Application Layer DDOS Attack Detection and Defense Methods

被引:0
|
作者
Sreenivasarao, Sadhu [1 ]
机构
[1] C DAC, Hyderabad, India
关键词
DDos attacks; Application layer; Statistical; Machine leaning; Detection; Defense; Hybrid mechanism;
D O I
10.1007/978-981-16-3097-2_1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nowadays in the cyberworld, the Internet has dramatically revolutionized many different fields and different public services globally. Due to any reason, unavailability of these services leads to enormous cost implications and it even affects society. Adistributed denial of service (DDOS) attack is amajor cybersecurity threat designed to deny services to legitimate users. These days, application-layer distributed denial of service attacks are the main threat on web servers. This paper addressed application layer DDOS attacks typical architecture, common detection mechanisms and defense methods. Numerous Application layer DDOS attack detection techniques have been developed, these can generally be described as detection methods based on the signature, anomalies and hybrids. In anomaly detection, we discussed statistical and machine learning-based methods by researchers. We classified defense mechanisms as defense methods and a combination of detection and defense methods.
引用
收藏
页码:1 / 12
页数:12
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