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Enhancing Cryptanalysis of DES encryption using Neural Networks and Firefly algorithms

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Enhancing Cryptanalysis of DES Encryption using Neural Netwo...

2023 International Conference on Evolutionary algorithms and Soft Computing Techniques, EASCT 2023

作者： Balaji, Varshini Krishnamurthy, Vallidevi Vellore Institute of Technology School of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350313413

In today's cryptographic landscape, evaluating encryption algorithms' integrity is crucial. Neural networks offer promise for extracting information from Data encryption Standard (DES) encrypted data. This report explores diverse methods of DES attacks using deep learning techniques. The primary aim is to decode DES-encrypted data with neural networks, extending this to contemporary encryption algorithms. The proposed system uses Long Short-Term Memory (LSTM) networks to improve plaintext reconstruction from DES-encrypted data. It evaluates LSTM network performance metrics and seeks to predict critical patterns. Findings reveal the neural network's impressive ability to predict plaintext with 98% accuracy after 250k training iterations. However, performance varies with the encryption key, and complete plaintext recreation remains challenging. This method also experiments using the Firefly algorithm to enhance key prediction, improving overall efficiency. Artificial Neural Networks (ANNs) for classification tasks on encrypted data show promise for practical applications. Future work can focus on enhancing classification accuracy, exploring diverse data types, and studying the critical impact on performance metrics. © 2023 IEEE.

关键词： Backpropagation Cryptanalysis Cybersecurity Data encryption Standard - DES Attacks encryption algorithms Long Short-Term Memory (LSTM) Neural Networks

Investigating Effect of Optimization algorithms on Chaos Based Image encryption 8

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Investigating Effect of Optimization Algorithms on Chaos Bas...

8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024

作者： Ince, Cemile Ince, Kenan İnönü University Computer Engineering Dept Malatya Turkey İnönü University Software Engineering Dept Malatya Turkey

ISBN: (纸本)9798331531492

Image encryption is a specialized subfield of cryptography, distinguished by the high correlation between neighboring pixels, which necessitates unique approaches to disrupt this correlation. While all encryption approaches fundamentally involve confusion and diffusion operators, the specific implementations of these operators can vary significantly. In recent years, approaches that combine chaos theory with optimization techniques, which aim to find the optimal solution among numerous possibilities, have become prevalent. These studies, which aim to enhance the security and efficiency of the encryption process, such as by selecting the initial values of chaotic maps in regions with high chaotic behavior, show promise. This study examines the most commonly applied optimization methods in the field of cryptography within the context of image encryption, providing a comprehensive overview. Additionally, it empirically demonstrates that the optimization techniques employed in image encryption studies improve encryption quality. © 2024 IEEE.

关键词： encryption algorithms

Constructing Next-Generation IoT Security: Embedded Smart Contracts and Multi-Layer Security Protection

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IEEE Internet of Things Journal 2025年

作者： Zhang, Linchao Hang, Lei Zu, Keke Wang, Yi Yang, Kun University of Electronic Science and Technology of China Quzhou324003 China Department of Fintech Shanghai Normal University Tianhua College Shanghai201815 China

With the rapid development of Internet of Things (IoT) technology, interconnectivity between devices has become increasingly widespread. However, traditional IoT security measures struggle to cope with increasingly complex security threats and cannot fully exploit the advantages of interconnectivity due to the limited computational resources of the devices. To address this, we propose a blockchain-based IoT security framework comprising Wallet Component, Smart Contract Component, MultiLayer Security Component, and Common Component. This framework, designed for resource-constrained environments and embedded into cellular communication modules, enables multi-end offloading of computational tasks and secure transmission for IoT devices. Experimental results show that the data processing capability of the decentralized network architecture based on this framework is improved by 115.06% compared to traditional methods, enhances the security and autonomy of IoT devices, and significantly strengthens the degree of IoT decentralization. This provides a valuable reference for designing next-generation IoT security architectures. © 2014 IEEE.

关键词： Blockchain encryption algorithms IoT Security Smart Contracts

Cryptography-Based Privacy-Preserving Method for Distributed Optimization over Time-Varying Directed Graphs with Enhanced Efficiency

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IEEE Transactions on Automatic Control 2025年

作者： Liu, Bing Xie, Furan Chai, Li Wuhan University of Science and Technology Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan430081 China Zhejiang University College of Control Science and Engineering Hangzhou310027 China

In this paper, we study the privacy-preserving distributed optimization problem, aiming to prevent attackers from stealing the private information of agents. For this purpose, we propose a novel privacy-preserving algorithm based on the Advanced encryption Standard (AES), which is both secure and computationally efficient. By appropriately constructing the underlying weight matrices, our algorithm can be applied to time-varying directed networks. We show that the proposed algorithm can protect an agent's privacy if the agent has at least one honest neighbor at the initial iteration. Under the assumption that the objective function is strongly convex and Lipschitz smooth, we rigorously prove that the proposed algorithm has a linear convergence rate. Finally, the effectiveness of the proposed algorithm is demonstrated by numerical simulations of the canonical sensor fusion problem. © 2025 IEEE.

