Implementation of the Cryptocompression System with the Elgamal Algorithm and the Goldbach Codes G1 Compression Algorithm

Oct 13, 2025 by pynkocean.com 67 views

Implementation of the Cryptocompression System with the Elgamal Algorithm and the Goldbach Codes G1 Compression Algorithm

Introduction

In today's digital era, information security is a crucial aspect, especially when sending messages through electronic media. To maintain the confidentiality of the message and prevent unauthorized access, the application of cryptography is vital. One of the cryptographic methods that can be used is the Elgamal algorithm, developed by Taher Elgamal in 1985. This algorithm was originally used for digital signatures and was modified to function for encryption and message decryption. In this study, we explore the use of the Elgamal algorithm to encrypt messages, which will then be compressed using the Goldbach Codes G1 algorithm.

The Elgamal Algorithm

The Elgamal algorithm is a public-key encryption algorithm that relies on the difficulty of calculating discrete logarithms in a large prime module. This process requires significant efforts and resources, making it difficult to solve the problem. The safety of the Elgamal algorithm lies in its ability to produce different ciphertext despite being given the same plaintext. This adds to the level of further security to the message sent, as third parties who might try to decrypt the message cannot ensure that the message received is the same message.

The Goldbach Codes G1 Compression Algorithm

The Goldbach Codes G1 compression algorithm is a method used to compress large ciphertexts. The algorithm works by identifying patterns and relationships in the ciphertext and representing them in a more compact form. In this study, we used the Goldbach Codes G1 algorithm to compress the ciphertext generated by the Elgamal algorithm.

Implementation and Results

The test was carried out using four text files with *.txt extension that contain homogeneous plaintext with a variety of characters, namely 10, 100, 1000, and 10,000 characters. The analysis results show that the ciphertext size of the encryption process using the Elgamal algorithm becomes greater several times more than the size of plaintext. With details, for 10 characters, the ciphertext size increases to 50 characters, for 100 characters to 500 characters, for 1000 characters to 5000 characters, and for 10,000 characters to 50,000 characters.

After encrypting, the size of this large ciphertext was then successfully compressed using the Goldbach Codes G1 algorithm. The compression results show that the average compression ratio value is 14%, with a ratio of compression of 45.6% and space savings reaching 54.4%. These numbers indicate the effectiveness of compression methods in reducing ciphertext size, thus optimizing the required storage space.

Advantages of the Elgamal Algorithm

One of the advantages of the Elgamal algorithm is its ability to produce different ciphertext despite being given the same plaintext. This adds to the level of further security to the message sent, as third parties who might try to decrypt the message cannot ensure that the message received is the same message.

Conclusion

Future Work

Future work can focus on improving the compression ratio of the Goldbach Codes G1 algorithm and exploring other compression algorithms that can be used in conjunction with the Elgamal algorithm. Additionally, the study can be extended to include other types of plaintext and ciphertext, such as images and videos.

Recommendations

Based on the results of this study, we recommend the use of the Elgamal algorithm and the Goldbach Codes G1 compression algorithm in protecting important information in the digital age. This approach provides extra security for users in communicating and exchanging data, and can be used in a variety of applications, including secure messaging and data storage.

Limitations

One of the limitations of this study is the use of a small sample size of plaintext and ciphertext. Future studies can focus on increasing the sample size and exploring other types of plaintext and ciphertext. Additionally, the study can be extended to include other compression algorithms and encryption methods.

Conclusion

In conclusion, the implementation of the cryptocompression system using the Elgamal and Goldbach Codes G1 algorithm shows promising results in terms of safety and data storage efficiency. This approach is expected to be a strong alternative in protecting important information in the digital age, providing extra security for users in communicating and exchanging data.
Frequently Asked Questions (FAQs) about the Implementation of the Cryptocompression System with the Elgamal Algorithm and the Goldbach Codes G1 Compression Algorithm

Q: What is the Elgamal algorithm?

A: The Elgamal algorithm is a public-key encryption algorithm that relies on the difficulty of calculating discrete logarithms in a large prime module. This process requires significant efforts and resources, making it difficult to solve the problem.

Q: What is the Goldbach Codes G1 compression algorithm?

A: The Goldbach Codes G1 compression algorithm is a method used to compress large ciphertexts. The algorithm works by identifying patterns and relationships in the ciphertext and representing them in a more compact form.

Q: How does the Elgamal algorithm provide security?

A: The Elgamal algorithm provides security by producing different ciphertext despite being given the same plaintext. This adds to the level of further security to the message sent, as third parties who might try to decrypt the message cannot ensure that the message received is the same message.

Q: What are the advantages of using the Elgamal algorithm?

A: One of the advantages of the Elgamal algorithm is its ability to produce different ciphertext despite being given the same plaintext. This adds to the level of further security to the message sent.

Q: How does the Goldbach Codes G1 compression algorithm work?

A: The Goldbach Codes G1 compression algorithm works by identifying patterns and relationships in the ciphertext and representing them in a more compact form.

Q: What are the benefits of using the Goldbach Codes G1 compression algorithm?

A: The benefits of using the Goldbach Codes G1 compression algorithm include reducing the size of the ciphertext, optimizing the required storage space, and improving the efficiency of data transmission.

Q: Can the Elgamal algorithm and the Goldbach Codes G1 compression algorithm be used together?

A: Yes, the Elgamal algorithm and the Goldbach Codes G1 compression algorithm can be used together to provide a secure and efficient way of encrypting and compressing data.

Q: What are the limitations of the Elgamal algorithm and the Goldbach Codes G1 compression algorithm?

A: One of the limitations of the Elgamal algorithm and the Goldbach Codes G1 compression algorithm is the use of a small sample size of plaintext and ciphertext. Future studies can focus on increasing the sample size and exploring other types of plaintext and ciphertext.

Q: Can the Elgamal algorithm and the Goldbach Codes G1 compression algorithm be used in real-world applications?

A: Yes, the Elgamal algorithm and the Goldbach Codes G1 compression algorithm can be used in real-world applications, such as secure messaging and data storage.

Q: What are the future directions for the Elgamal algorithm and the Goldbach Codes G1 compression algorithm?

A: Future directions for the Elgamal algorithm and the Goldbach Codes G1 compression algorithm include improving the compression ratio of the Goldbach Codes G1 algorithm, exploring other compression algorithms that can be used in conjunction with the Elgamal algorithm, and extending the study to include other types of plaintext and ciphertext.

Q: How can the Elgamal algorithm and the Goldbach Codes G1 compression algorithm be implemented in practice?

A: The Elgamal algorithm and the Goldbach Codes G1 compression algorithm can be implemented in practice using a variety of programming languages and tools, such as Python, Java, and C++.