Neural and Quantum Cryptography in Big Data: A Review
Burak Ozcakmak, Alper Ozbilen, Uraz Yavanoğlu, Kubra CIn
Abstract
Burak Ozcakmak, Alper Ozbilen, Uraz Yavanoğlu, Kubra CIn
Abstract
That is a fact that the increasing volume of data brings security problems. Encryption measures taken against these emerging and increasing security problems have been examined, and it has been seen that encryption approaches are performed mainly in the areas of neural and quantum cryptography. According to these two of the advanced cryptography techniques are discussed and analyzed with their advantages and disadvantages. This article is committed to paper to be able to provide solutions for big data privacy and big data security problems with Neural and Quantum Cryptography techniques when questioning their feasibility.
OpenAlex reports 20 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
That is a fact that the increasing volume of data brings security problems. Encryption measures taken against these emerging and increasing security problems have been examined, and it has been seen that encryption approaches are performed mainly in the areas of neural and quantum cryptography. According to these two of the advanced cryptography techniques are discussed and analyzed with their advantages and disadvantages. This article is committed to paper to be able to provide solutions for big data privacy and big data security problems with Neural and Quantum Cryptography techniques when questioning their feasibility.
Key concepts: Cryptography, Quantum cryptography, Encryption, Computer science, Neural cryptography, Financial cryptography, Strong cryptography, Big data