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ANALISIS SERANGAN REFLECTED XSS ATTACKS PADA APLIKASI WEB DENGAN METODE BAYESIAN NETWORK

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Penilaian

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The more rapid the development of information technology in web applications, the interference, or the actions of attackers (hackers) are increasing as well. We can see this in print or electronic media, where these media report the actions of hackers to attack existing websites. XSS reflected attack is a type of attack that tries to insert or inject some script code, where the script code here can be stored in an existing database on the website, in this case the script that has been entered is returned to the user's application server. For example, the error message shown will be displayed in other client browsers. Attack pattern of reflected XSS on dataset dataset for Deep learning | Kaggle, will be recognized by several parameters such as sentence, label, ngram1, ngram2 and ngram3. The results of the dataset processing are evaluated for analysis using the Bayesian network method to determine how much accuracy the XSS reflected attack analysis is. From the results of the analysis here, the accuracy value is 99.71%, the precision value is 99.85%, the recall value 99,72 and the f1 – score value is 99.78%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207001081	T69872	T698722022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T698722022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xiv, 71 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.678 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Sistem Komputer
Situs web internet

Specific Detail Info

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Statement of Responsibility

SEPTA

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