关键词： encryption algorithms

A Note on Efficient Privacy-Preserving Similarity Search for Encrypted Vectors

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arXiv 2025年

作者： Zhao, Dongfang University of Washington United States

Traditional approaches to vector similarity search over encrypted data rely on fully homomorphic encryption (FHE) to enable computation without decryption. However, the substantial computational overhead of FHE makes it impractical for large-scale real-time applications. This work explores a more efficient alternative: using additively homomorphic encryption (AHE) for privacy-preserving similarity search. We consider scenarios where either the query vector or the database vectors remain encrypted, a setting that frequently arises in applications such as confidential recommender systems and secure federated learning. While AHE only supports addition and scalar multiplication, we show that it is sufficient to compute inner product similarity—one of the most widely used similarity measures in vector retrieval. Compared to FHE-based solutions, our approach significantly reduces computational overhead by avoiding ciphertext-ciphertext multiplications and bootstrapping, while still preserving correctness and privacy. We present an efficient algorithm for encrypted similarity search under AHE and analyze its error growth and security implications. Our method provides a scalable and practical solution for privacy-preserving vector search in real-world machine learning applications. © 2025, CC BY-NC-ND.

关键词： encryption algorithms

Modifying Blowfish Algorithm Using Permutation Techniques 24

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Modifying Blowfish Algorithm Using Permutation Techniques

24th International Symposium INFOTEH-JAHORINA, INFOTEH 2025

作者： Wenceslao, Jon Laurence B. Wenceslao, Felicisimo V. Cerna, Patrick D. Northern Iloilo State University College of Information and Computing Studies Estancia Iloilo Philippines State University of Northern Negros Graduate Programs Negros Occidental Philippines

ISBN: (纸本)9798331515799

This paper proposes a modified version of the Blowfish Algorithm using permutation techniques. These techniques are key parts of the F-function of the algorithm. The first modification is in the bit operations while the second part employs the cyclical Shift Rows operation. We conducted simulations to test the security strength of the modified Blowfish Algorithm in changing one bit from two input strings. The avalanche effect showed 54.687% and 53.125% changes in the output bits thus making our model secure. We also tested the execution performance of the original Blowfish Algorithm and the modified Blowfish Algorithm in the encryption and decryption processes. While the original version performs better than the modified version, no statistical difference was found between the two versions. © 2025 IEEE.

关键词： encryption algorithms

Efficient algorithms for Isogeny Computation on Hyperelliptic Curves: Their Applications in Post-Quantum Cryptography

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arXiv 2025年

作者： El Baraka, Mohammed Ezzouak, Siham Faculty of Sciences Dhar Al Mahraz Sidi Mohammed Ben Abdellah University Fez Morocco

We present efficient algorithms for computing isogenies between hyperelliptic curves, leveraging higher genus curves to enhance cryptographic protocols in the post-quantum context. Our algorithms reduce the computational complexity of isogeny computations from O(g4) to O(g3) operations for genus 2 curves, achieving significant efficiency gains over traditional elliptic curve methods. Detailed pseudocode and comprehensive complexity analyses demonstrate these improvements both theoretically and empirically. Additionally, we provide a thorough security analysis, including proofs of resistance to quantum attacks such as Shor’s and Grover’s algorithms. Our findings establish hyperelliptic isogeny-based cryptography as a promising candidate for secure and efficient post-quantum cryptographic systems. © 2025, CC BY.

关键词： encryption algorithms

Lattice Based Crypto Breaks in a Superposition of Spacetimes

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arXiv 2025年

作者： Aggarwal, Divesh Agrawal, Shashwat Kumar, Rajendra National University of Singapore Singapore Indian Institute of Technology Delhi India

We explore the computational implications of a superposition of spacetimes, a phenomenon hypothesized in quantum gravity theories. This was initiated by Shmueli (2024) where the author introduced the complexity class BQPOI consisting of promise problems decidable by quantum polynomial time algorithms with access to an oracle for computing order interference. In this work, it was shown that the Graph Isomorphism problem and the Gap Closest Vector Problem (with approximation factor O(n3/2)) are in BQPOI. We extend this result by showing that the entire complexity class SZK (Statistical Zero Knowledge) is contained within BQPOI. This immediately implies that the security of numerous lattice based cryptography schemes will be compromised in a computational model based on superposition of spacetimes, since these often rely on the hardness of the Learning with Errors problem, which is in SZK. © 2025, CC BY.

关键词： encryption algorithms

Electromagnetic Side-Channel Analysis of PRESENT Lightweight Cipher

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arXiv 2025年

作者： Gunathilake, Nilupulee A. Lo, Owen Buchanan, William J. Al-Dubai, Ahmed Blockpass ID Lab Edinburgh Napier University United Kingdom

Side-channel vulnerabilities pose an increasing threat to cryptographically protected devices. Consequently, it is crucial to observe information leakages through physical parameters such as power consumption and electromagnetic (EM) radiation to reduce susceptibility during interactions with cryptographic functions. EM side-channel attacks are becoming more prevalent. PRESENT is a promising lightweight cryptographic algorithm expected to be incorporated into Internet-of-Things (IoT) devices in the future. This research investigates the EM side-channel robustness of PRESENT using a correlation attack model. This work extends our previous Correlation EM Analysis (CEMA) of PRESENT with improved results. The attack targets the Substitution box (S-box) and can retrieve 8 bytes of the 10-byte encryption key with a minimum of 256 EM waveforms. This paper presents the process of EM attack modelling, encompassing both simple and correlation attacks, followed by a critical analysis. © 2025, CC BY.

关键词： encryption algorithms