Results 11 to 20 of about 3,338,637 (201)

LDoS attack detection method based on simple statistical features

Tongxin xuebao, 2022
Traditional low-rate denial of service (LDoS) attack detection methods were complex in feature extraction, high in computational cost, single in experimental data background settings, and outdated in attack scenarios, so it was difficult to meet the ...
Xueyuan DUAN, Yu FU, Kun WANG, Bin LI
doaj   +2 more sources

G-IDCS: Graph-Based Intrusion Detection and Classification System for CAN Protocol

IEEE Access, 2023
The security of in-vehicle networks has become an important issue as automobiles become more connected and automated. In this paper, we propose a graph-based intrusion detection and classification system, named G-IDCS, which aims to enhance the security ...
Sung Bum Park, Hyo Jin Jo, Dong Hoon Lee
doaj   +1 more source

LSTM-Based Collaborative Source-Side DDoS Attack Detection

IEEE Access, 2022
As denial of service attacks become more sophisticated, the source-side detection techniques are being studied to solve the limitations of target-side detection techniques such as delayed detection and difficulty in tracking attackers.
Sungwoong Yeom, Chulwoong Choi, Kyungbaek Kim   +2 more
doaj   +1 more source

DDOS ATTACK DETECTION SIMULATION AND HANDLING MECHANISM [PDF]

, 2013
In this study we discuss how to handle DDoS attack that coming from the attacker by using detection method and handling mechanism. Detection perform by comparing number of packets and number of flow. Whereas handling mechanism perform by limiting or drop
Yazid, S. (Setiadi), Sanmorino, Ahmad, Sanmorino, A. (Ahmad), Yazid, Setiadi, Ahmad Sanmorino, Setiadi Yazid   +5 more
core   +1 more source

Detection of Multi-Stage Attacks Through Attack Pattern Segmentation

IEEE Access
Advanced cyberattack patterns threatening network assets employ various attack vectors, multi-stage attack processes, and diverse penetration strategies.
Seonghyeon Gong, Jake Cho, Kyuwon Ken Choi   +2 more
doaj   +1 more source

Wormhole attack detection techniques in ad-hoc network: A systematic review

Open Computer Science, 2022
Mobile ad hoc networks (MANETs) are considered as decentralized networks, which can communicate without pre-existing infrastructure. Owning to utilization of open medium access and dynamically changing network topology, MANETs are vulnerable to different
Gupta Chitvan, Singh Laxman, Tiwari Rajdev   +2 more
doaj   +1 more source

8. 08102 Manifesto – Perspectives Workshop: Network Attack Detection and Defense

, 2008
This manifesto is the result of the Perspective Workshop Network Attack Detection and Defense held in Schloss Dagstuhl (Germany) from March 2nd – 6th, 2008.
Carle, Georg, Dressler, Falko, Kemmerer, Richard A., Kruegel, Christopher, Laskov, Pavel, Koenig, Hartmut   +5 more
core   +1 more source

Situation Awareness Assessment Approach Based on Attack Traffic and System Vulnerabilities

Shuju Caiji Yu Chuli
Network security situation assessment plays an important role in the design and implementation of network defense strategies. The existing situation assessment methods gather the information of both attack and defense to construct an assessment model ...
LI Yan, WANG Ziying, MAO Jiaming, GU Zhimin, JIANG Haitao   +4 more
doaj   +1 more source

Data mining based cyber-attack detection [PDF]

, 2017
Detecting cyber-attacks undoubtedly has become a big data problem. This paper presents a tutorial on data mining based cyber-attack detection. First, a data driven defence framework is presented in terms of cyber security situational awareness. Then, the
Tianfield, Huaglory
core   +2 more sources

A Cross-database Study of Voice Presentation Attack Detection

, 2019
Despite an increasing interest in speaker recognition technologies, a significant obstacle still hinders their wide deployment --- their high vulnerability to spoofing or presentation attacks. These attacks can be easy to perform.
Marcel, Sébastien, Korshunov, Pavel, Sébastien Marcel, Pavel Korshunov   +3 more
core   +1 more source