| Title | Key-Based Enhancement of Data Encryption Standard For Text Security |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Reyad, Omar, Mansour, Hanaa M., Heshmat, Mohamed, Zanaty, Elnomery A. |
| Conference Name | 2021 National Computing Colleges Conference (NCCC) |
| Date Published | mar |
| Keywords | CBC mode, composability, Computational modeling, cyber physical system security framework, cyber physical systems, Data Encryption Standard, Data models, efficient encryption, Encryption, Key-Distribution Function, merging, pubcrawl, Real-time Systems, resilience, Resiliency, security, Streaming media, Text Security |
| Abstract | Securing various data types such as text, image, and video is needed in real-time communications. The transmission of data over an insecure channel is a permanent challenge, especially in mass Internet applications. Preserving confidentiality and integrity of data toward malicious attacks, accidental devastation, change during transfer, or while in storage must be improved. Data Encryption Standard (DES) is considered as a symmetric-key algorithm that is most widely used for various security purposes. In this work, a Key-based Enhancement of the DES (KE-DES) technique for securing text is proposed. The KEDES is implemented by the application of two steps: the first is merging the Odd/Even bit transformation of every key bit in the DES algorithm. The second step is replacing the right-side expansion of the original DES by using Key-Distribution (K-D) function. The K-D allocation consists of 8-bits from Permutation Choice-1 (PC-1) key outcome. The next 32-bits outcomes from the right-side of data, there is also 8-bits outcome from Permutation Choice-2 (PC-2) in each round. The key and data created randomly, in this case, provide adequate security and the KEDES model is considered more efficient for text encryption. |
| DOI | 10.1109/NCCC49330.2021.9428818 |
| Citation Key | reyad_key-based_2021 |
Key-Based Enhancement of Data Encryption Standard For Text Security