Graph Coloring Based on Evolutionary Algorithms to Support Data Hiding Scheme on Medical Images

被引：4
|
作者：
Astuti, Widi [1 ]
Adiwijaya [1 ]
机构：
[1] Telkom Univ, Sch Comp, Jalan Telekomunikasi 1, Bandung 40257, Indonesia
来源：
2ND INTERNATIONAL CONFERENCE OF GRAPH THEORY AND INFORMATION SECURITY | 2015年 / 74卷
关键词：
Data hiding; genetic algorithm; graph coloring; particle swarm optimization; vector quantization;
D O I：
10.1016/j.procs.2015.12.095
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Medical record is a data that must be protected since only authorized person is allowed to access it. The problem is called confidentiality problem. Confidentiality problem can be solved without addition of files but by inserting the medical record into its corresponding medical image. In the previous research([1]), a medical record was inserted into the region of non interest of medical image using a scheme which is adopted from([2]). In this paper, we provide a performance comparison of the data hiding scheme based on graph coloring using two evolutionary algorithms, namely genetic algorithm and particle swarm optimization. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码：173 / 177
页数：5
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