Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12358/20069
Title | Enhancing of CryptoBI Algorithm for Data Security in Local Area Network |
---|---|
Title in Arabic | تحسين خوارزمية cryptobi لامن البيانات في الشبكة المحلية |
Abstract |
The CryptoBI version1 “A Novel Cryptography Method Based on Image for Key Generation” algorithm is a new type of symmetric encryption algorithm that prevents the attacks and avoids key exchange between the two sides of communication by creating the key in home on the sender/receiver machine. In this research, we implemented the algorithm CryptoBI version1 and created a prototype for a specific scenario to measure the performance and the strength against the cryptanalysis attack. As a result of this measurement, we found that the algorithm was weak against the cryptanalysis attack because it can be broken in a short time in munities. In addition, we found that the algorithm was less efficient than the Blowfish. According to unsatisfied results of these measurements, the performance and the strength of the CryptoBI version 1 are enhanced, the performance enhanced by removing the binarize step from the encryption/decryption algorithms but the strength against the cryptanalysis attack enhanced by randomize the scanning starting point of the key generation algorithm. The enhanced CryptoBI called (CryptoBI version2). The experiment results showed that the enhanced algorithm (CryptoBI version2) has higher data rate than CryptoBI version1, AES, Rijndael, DES, 3DES, RC2, RC6 and Blowfish algorithms. Furthermore, the CryptoBI version2 is stronger than the CryptoBI version1 against the cryptanalysis attack. This process is more flexible that any RGB image can be used for key generation as the key generation is directly based on the image content. The algorithm can generate a key of more than 512 bits according to data size. |
Authors | |
Supervisors | |
Type | رسالة ماجستير |
Date | 2015 |
Language | English |
Publisher | الجامعة الإسلامية - غزة |
Citation | |
License | ![]() |
Collections | |
Files in this item | ||
---|---|---|
file_1.pdf | 3.441Mb |