Secure Data Hiding with AES Encryption & Compression Steganography in Java πŸ”’

Discover how to effectively conceal sensitive data using a powerful combination of AES cryptography and compression steganography techniques in Java. Enhance your information security skills today!

Secure Data Hiding with AES Encryption & Compression Steganography in Java πŸ”’
Naren Projects
271 views β€’ Dec 8, 2022
Secure Data Hiding with AES Encryption & Compression Steganography in Java πŸ”’

About this video

Hiding Data Using Efficient Combination of AES Cryptography, And Compression Steganography Technique | Java | Information Security |

#informationsecurity #javaprojects #javaprojectswithsourcecode #javaprojectsforengineeringstudents #javaprojectideas #corejavaprojects

Data compression is an important part of information security because compressed data is more secure and easy to handle. Effective data compression technology creates efficient, secure, and easy-to-connect data. There are two types of compression algorithm techniques, lossy and lossless. These technologies can be used in any data format such as text, audio, video, or image file. The main objective of this study was to reduce the physical space on the various storage media and reduce the time of sending data over the Internet with a complete guarantee of encrypting this data and hiding it from intruders. Two techniques are implemented, with data loss (Lossy) and without data loss (Lossless). In the proposed paper a hybrid data compression algorithm increases the input data to be encrypted by AES (Advanced Encryption Standard) cryptography method to enhance the security level and it can be used in executing lossy and lossless compacting Steganography methods. This technique can be used to decrease the amount of every transmitted data aiding fast transmission while using slow internet or take a small space on different storage media. The plain text is compressed by the AES algorithm, and also the cover image is compressed based that compact the cover image through lossy compression in order to reduce the cover image’s dimensions.

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Video Information

Views

271

Likes

4

Duration

9:23

Published

Dec 8, 2022

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