Data Encryption Algorithms

Data encryption algorithms are mathematical procedures leveraged for carrying out encryptions on data. Using an algorithm coupled with encryption keys, information, or ordinary text is turned into meaningless coded messages known as ciphertexts that need a key for restoration to original forms. Ciphertexts are either transmitted via unsecured networks or harbored in storage platforms. Data encryption algorithms are leveraged to prevent fraud, such as hackers’ attempts to illegally access electronic information.

Each data encryption algorithm utilizes randomly created keys to carry out calculations. Some of the latest data encryption algorithms trends include homomorphic encryption, moving target defense (MTD), and honey encryption. Today, data is encrypted as it travels over the internet and when stored. Nevertheless, analysis of the transmitted or stored data needs decryption, creating a potential security loophole. Homomorphic encryption is an innovation that, when considered by organizations, solves the challenge of decrypting data for analysis, as it entirely side-steps the need to decrypt data before analysis.

On a different note, one of the most significant challenges faced in data security is utilizing the same code as hackers. Inspired by academic and military studies, MTD has revolutionized the technology domain by making traditional static attack surfaces dynamic. MTD introduces a certain level of uncertainty that hinders the hackers’ progress. By embracing MTD, organizations increase uncertainties. These uncertainties complicate the attack process. On a different note, honey encryption deters hackers by providing honey messages or fake plain-texts whenever attackers apply the wrong cipher keys. The honey messages seem legitimate, making it difficult for attackers to distinguish between false texts and actual texts.

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