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Swarm Intelligence based linear cryptanalysis of four-round Data Encryption Standard algorithm

机译:基于群体智能的四轮数据加密标准算法的线性密码分析

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The proliferation of computers, internet and wireless communication capabilities into the physical world has led to ubiquitous availability of computing infrastructure. With the expanding number and type of internet capable devices and the enlarged physical space of distributed and cloud computing, computer systems are evolving into complex and pervasive networks. Amidst the aforesaid rapid growth in technology, secure transmission of data is also equally important. The amount of sensitive information deposited and transmitted over the internet is absolutely critical and needs principles that enforce legal and restricted use and interpretation of data. The data needs to be protected from eavesdroppers and potential attackers who undermine the security processes and perform actions in excess of their permissions. Cryptography algorithms form a central component of the security mechanisms used to safeguard network transmissions and data storage. As the encrypted data security largely depends on the techniques applied to create, manage and distribute the keys, therefore a cryptographic algorithm might be rendered useless due to poor management of the keys. This paper presents a novel computational intelligence based approach for known ciphertext-only cryptanalysis of four-round Data Encryption Standard algorithm. In ciphertext-only attack, the encryption algorithm used and the ciphertext to be decoded are known to cryptanalyst and is termed as the most difficult attack encountered in cryptanalysis. The proposed approach uses Swarm Intelligences to deduce optimum keys according to their fitness values and identifies the best keys through a statistical probability based fitness function. The results suggest that the proposed approach is intelligent in finding missing key bits of the Data Encryption Standard algorithm.
机译:计算机,互联网和无线通信功能在物理世界中的普及已导致计算基础架构的无处不在。随着具有Internet功能的设备的数量和类型不断增加,以及分布式和云计算的物理空间不断扩大,计算机系统正在演变为复杂而普遍的网络。在上述技术的快速发展中,数据的安全传输也同样重要。在Internet上存储和传输的敏感信息的数量绝对至关重要,并且需要强制执行合法和受限制的数据使用和解释的原则。需要保护数据,防止窃听者和潜在的攻击者破坏安全流程并执行超出其权限的操作。密码算法构成用于保护网络传输和数据存储的安全机制的核心组成部分。由于加密数据的安全性在很大程度上取决于应用于创建,管理和分发密钥的技术,因此,由于密钥管理不善,加密算法可能变得无用。本文提出了一种基于计算智能的新颖方法,用于四轮数据加密标准算法的已知纯密文加密分析。在仅密文攻击中,密码分析器已知所使用的加密算法和要解码的密文,并被称为密码分析中遇到的最困难的攻击。所提出的方法使用Swarm Intelligence根据其适合度值推导最佳键,并通过基于统计概率的适合度函数识别最佳键。结果表明,所提出的方法在发现数据加密标准算法的丢失关键位方面是明智的。

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