Complete Key Recovery of a DNA-based Encryption and Developing a Novel Stream Cipher for Color Image Encryption: Bio-SNOW

• URL: http://arxiv.org/abs/2503.06925v1
• Date: Mon, 10 Mar 2025 05:09:47 GMT
• Title: Complete Key Recovery of a DNA-based Encryption and Developing a Novel Stream Cipher for Color Image Encryption: Bio-SNOW
• Authors: Yash Makwana, Anupama Panigrahi, Saibal K. Pal,
• Abstract summary: We propose a new DNA-based stream cipher-Bio-SNOW for image encryption.<n>We find that Bio-SNOW offers robust image encryption.<n>These results highlight Bio-SNOW as a promising DNA-based cipher for lightweight and image cryptography applications.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Recent studies have explored DNA-based algorithms for IoT security and image encryption. A similar encryption algorithm was proposed by Al-Husainy et. al. in 2021 Recently, Al-Husainy et al.in 2021, proposed an encryption algorithm based on DNA processes for Internet of Things(IoT) applications. Upon finding low avalanche effect in our experiments, we first report related-key attack and later propose a key recovery attack on full cipher, which generates the complete key with just two plaintext-ciphertext blocks with time complexity of O(1). Upon discovering these serious weaknesses, we improve the security of encryption algorithm against above reported attacks by employing a bio-inspired SBOX and adding some tweaks in the cipher. A lot of research has been done in developing image encryption algorithm based on DNA and chaotic maps. Inspired from the design of SNOW-3G, a well known cipher, primarily used in mobile communications and considering DNA-based functions as building blocks, we propose a new DNA-based stream cipher-Bio-SNOW. We discuss its security in response to various kinds of attacks and find that it passes all NIST randomness tests. We also find that the speed of Bio-SNOW is around twice that of SNOW-3G. Moreover, by means of histogram and correlation analysis, we find that Bio-SNOW offers robust image encryption. These results highlight Bio-SNOW as a promising DNA-based cipher for lightweight and image cryptography applications.

