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Identification of stenography images by using machine learning

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dc.contributor.author Fonseka, Savin
dc.date.accessioned 2024-04-02T08:05:49Z
dc.date.available 2024-04-02T08:05:49Z
dc.date.issued 2023
dc.identifier.citation Fonseka, Savin (2023) Identification of stenography images by using machine learning. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2019579
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1969
dc.description.abstract "Steganography can also help exchange illegal content (such as child pornography) using public resources like web servers or P2P networks as repositories, without the knowledge of the owners of those resources. Nowadays, secrecy is most important thing to satisfy in computer system. In present, computer system has better algorithm to encrypt data (more secure, provide confidentiality, integrity, availability). But that encryption algorithm provides privacy in cryptography. However, user needs to establish secrecy instead of privacy. Steganography use to pass secret messages between two or more parties. Then user try use steganography. Steganography can hide data inside of any file format. In this paper, we introduce a system to detect images which has steganography by using the machine language. " en_US
dc.language.iso en en_US
dc.subject Steganography en_US
dc.subject Machine learning en_US
dc.subject AI model en_US
dc.title Identification of stenography images by using machine learning en_US
dc.type Thesis en_US


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