Defending Against Bruteforc Attack Using Open Source - SNORT

被引：0

作者：

Bharati, Manisha ^{[1
]}

Tamane, Sharvaree ^{[2
]}

机构：

[1] Indira Coll Engn & Management, Dept Comp, Pune, Maharashtra, India

[2] Jawaharlal Nehru Engn Coll, IT Dept, Aurangabad, Maharashtra, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS (ICICI 2017) | 2017年

关键词：

Intrusion detection; Attacks; Malicious Insider; Security; Brute force Attack; SNORT; IDS; IPS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

With the fast development of the network, network information measure has been greatly improved. In high-speed network surroundings, higher demand is required to the Intrusion Prevention System (IPS) and intrusion detection system (IDS). Snort could be a well-known open supply Intrusion Detection System as well as Intrusion Prevention System that may be used as a second line of defense in a very network to observe any incoming attacks from any source and alert the network administrator regarding this attack This analysis can check Snort's sturdiness against Brute Force attack.

引用

页码：903 / 907

页数：5

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