Related papers

• Quantum stream cipher and Quantum block cipher -The Era of 100 Gbit/sec real-time encryption- [0.0]
  In the theory of cryptology, the Shannon impossibility theorem states that the upper bound of the security of a plaintext against a ciphertext-only attack is the entropy of the secret key. Such challenges have been attempted with quantum stream cipher and quantum data locking as block cipher. Both ciphers are designed by means of differentiating the receiving performance of Bob with key and Eve without key according to the principle of quantum communication theory.
  arXiv  Detail & Related papers  (2025-04-24T04:28:17Z)
• Post-Quantum Homomorphic Encryption: A Case for Code-Based Alternatives [0.6749750044497732]
  Homomorphic Encryption (HE) allows secure and privacy-protected computation on encrypted data without the need to decrypt it. Most of the current PQHE algorithms are secured by lattice-based problems. Code-based encryption is a novel way to diversify post-quantum algorithms.
  arXiv  Detail & Related papers  (2025-03-28T06:49:22Z)
• Design of Quantum Stream Cipher: Part-I -Lifting the Shannon Impossibility Theorem- [0.0]
  This paper is dedicated to the late Professor H.P. Yuen in commemoration to our 50-year friendship. He invented the concept of quantum stream cipher. It is designed based on a completely different concept from conventional ciphers. It is based on hiding the ciphertext of mathematical cipher with quantum noise, achieving unprecedented information-theoretic security in any cipher.
  arXiv  Detail & Related papers  (2025-03-19T04:02:08Z)
• Cryptanalysis via Machine Learning Based Information Theoretic Metrics [58.96805474751668]
  We propose two novel applications of machine learning (ML) algorithms to perform cryptanalysis on any cryptosystem. These algorithms can be readily applied in an audit setting to evaluate the robustness of a cryptosystem. We show that our classification model correctly identifies the encryption schemes that are not IND-CPA secure, such as DES, RSA, and AES ECB, with high accuracy.
  arXiv  Detail & Related papers  (2025-01-25T04:53:36Z)
• Transformers -- Messages in Disguise [3.74142789780782]
  NN based cryptography is being investigated due to its ability to learn and implement random cryptographic schemes. R is comprised of three new NN layers: the (i) projection layer, (ii) inverse projection layer, and (iii) dot-product layer. This results in an ANC network that (i) is computationally efficient, (ii) ensures the encrypted message is unique, and (iii) does not induce any communication overhead.
  arXiv  Detail & Related papers  (2024-11-15T15:42:29Z)
• The Evolution of Cryptography through Number Theory [55.2480439325792]
  cryptography began around 100 years ago, its roots trace back to ancient civilizations like Mesopotamia and Egypt.<n>This paper explores the link between early information hiding techniques and modern cryptographic algorithms like RSA.
  arXiv  Detail & Related papers  (2024-11-11T16:27:57Z)
• Deep Learning and Chaos: A combined Approach To Image Encryption and Decryption [1.8749305679160366]
  We introduce a novel image encryption and decryption algorithm using hyperchaotic signals from the novel 3D hyperchaotic map, 2D memristor map, Convolutional Neural Network (CNN) The robustness of the encryption algorithm is shown by key sensitivity analysis, i.e., the average sensitivity of the algorithm to key elements.
  arXiv  Detail & Related papers  (2024-06-24T16:56:22Z)
• Lightweight Public Key Encryption in Post-Quantum Computing Era [0.0]
  Confidentiality in our digital world is based on the security of cryptographic algorithms. In the course of technological progress with quantum computers, the protective function of common encryption algorithms is threatened. Our concept describes the transformation of a classical asymmetric encryption method to a modern complexity class.
  arXiv  Detail & Related papers  (2023-11-24T21:06:42Z)
• RiDDLE: Reversible and Diversified De-identification with Latent Encryptor [57.66174700276893]
  This work presents RiDDLE, short for Reversible and Diversified De-identification with Latent Encryptor. Built upon a pre-learned StyleGAN2 generator, RiDDLE manages to encrypt and decrypt the facial identity within the latent space.
  arXiv  Detail & Related papers  (2023-03-09T11:03:52Z)
• Revocable Cryptography from Learning with Errors [61.470151825577034]
  We build on the no-cloning principle of quantum mechanics and design cryptographic schemes with key-revocation capabilities. We consider schemes where secret keys are represented as quantum states with the guarantee that, once the secret key is successfully revoked from a user, they no longer have the ability to perform the same functionality as before.
  arXiv  Detail & Related papers  (2023-02-28T18:58:11Z)
• A novel conservative chaos driven dynamic DNA coding for image encryption [0.0]
  The proposed image encryption algorithm is a dynamic DNA coding algorithm. The results are promising and prove the robustness of the algorithm against various common cryptanalytic attacks.
  arXiv  Detail & Related papers  (2022-07-12T11:40:09Z)
• A Variational Quantum Attack for AES-like Symmetric Cryptography [69.80357450216633]
  We propose a variational quantum attack algorithm (VQAA) for classical AES-like symmetric cryptography. In the VQAA, the known ciphertext is encoded as the ground state of a Hamiltonian that is constructed through a regular graph.
  arXiv  Detail & Related papers  (2022-05-07T03:15:15Z)
• Recovering AES Keys with a Deep Cold Boot Attack [91.22679787578438]
  Cold boot attacks inspect the corrupted random access memory soon after the power has been shut down. In this work, we combine a novel cryptographic variant of a deep error correcting code technique with a modified SAT solver scheme to apply the attack on AES keys. Our results show that our methods outperform the state of the art attack methods by a very large margin.
  arXiv  Detail & Related papers  (2021-06-09T07:57:01Z)
• Randomness Evaluation of a Genetic Algorithm for Image Encryption: A Signal Processing Approach [7.310043452300736]
  The GFHT cipher is a genetic algorithm that combines gene fusion (GF) and horizontal gene transfer (HGT) both inspired from antibiotic resistance in bacteria. The encryption starts by a GF of the principal key-agent in a single block, then HGT performs obfuscation where the genes are pixels and the chromosomes are the rows and columns.
  arXiv  Detail & Related papers  (2020-08-09T07:50:29Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.