Results 151 to 160 of about 29,505 (203)

Ensemble-based detection of distributed denial-of-service attacks in IoT networks using majority decision mechanisms. [PDF]

Sci Rep
Cheng S, Feng X.
europepmc   +1 more source

Dynamic graph neural network-based framework to increase detection accuracy in SDN under DDOS. [PDF]

Sci Rep
Kalafy SAA, Pashazadeh S, Salehpour P.
europepmc   +1 more source

A deep reinforcement based echo state network for network intrusion classification. [PDF]

PLoS One
Alam K, Bhuiyan MH, Farid DM.
europepmc   +1 more source

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DDoS attack detection and wavelets

Proceedings. 12th International Conference on Computer Communications and Networks (IEEE Cat. No.03EX712), 2004
This paper presents a systematic method for DDoS attack detection. DDoS attack can be considered a system anomaly or misuse from which abnormal behavior is imposed on network traffic. Attack detection can be performed via abnormal behavior identification.
Lan Li, Gyungho Lee
openaire   +1 more source

DDoS Attacks Detection with AutoEncoder

NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, 2020
Although many distributed denial of service (DDoS) attacks detection algorithms have been proposed and even some of them have claimed high detection accuracy, DDoS attacks are still a major problem for network security. The latent and inherent problems of these detection algorithms are 1) Requirement of both normal and attack data for building ...
Kun Yang, Junjie Zhang 0001, Yang Xu 0010, H. Jonathan Chao   +3 more
openaire   +1 more source

Research on DDoS Attacks in IPv6

Proceedings of the 4th International Conference on Computer Science and Application Engineering, 2020
With the gradual replacement of IPv4 by IPv6, Distributed Denial-of-Service (DDoS) attacks that have plagued IPv4 appear in IPv6 more or less, and affect the normal operation of IPv6. However, the current research on how to construct a secure DDoS attack defense system under ipv6 is far away from satisfactory.
Jie Zhong, Xiangning Chen
openaire   +1 more source

A taxonomy of DDoS attack and DDoS defense mechanisms

ACM SIGCOMM Computer Communication Review, 2004
Distributed denial-of-service (DDoS) is a rapidly growing problem. The multitude and variety of both the attacks and the defense approaches is overwhelming. This paper presents two taxonomies for classifying attacks and defenses, and thus provides researchers with a better understanding of the problem and the current solution space.
Jelena Mirkovic, Peter L. Reiher
openaire   +1 more source

Forensic Model for DDoS Attack

GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020
Recent trends have shown that botnets have been active since the 1990s. Attackers use newer technologies to damage enterprises and individuals through identity theft, bank fraud, spam campaigns, malware distribution, and distributed denial of service (DDoS) attacks.
Yun Luo, Xiao Fu 0005, Bin Luo 0003, Xiaojiang Du, Mohsen Guizani   +4 more
openaire   +1 more source