Distributed denial of service attack prediction: Challenges, open issues and opportunities

AB De Neira, B Kantarci, M Nogueira - Computer Networks, 2023 - Elsevier
Abstract Distributed Denial of Service (DDoS) attack is one of the biggest cyber threats.
DDoS attacks have evolved in quantity and volume to evade detection and increase …

Blockchain based solutions to mitigate distributed denial of service (DDoS) attacks in the Internet of Things (IoT): A survey

Z Shah, I Ullah, H Li, A Levula, K Khurshid - Sensors, 2022 - mdpi.com
Internet of Things (IoT) devices are widely used in many industries including smart cities,
smart agriculture, smart medical, smart logistics, etc. However, Distributed Denial of Service …

Detecting Internet of Things attacks using distributed deep learning

GDLT Parra, P Rad, KKR Choo, N Beebe - Journal of Network and …, 2020 - Elsevier
The reliability of Internet of Things (IoT) connected devices is heavily dependent on the
security model employed to protect user data and prevent devices from engaging in …

Timely detection and mitigation of stealthy DDoS attacks via IoT networks

K Doshi, Y Yilmaz, S Uludag - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) networks consist of sensors, actuators, mobile and wearable devices
that can connect to the Internet. With billions of such devices already in the market which …

Online Network DoS/DDoS Detection: Sampling, Change Point Detection, and Machine Learning Methods

E Owusu, M Rahouti… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks continue to pose
significant threats to networked systems, causing disruptions that can lead to substantial …

[PDF][PDF] Distributed reflection denial of service attack: A critical review

RR Nuiaa, S Manickam… - International Journal of …, 2021 - researchgate.net
As the world becomes increasingly connected and the number of users grows exponentially
and “things” go online, the prospect of cyberspace becoming a significant target for …

[HTML][HTML] High-speed network ddos attack detection: A survey

RMA Haseeb-Ur-Rehman, AHM Aman, MK Hasan… - Sensors, 2023 - mdpi.com
Having a large number of device connections provides attackers with multiple ways to attack
a network. This situation can lead to distributed denial-of-service (DDoS) attacks, which can …

Recent advancements in machine learning for cybercrime prediction

L Elluri, V Mandalapu, P Vyas, N Roy - Journal of Computer …, 2023 - Taylor & Francis
Cybercrime is a growing threat to organizations and individuals worldwide, with criminals
using sophisticated techniques to breach security systems and steal sensitive data. This …

A cyberattacks detection technique based on evolutionary algorithms

S Lysenko, K Bobrovnikova, R Shchuka… - 2020 IEEE 11th …, 2020 - ieeexplore.ieee.org
An article presents an approach for cyberattack detection based on genetic algorithms is
presented. The method allows detecting both known and unknown cyberattacks. The …

A holistic approach for detecting DDoS attacks by using ensemble unsupervised machine learning

S Das, D Venugopal, S Shiva - … : Proceedings of the 2020 Future of …, 2020 - Springer
Abstract Distributed Denial of Service (DDoS) has been the most prominent attack in cyber-
physical system over the last decade. Defending against DDoS attack is not only …