Fast Detection of Distributed Denial of Service Attacks in VoIP Networks Using Convolutional Neural Networks [PDF]
International Journal of Intelligent Computing and Information Sciences, 2020 Voice over Internet Protocol (VoIP) is a recent technology used to transfer media and voice over Internet Protocol (IP). Many organizations moved to VoIP services instead of the traditional telephone systems because of its low cost and variety of ...
Wail S. Elkilani +3 more
doaj +1 more source
Analysis of Features Dataset for DDoS Detection by using ASVM Method on Software Defined Networking
International Journal of Networked and Distributed Computing (IJNDC), 2020 The impact of Distributed Denial of Service (DDoS) attack is one of the major concerns for Software Defined Networking (SDN) environments. Support Vector Machine (SVM) has been used in a DDoS attack detection mechanism on SDN.
Myo Myint Oo +3 more
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Journal of Sensor and Actuator Networks, 2023 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 criminal users manage remotely. Several strategies have been developed
Rami J. Alzahrani, Ahmed Alzahrani
doaj +1 more source
Detection and Mitigation of High and Low Rate DDOS Attack on SDN Using Traffic Behaviour and Game Theory [PDF]
, 2019 A new lightweight system to detect and mitigate low and high rate DDOS attacks on SDN by analysing traffic flow count and game theory model. The model is comprised of two layers, one for detection and layer two performs the mitigation.
Sharma, Vikas
core +2 more sources
Semi-Supervised K-Means DDoS Detection Method Using Hybrid Feature Selection Algorithm
IEEE Access, 2019 Distributed denial of service (DDoS) attack is an attempt to make an online service unavailable by overwhelming it with traffic from multiple sources.
Yonghao Gu +3 more
doaj +1 more source
Is low‐rate distributed denial of service a great threat to the Internet?
IET Information Security, 2021 Low‐rate Distributed Denial of Service (LDDoS) attacks, in which the attackers send packets to a victim at a sufficiently low rate to avoid being detected, are considered to be a subtype of DDoS attacks and a potential threat to Internet security ...
Ming Chen +3 more
doaj +1 more source
Feature Selection to Enhance DDoS Detection Using Hybrid N-Gram Heuristic Techniques
JOIV: International Journal on Informatics Visualization, 2023 Various forms of distributed denial of service (DDoS) assault systems and servers, including traffic overload, request overload, and website breakdowns.
Andi Maslan +4 more
doaj +1 more source
Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter [PDF]
, 2022 The distribution denial of service (DDoS) attack, fault data injection attack (FDIA) and random attack is reduced. The monitoring and security of smart grid systems are improved using reconfigurable Kalman filter.
Prakyath Dayananda +9 more
core +1 more source
Low-rate TCP DDoS Attack Model in the Southbound Channel of Software Defined Networks
, 2021 Software-Defined Networking (SDN) decoupled architecture provides greater network visibility for network operators allowing effective resource management and enhances networks security.
Karina Mabell Gomez Chavez (18049621) +5 more
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