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 …

Cyber-security in smart grid: Survey and challenges

Z El Mrabet, N Kaabouch, H El Ghazi… - Computers & Electrical …, 2018 - Elsevier
Smart grid uses the power of information technology to intelligently deliver energy by using a
two-way communication and wisely meet the environmental requirements by facilitating the …

A review on statistical approaches for anomaly detection in DDoS attacks

M Nooribakhsh, M Mollamotalebi - Information Security Journal: A …, 2020 - Taylor & Francis
ABSTRACT Distributed Denial-of-Service (DDoS) attack is one of the most common and
effective type of attacks aiming to deny or weaken the service providing of its victim (s). The …

Deep learning approach for cyberattack detection

Y Zhou, M Han, L Liu, JS He… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
With the accelerated growth of internet of things IoT application in recent years, cities have
become smarter to optimize resource and improved the quality of life for residents. On the …

A novel multi algorithm approach to identify network anomalies in the IoT using Fog computing and a model to distinguish between IoT and Non-IoT devices

RJ Alzahrani, A Alzahrani - Journal of Sensor and Actuator Networks, 2023 - mdpi.com
Botnet attacks, such as DDoS, are one of the most common types of attacks in IoT networks.
A botnet is a collection of cooperated computing machines or Internet of Things gadgets that …

Renyi joint entropy-based dynamic threshold approach to detect DDoS attacks against SDN controller with various traffic rates

MA Aladaileh, M Anbar, AJ Hintaw, IH Hasbullah… - Applied Sciences, 2022 - mdpi.com
The increasing incidence of distributed denial-of-service (DDoS) attacks has made software-
defined networking (SDN) more vulnerable to the depletion of controller resources. DDoS …

Swarm intelligence based autonomous DDoS attack detection and defense using multi agent system

R Kesavamoorthy, K Ruba Soundar - Cluster Computing, 2019 - Springer
In the recent developments in the cloud computing made it's accessible by everyone and
millions of people daily store their data in the cloud platform and utilize for various kind of …

Cyber–physical security for on‐going smart grid initiatives: a survey

MM Hossain, C Peng - IET Cyber‐Physical Systems: Theory & …, 2020 - Wiley Online Library
The smart grid is an upgraded concept of electricity network with tight coupling among
information, control, and bi‐directional communication technologies. Along with the silent …

Multi-modal noise-robust DDoS attack detection architecture in large-scale networks based on tensor SVD

J Xu, X Li, P Wang, X Jin, S Yao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks consumes the resources of traditional or cloud
computing networks, resulting in the network unable to provide normal services. Therefore …

[PDF][PDF] Method of Traffic Monitoring for DDoS Attacks Detection in e-Health Systems and Networks.

M Zalisky, R Odarchenko, S Gnatyuk, Y Petrova… - IDDM, 2018 - ceur-ws.org
eHealth is a complex system that will be gradually introduced in Ukraine over next several
years. It is very efficient system that brings a lot of possibilities in the future. But there are a …