfouz, AM Kurien - Journal of Sensor and …, 2023 - mdpi.com
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …

[HTML][HTML] Effective feature selection methods to detect IoT DDoS attack in 5G core network

YE Kim, YS Kim, H Kim - Sensors, 2022 - mdpi.com
The 5G networks aim to realize a massive Internet of Things (IoT) environment with low
latency. IoT devices with weak security can cause Tbps-level Distributed Denial of Service …

[HTML][HTML] Machine-learning-based DDoS attack detection using mutual information and random forest feature importance method

M Alduailij, QW Khan, M Tahir, M Sardaraz, M Alduailij… - Symmetry, 2022 - mdpi.com
Cloud computing facilitates the users with on-demand services over the Internet. The
services are accessible from anywhere at any time. Despite the valuable services, the …

Detecting distributed denial of service attacks: methods, tools and future directions

MH Bhuyan, HJ Kashyap… - The Computer …, 2014 - ieeexplore.ieee.org
Distributed denial of service (DDoS) attack is a coordinated attack, generally performed on a
massive scale on the availability of services of a target system or network resources. Owing …

[PDF][PDF] Characterization and Comparison of DDoS Attack Tools and Traffic Generators: A Review.

S Behal, K Kumar - Int. J. Netw. Secur., 2017 - ijns.jalaxy.com.tw
Abstract Distributed Denial of Service (DDoS) attack imposes a severe threat to the
extensively used Internet based services like e-commerce, e-banking, transportation …

LUCID: A practical, lightweight deep learning solution for DDoS attack detection

R Doriguzzi-Corin, S Millar… - … on Network and …, 2020 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks are one of the most harmful threats in today's
Internet, disrupting the availability of essential services. The challenge of DDoS detection is …

D-FACE: An anomaly based distributed approach for early detection of DDoS attacks and flash events

S Behal, K Kumar, M Sachdeva - Journal of Network and Computer …, 2018 - Elsevier
In the present computer era, though the Internet-based applications are the driving force of
social evolution, yet its architectural vulnerabilities proffer plethoric leisure to the attackers …