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

Widi Astuti | Zendy; Adiwijaya Adiwijaya | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Widi Astuti,

Adiwijaya Adiwijaya

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.12.095

Subject(s) - computer science , confidentiality , scheme (mathematics) , particle swarm optimization , graph coloring , algorithm , graph , genetic algorithm , evolutionary algorithm , artificial intelligence , theoretical computer science , machine learning , computer security , mathematics , mathematical analysis

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research