SECURITY AND PRIVACY IN IOT SOFTWARE: A FRAMEWORK FOR DESIGNING SECURE DISTRIBUTED IOT APPLICATIONS

Abstract

The interaction of devices has been transformed with the advancement of the Internet of Things (IoT). The sharing of information and innovative solutions in the areas such as smart homes, healthcare, and heavy industrial automations have also been the result of IoT. Along with the rapid advancement in IoT, the systems have also encountered the issues like excessive loads on them due to continuously increasing number of interconnected machines. Hence, vulnerability to security threats and privacy violations have grown as major issues to IoT. A large number of currently available IoT solutions are short of comprehensive security standards. Due to such compromising level of security and privacy, both sensitive data and integrity of the distributed networks are always at risk. This research proposes a framework specifically created for strengthening the security and privacy in the distributed IoT applications. The study centers on the creation of a scalable solution with incorporation of lightweight encryption techniques, advanced privacy technologies, reliable access control methods, all with the suitability with IoT environments and less processing power. The suggested framework has passed the efficacy test through a series of simulations and real world scenarios. The results prove it a successful framework for strong security and speedy performance of IoT devices.