A comprehensive study of DDoS attacks over IoT network and their countermeasures

P Kumari, AK Jain - Computers & Security, 2023 - Elsevier
IoT offers capabilities to gather information from digital devices, infer from their results, and
maintain and optimize these devices in different domains. IoT is heterogeneous in nature …

Defense mechanisms against DDoS attacks in a cloud computing environment: State-of-the-art and research challenges

N Agrawal, S Tapaswi - IEEE Communications Surveys & …, 2019 - ieeexplore.ieee.org
The salient features of cloud computing (such as on-demand self-service, resource pooling,
broad network access, rapid elasticity, and measured service) are being exploited by …

A survey on machine learning techniques for cyber security in the last decade

K Shaukat, S Luo, V Varadharajan, IA Hameed… - IEEE …, 2020 - ieeexplore.ieee.org
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

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 …

DeepDefense: identifying DDoS attack via deep learning

X Yuan, C Li, X Li - 2017 IEEE international conference on …, 2017 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks grow rapidly and become one of the fatal
threats to the Internet. Automatically detecting DDoS attack packets is one of the main …

Distributed denial of service attacks and its defenses in IoT: a survey

MM Salim, S Rathore, JH Park - The Journal of Supercomputing, 2020 - Springer
A distributed denial of service (DDoS) attack is an attempt to partially or completely shut
down the targeted server with a flood of internet traffic. The primary aim of this attack is to …

Distributed denial of service (DDoS) resilience in cloud: Review and conceptual cloud DDoS mitigation framework

O Osanaiye, KKR Choo, M Dlodlo - Journal of Network and Computer …, 2016 - Elsevier
Despite the increasing popularity of cloud services, ensuring the security and availability of
data, resources and services remains an ongoing research challenge. Distributed denial of …

Comprehensive review of artificial intelligence and statistical approaches in distributed denial of service attack and defense methods

BA Khalaf, SA Mostafa, A Mustapha… - IEEE …, 2019 - ieeexplore.ieee.org
Until now, an effective defense method against Distributed Denial of Service (DDoS) attacks
is yet to be offered by security systems. Incidents of serious damage due to DDoS attacks …

Semi-supervised machine learning approach for DDoS detection

M Idhammad, K Afdel, M Belouch - Applied Intelligence, 2018 - Springer
Abstract Even though advanced Machine Learning (ML) techniques have been adopted for
DDoS detection, the attack remains a major threat of the Internet. Most of the existing ML …

A survey of low rate ddos detection techniques based on machine learning in software-defined networks

AA Alashhab, MSM Zahid, MA Azim, MY Daha… - Symmetry, 2022 - mdpi.com
Software-defined networking (SDN) is a new networking paradigm that provides centralized
control, programmability, and a global view of topology in the controller. SDN is becoming …