Authentic Patient Data and Optimization Process Through Cryptographic Image or sound as Key Using Genetic Algorithm and Particle Swarm Optimization (PSO) in Body Area Network
Body area network, genetic algorithm, particle swarm optimization
Wireless Body area network can be secured by both genetic algorithm and particle swarm optimization algorithm both. Although, IoT-based patient health status monitoring has become very popular, monitoring patients remotely outside of hospital settings requires augmenting the capabilities of IoT with other resources for health data storage and processing. In this paper, we propose an IoT-based authentication and optimization process through image key management using a genetic algorithm in body area network. Recent advances in wireless communications technologies for medical/fitness applications
"Authentic Patient Data and Optimization Process Through Cryptographic Image or sound as Key Using Genetic Algorithm and Particle Swarm Optimization (PSO) in Body Area Network ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.3, Issue 6, page no.27-30, June-2018, Available :https://ijnrd.org/papers/IJNRD1806006.pdf
Volume 3
Issue 6,
June-2018
Pages : 27-30
Paper Reg. ID: IJNRD_180113
Published Paper Id: IJNRD1806006
Downloads: 000118825
Research Area: Engineering
Country: -, -, -
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
