Secure android IoT mobile and collaborative machine learning for controlling the management of enterprise  

作　　者：Hamza Mohammed Ridha Al-Khafaji Refed Adnan Jaleel 

机构地区：[1]Biomedical Engineering Department,Al-Mustaqbal University College,Hillah,Iraq [2]Information and Communication Engineering Department,Al-Nahrain University,Baghdad,Iraq

出　　处：《Journal of Control and Decision》2024年第1期15-25,共11页控制与决策学报（英文）

摘　　要：There is a need for increased security measures because of wide variety of android Internet of Thing(IoT)mobile devices that can communicate with each other via networks for controlling the management of enterprise.Elliptic Curve Deffie Hellman(ECDH)and Rivest Shamir Adleman(RSA)are used to secure data in android IoT phones in efficient manner.Android mobile can store a lot of data,including sensitive data.Protecting data saved on mobile has become a critical problem.In android IoT,Collaborative Machine Learning describes a method for collaboratively mining data,which makes it easier to manage and lowers cost of maintenance.To increase security in IoT phones,suggested system uses ECDH,RSA,and CML algorithms,which have been considered novelty of this method.RSA and ECDH are computed using time of decryption,encryption,and key generation.Conclusions show ECDH beats other alternatives like RSA.Finally,all users of the network have been tested.

关 键 词：IOT ECDH RSA CML ANDROID ENCRYPTION DECRYPTION 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]