2026-05-10T02:44:47.375Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

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Cryptanalysis and Security Evaluation Using Artificial Neural Networks 2020 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/7709 https://www.routledge.com/Internet-of-Everything-IoE/book-series/CRCIOESPP N. Vukobrat S. Adamović N. Maček M. Saračević M. Gnjatović This chapter introduces a novel methodology for determining mutual information between secret key and cipher message. The methodology is based on using artificial intelligence, specifically neural networks, to determine correlations that can be found in the weak and medium encryption algorithms. Furthermore, this chapter presents a relevant survey in the field of research with a similar purpose, a detailed description of the developing environment, a theoretical overview of the matter, as well as a detailed methodology description with additional results. The final results show the performance of the proposed methodology, as well as the results of applying it to today's most secured algorithms. Based on the obtained results, this chapter proves the efficiency of the proposed methodology. Besides, having AES and DES as reference algorithms, it is sure that this methodology could be applied to real-world algorithms. bookPart CRC Press, Taylor & Francis, USA) 1 24 Integration of WSNs into Internet of Things: A Security Perspective" (Series: Internet of Everything’s (IoE) : Security and Privacy Paradigm