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Distributed denial of service attack prediction: Challenges, open issues and opportunities
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 …
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
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 …
smart agriculture, smart medical, smart logistics, etc. However, Distributed Denial of Service …
Detecting Internet of Things attacks using distributed deep learning
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 …
security model employed to protect user data and prevent devices from engaging in …
Timely detection and mitigation of stealthy DDoS attacks via IoT networks
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 …
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 …
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 …
and “things” go online, the prospect of cyberspace becoming a significant target for …
[HTML][HTML] High-speed network ddos attack detection: A survey
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 …
a network. This situation can lead to distributed denial-of-service (DDoS) attacks, which can …
Recent advancements in machine learning for cybercrime prediction
Cybercrime is a growing threat to organizations and individuals worldwide, with criminals
using sophisticated techniques to breach security systems and steal sensitive data. This …
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 …
presented. The method allows detecting both known and unknown cyberattacks. The …
A holistic approach for detecting DDoS attacks by using ensemble unsupervised machine learning
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 …
physical system over the last decade. Defending against DDoS attack is not only …