Defences Against web Application Attacks and Detecting Phishing Links Using Machine Learning

In recent years web applications that are hacked every day estimated to be 30 000, and in most cases, web developers or website owners do not even have enough knowledge about what is happening on their sites. Web hackers can use many attacks to gain entry or compromise legitimate web applications, t...

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Bibliographische Detailangaben
Veröffentlicht in:	2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) S. 1 - 6
Hauptverfasser:	Hashim, Aya, Medani, Razan, Attia, Tahani Abdalla
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 26.02.2021
Schlagworte:	Apache access Logs Application security Attacks Classification algorithms Cyber security Deep learning Logistic regression Long short term memory networks Machine learning Machine learning algorithms Phishing PHP and MySQL Random Forest Server Support vector machine Support vector machines Training Training data Web application
Online-Zugang:	Volltext
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