Performance and Security Analysis of Privacy-Preserved IoT Applications

The Internet of Things (IoT) is gradually becoming ubiquitous in various domains of our daily lives, its applications ranging from smart homes and wearable devices to healthcare and other sectors. IoT applications generate a large amount of data, which requires privacy preservation due to its sensitive nature. Like other web-based information systems, IoT must cope with the variety of Cyber Security and privacy risks that now disrupt organizations and have the potential to hold entire industries and even countries’ data for ransom. However, ensuring privacy preservation in IoT applications is challenging, as it involves protecting data while maintaining the desired level of performance and security. This work aims to analyze the privacy-preserving methods employed in IoT applications, conduct a performance analysis of these techniques based on latency and throughput, and assess the security of these techniques against various attacks.