Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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SQL Injection attacks are the most common attacks on the web applications. Statistical analysis says that so many web sites which interact with the database are prone to SQL Injection/XSS attacks. Different kinds of vulnerability detection system and attack detection systems exist, there is no efficient system for detecting these kinds of attacks. SQL Injection attacks are possible due to the design drawbacks of the websites which interact with back-end databases. Successful attacks may damage more. The state-of-art web application input validation echniques fails to identify the proper SQL/XSS Vulnerabilities accurately because of the systems correctness of sanity checking capability, proper placement of valuators on the applications. The systems fail while processing HTTP Parameter pollution attacks. An extensive survey on the SQL Injection attacks is conducted to present various detection and prevension mechanisms.
info.icomtechnologies. 2014. \u201cDefensive Approaches on SQL Injection and Cross-Site Scripting Attacks\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E2): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 107
Country: India
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: Venkatramulu Sunkari, Dr. C.V Guru Rao (PhD/Dr. count: 1)
View Count (all-time): 210
Total Views (Real + Logic): 9157
Total Downloads (simulated): 2231
Publish Date: 2014 06, Sun
Monthly Totals (Real + Logic):
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SQL Injection attacks are the most common attacks on the web applications. Statistical analysis says that so many web sites which interact with the database are prone to SQL Injection/XSS attacks. Different kinds of vulnerability detection system and attack detection systems exist, there is no efficient system for detecting these kinds of attacks. SQL Injection attacks are possible due to the design drawbacks of the websites which interact with back-end databases. Successful attacks may damage more. The state-of-art web application input validation echniques fails to identify the proper SQL/XSS Vulnerabilities accurately because of the systems correctness of sanity checking capability, proper placement of valuators on the applications. The systems fail while processing HTTP Parameter pollution attacks. An extensive survey on the SQL Injection attacks is conducted to present various detection and prevension mechanisms.
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