Paper Info
Title
An MD5-Hirose Hashing Algorithm for Digital Image Watermarking
Abstract
Electronic media files like pictures, sound, and video are now available in public. The internet media has increasingly produced the availability of media resources with many copyright issues where editing and manipulating those files become a severe issue. The digitization of watermark is the best approach to manage this issue. This study provides a new model in identifying the authenticity of a digital media document using the new MD5-Hirose algorithm and is analyzed using data capacity, histogram, and hamming distance. The data capacity analysis results revealed that the eight (8) files consist of original, protected and same as original produced have the same byte result. In the histogram analysis, the four (4) image data used are based on the luminosity image which resulted in a match on the same amount of embedding and extracting process of the image files. In the hamming distance, there are also four (4) images that were tested. Each image has a generated hash value as to the original, protected and same as original files. The hamming distance results for all data yield to zero result. Thus, the zero result means the production of the security of files through watermark. Therefore, the results are proof that the new MD5-Hirose hashing algorithm was able to watermark information effectively.
Year
DOI
Venue
2018
10.1145/3301551.3301602
Proceedings of the 6th International Conference on Information Technology: IoT and Smart City
Keywords
Field
DocType
Hirose, MD5, capacity, histogram, watermarking
Histogram,Byte,Digital watermarking,Pattern recognition,Computer science,Watermark,Image file formats,Hamming distance,Hash function,Artificial intelligence,MD5
Conference
ISBN
Citations 
PageRank 
978-1-4503-6629-8
0
0.34
References 
Authors
11
3
Name
Order
Citations
PageRank
Florence Jean B. Talirongan100.34
Ariel M. Sison206.76
Ruji P. Medina315.79