International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023
p-ISSN: 2395-0072
www.irjet.net
ADVANCED SECURITY USING ENCRYPTION, COMPRESSION AND STEGANOGRAPHY TECHNIQUES Mr. R Ramesh Kumar1, B Amirta Josna2, R Lawvanyaa3, S Shruthi4 1Assistant Professor, Sri Venkateswara College of Engineering, Sriperumbudur, TamilNadu
234Students of Electronics and Communication Engineering, Sri Venkateswara College of Engineering,
Sriperumbudur, TamilNadu ---------------------------------------------------------------------***--------------------------------------------------------------------LITERATURE REVIEW Abstract – In today's digital age, data security and privacy are more crucial than ever. One of the most trustworthy and widely used symmetric encryption methods is the Advanced Encryption Standard (AES). AES provides robust encryption, but it doesn't address the issue of reducing file size or concealing the fact that data is encrypted in the first place. In this case, compression and steganography are employed. Using seemingly harmless carrier things, such as images, audio files, or text documents, steganography is the technique of hiding data. Data that has been well compressed is reliable, safe, and simple to connect. AES encryption, lossless Huffman coding compression, and LSB embedding steganography are all used in this project. Steganography is performed after encryption, followed by compression. Java script is used to implement this, along with SQL, FXML, and CSS. After encryption, compression, and steganography, measurements were taken to determine the Avalanche Effect (AE), entropy, and compression ratio. By using this hybrid approach, it has been discovered that the values of entropy and the Avalanche Effect significantly rise, and the file size is optimally reduced by around 30%, compensating for the size increase brought on by encryption. In order to facilitate quick transmission over slow internet or take up less space on various storage media while maintaining high security and data integrity, this technology reduces the amount of each piece of communicated data.
Manish Kumar, Aman Soni, Ajay Raj Singh Shekhawat, Akash Rawat proposed a work on “Enhanced Digital Image and Text Data Security Using Hybrid Model of LSB Steganography and AES Cryptography Technique”. It uses a hybrid model of LSB steganography and Advanced Encryption Standard (AES) cryptography techniques to improve the security of digital images and text that is indubitably difficult for an unauthorized person to crack. The mean square error and peak signalto-noise ratio are used to determine the security degree of secret information. A low MSE and a high PSNR value are needed for better concealment. [1] Aswini. N, Anagha. V. K, NandaKumar. R proposed work on “Sharing Confidential Images with Abbreviated Shares using Steganography and AES Algorithm”. In this study, an experimental method for concealing a secret image utilising steganography (LSB and BPCS) and the AES algorithm is described. The cover picture's least significant bits are used to embed data in a way that makes it impossible for the naked eye to distinguish the image from the cover file. This technique is known as least significant bit (LSB) embedding. Both a 24-bit and an 8-bit environment could benefit from this strategy. In BPCS steganography, the image serves as the vessel data, and the bit planes of the vessel contain the hidden information. Every "noise-like" area within the bit planes of the vessel image is replaced with secret data without affecting the image's quality. The term "BPCS-Steganography," or Bit-Plane Complexity Segmentation Steganography, may be used to refer to this steganography. [2]
Key Words: AES, Huffman Coding, LSB Embedding, Entropy, Compression Ratio, CSS, Java, FXML, SQL
1.INTRODUCTION The protection of sensitive information has become vital in the current digital era. To fulfil this need, a combination of strong encryption and covert data concealment techniques is needed. The Advanced Encryption Standard (AES) cryptography, compression, and steganography are all merged in this project. Strong AES encryption ensures data secrecy, while compression minimises data size, and steganography conceals encrypted data inside harmless carrier files. Combining these techniques results in a double layer of security that makes it very challenging for unauthorised individuals to access or find the hidden data. This project uses Huffman compression, AES encryption, and LSB embedding steganography to hide data within carrier files.
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Ababil Naghiyeva, Kamran Akbarzadeh, Sakit Verdiyev proposed work on “New Steganography Method of Reversible Data Hiding With Priority to Visual Quality of Image” - - a new reversible data-hiding technique that prioritises maintaining the stego image's visual quality while maintaining a high level of data-hiding capacity. Two steps are taken to resolve the issue. The smallest pixel is selected within each block of the input image that is separated into squares of size 22 in the first phase. The next step is to determine the difference between the last three pixels and the smallest pixel. The resulting difference's decimal values are transformed into binary
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