Optimal Adaptive Genetic Algorithm Based Hybrid Signcryption Algorithm for Information Security

作     者：R.Sujatha M.Ramakrishnan N.Duraipandian B.Ramakrishnan 

作者机构：Velammal Engineering CollegeAnna UniversityIndia School of Computer ApplicationsMadurai Kamarajar UniversityIndia Department of Computer Science and Research CentreS.T.Hindu CollegeMadurai Kamarajar UniversityIndia 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2015年第105卷第5期

页      面：47-68页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Hybrid Signcryption KEM DEM Adaptive Genetic Algorithm EllipticCurve Cryptography 

摘      要：The functions of digital signature and public key encryption are simultaneously fulfilled by signcryption,which is a cryptographic *** securely communicate very large messages,the cryptographic primitive called signcryption efficiently implements the same and while most of the public key based systems are suitable for small messages,hybrid encryption(KEM-DEM)provides a competent and practical *** this paper,we develop a hybrid signcryption *** hybrid signcryption is based on the KEM and DEM *** KEM algorithm utilizes the KDF technique to encapsulate the symmetric *** DEM algorithm utilizes the Adaptive Genetic Algorithm based Elliptic curve cryptography algorithm to encrypt the original ***,for the security purpose,we introduce the three games and we proved the attackers fail to find the security attributes of our proposed signcryption *** proposed algorithm is analyzed with Daniel of Service(DOS),Brute Force attack and Man In Middle(MIM)attacks to ensure the secure data transaction.