Title | Encryption Algorithm Based on Neural Network |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Saraswat, Pavi, Garg, Kanika, Tripathi, Rajan, Agarwal, Ayush |
Conference Name | 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU) |
Keywords | auto associative neural network, Biological neural networks, Ciphers, Collaboration, communication network, computer network security, confidential data, cryptography, decryption, decryption techniques, Encryption, encryption algorithm, Encryption technique, Metrics, network communication, Network security, neural nets, Neural Network Security, policy-based governance, pubcrawl, public key cryptography, Receivers, security, sensitive data, soft computing, unauthenticated users, unsecure network |
Abstract | Security is one of the most important needs in network communication. Cryptography is a science which involves two techniques encryption and decryption and it basically enables to send sensitive and confidential data over the unsecure network. The basic idea of cryptography is concealing of the data from unauthenticated users as they can misuse the data. In this paper we use auto associative neural network concept of soft computing in combination with encryption technique to send data securely on communication network. |
DOI | 10.1109/IoT-SIU.2019.8777637 |
Citation Key | saraswat_encryption_2019 |