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Router based detection for low-rate agents of DDoS attack

2008 International Conference on High Performance Switching and Routing, 2008
The TCP SYN flooding attack is the most prevalent type of DDoS attacks that exhaust network resources. The current detection schemes only work well for the detection of high-rate flooding sources. It is notable, however, that in the current DDoS attacks, the flooding rate is usually distributed among many low-rate flooding agents to make the detection ...
Dalia Nashat   +2 more
openaire   +1 more source

Low-Rate DDoS Attacks Detection and Traceback by Using New Information Metrics

IEEE Transactions on Information Forensics and Security, 2011
A low-rate distributed denial of service (DDoS) attack has significant ability of concealing its traffic because it is very much like normal traffic. It has the capacity to elude the current anomaly-based detection schemes. An information metric can quantify the differences of network traffic with various probability distributions.
Yang Xiang 0001, Ke Li, Wanlei Zhou 0001
openaire   +2 more sources

Adaptive IP traceback mechanism for detecting low rate DDoS attacks

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN), 2013
Distributed Denial of Service (DDoS) attacks is measured to be a vital threat to the net. Because of memory less feature of the net routing mechanism, it's extraordinarily onerous to trace back to the supply of those attacks. Ancient packet marking techniques are not any longer applied because of its high memory consumption and poor measurability ...
M. Baskar, T. Gnanasekaran, S. Saravanan
openaire   +1 more source

Low-rate TCP DDoS Attack Model in the Southbound Channel of Software Defined Networks

2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS), 2020
Software-Defined Networking (SDN) decoupled architecture provides greater network visibility for network operators allowing effective resource management and enhances networks security. However, the SDN centralized architecture, the communication channels between planes and the limited resources can make SDN systems vulnerable against DoS/DDoS attacks.
Juan Fernando Balarezo   +5 more
openaire   +2 more sources

A Way to Estimate TCP Throughput under Low-Rate DDoS Attacks: One TCP Flow

2020 RIVF International Conference on Computing and Communication Technologies (RIVF), 2020
TCP-targeted low-rate distributed denial-of-service (LDDoS) attacks were first introduced by A. Kuzmanovic and E. Knightly in 2003. The authors also proposed a simple model to quantify TCP throughput under LDDoS attacks. Since then, there have been many researchers attemping to estimate the throughput, such as Luo et al.
Minh Viet Kieu   +2 more
openaire   +1 more source

Low-Rate DDoS Attack on SDN Controller and Its Impact

2023 16th International Conference on Security of Information and Networks (SIN), 2023
Virender   +3 more
openaire   +2 more sources

Detection of Low-Rate Cloud DDoS Attacks in Frequency Domain Using Fast Hartley Transform

Wireless Personal Communications, 2020
Distributed Denial-of-Service (DDoS) attack has been a serious threat to the availability feature of cloud computing. As traditional DDoS attacks are implemented using a huge volume of malicious traffic, the detection of such attacks becomes a naive task. To evade this detection, attackers are moving towards the Low-Rate DDoS (LRDDoS) attacks.
Neha Agrawal, Shashikala Tapaswi
openaire   +1 more source

An RF-based Low Rate DDoS Attack Real-time Detection System

2023 33rd International Telecommunication Networks and Applications Conference, 2023
Shijin Liu, Hiroaki Fukuda, Paul Leger
openaire   +2 more sources

METER: An Ensemble DWT-based Method for Identifying Low-rate DDoS Attack in SDN

2021 IEEE 19th International Conference on Embedded and Ubiquitous Computing (EUC), 2021
Cong Wang   +5 more
openaire   +2 more sources

Detection of DDoS Attacks With Feed Forward Based Deep Neural Network Model

Expert Systems With Applications, 2021
Kazim Yıldız, Abdullah Emir Cil
exaly  

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