Name
Abstract | ||
|---|---|---|
Frequency of attacks on web services and resulting damagecontinue to grow as web services become popular.Unfortunately, existing signature-based intrusion detectiontechniques are inadequate in providing reasonable degreeof web security. Web attacks are diverse in nature, and typicalweb architecture consists of complex and hierarchicallyorganized components. Because attack strategies oftenvary depending on the web contents, it is impossible to developfixed patterns capturing unknown attacks. Protectionmechanisms such as anomaly-based intrusion detection andapplication-level IDS, tailored to web services, are neededto detect web attacks. The first step in developing web applicationIDS is to analyze and categorize possible web attacksand vulnerabilities. In this paper, we classify web attacks byanalyzing the root causes and the locations where they occur.This research is useful in developing web IDS modules,tracking emerging trends on web attacks, and testing webapplications against potential vulnerabilities. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ITCC.2004.1286431 | ITCC (1) |
Keywords | Field | DocType |
web content,reasonable degreeof web security,root causes,web ids module,web service,signature-based intrusion detectiontechniques,web applicationids,web attack,web server attack categorization,attack strategy,categorize possible web attacksand,anomaly-based intrusion detection andapplication-level,file servers,computer science,web services,web server,world wide web,access control,service oriented architecture,message authentication,data privacy,web security,intrusion detection,internet,information security,web architecture | World Wide Web,Web threat,Web analytics,Computer science,Computer security,Web application security,Web application,Web service,Intrusion detection system,Service-oriented architecture,Web server | Conference |
ISBN | Citations | PageRank |
0-7695-2108-8 | 5 | 0.57 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeongseok Seo | 1 | 15 | 1.86 |
| Han-Sung Kim | 2 | 55 | 4.60 |
| Sang-Hyun Cho | 3 | 143 | 21.38 |
| Sungdeok Cha | 4 | 220 | 19.73 |