Paper Title
Data Security in Internet of Things (IOT)

Abstract
Internet of Things (IoT) is a giant network of connected physical devices to internet. As a result, security, specifically the ability to detect compromised nodes, as well as gathering and storing evidence of an attack or malicious activity, emerges as a top priority for effective IoT network deployment. There are various issues in internet of things security that are demanding for solutions, such as RFID tag security, wireless security, network transmission security, privacy protection and information processing security. In this paper the major components of IoT is presented. We emphasize on data security issues in IoT network and tried to provide remedies of security issues. We developed a framework in python to prevent the issues. Logistic regression, a machine learning algorithm is used for analysis which comprises of various folds to read data and execute the algorithm. Keywords - IoT, network security, issues & remedies, logistic regression, etc.