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Cognitive Computing and Cyber Physical Systems. 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part I

Research Article

Implementation and Performance Evaluation of Asymmetrical Encryption Scheme for Lossless Compressed Grayscale Images

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-48888-7_34,
        author={Neetu Gupta and Hemant Kumar Gupta and K. Swapna and Kommisetti Murthy Raju and Rahul Srivastava},
        title={Implementation and Performance Evaluation of Asymmetrical Encryption Scheme for Lossless Compressed Grayscale Images},
        proceedings={Cognitive Computing and Cyber Physical Systems. 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part I},
        proceedings_a={IC4S},
        year={2024},
        month={1},
        keywords={Huffman Lossless Compression RSA asymmetrical encryption Correlation Coefficient analysis Grayscale Images},
        doi={10.1007/978-3-031-48888-7_34}
    }
    
  • Neetu Gupta
    Hemant Kumar Gupta
    K. Swapna
    Kommisetti Murthy Raju
    Rahul Srivastava
    Year: 2024
    Implementation and Performance Evaluation of Asymmetrical Encryption Scheme for Lossless Compressed Grayscale Images
    IC4S
    Springer
    DOI: 10.1007/978-3-031-48888-7_34
Neetu Gupta1,*, Hemant Kumar Gupta2, K. Swapna3, Kommisetti Murthy Raju4, Rahul Srivastava2
  • 1: Department of Computer Science and Engineering, Manipal University Jaipur
  • 2: Department of Electronics and Communication Engineering, Arya College of Engineering & I.T.
  • 3: Department of Electronics and Communication Engineering, Vaagdevi College of Engineering
  • 4: Department of Electronics and Communication Engineering, Shri Vishnu Engineering College for Women
*Contact email: neetu.gupta@jaipur.manipal.edu

Abstract

The employment of compression and encryption methods enables the transmission of images across a communication link with less bandwidth consumption and resistance against differential assaults. In this study, the gray scale images are compressed using the Huffman lossless compression approach. Each pixel is given a unique prefix code with a configurable length in this. The frequency of occurrence of characters has an inverse relationship with prefix code length. Asymmetrical RSA encryption is used to encrypt compressed images. In the RSA encryption technique, the encryption key is kept in the open as opposed to the decryption key, which is kept private. Analysis of the compression parameters, together with correlation coefficient and entropy analysis, is used to convey the effectiveness of suggested techniques. Five 512 × 512 grayscale test images are used as text images and to verify the results.

Keywords
Huffman Lossless Compression RSA asymmetrical encryption Correlation Coefficient analysis Grayscale Images
Published
2024-01-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-48888-7_34
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