Internet of Things (IoT) is a developing technology from recent decades which works on heterogeneous machines and technology interoperate without human involvement. The challenge of IoT automation is to coordinate autonomous devices, sensors and real-time applications for seamless communication. Many organizations and researchers have demonstrated various solutions for a wide range of IoT devices. However, the available system provides its specific IoT infrastructure, devices, APIs and data formats, which leads to interoperability issues. A new data interoperability solution MQTT-CoAP Interconnector (MCI) is designed for interoperability of MQTT and CoAP protocols at the application layer of IoT. It works as a bridge between the local message of MQTT and remote message of CoAP with data parsing capacity. MCIis the lightweight interoperability solution designed with consideration of resource-constrained devices of the IoT ecosystem. As compared to available open-source solutions, MCI performs better considering communication parameters like transmission time, throughput, latency and packet loss. Thus, the MCI interoperability solution can benefit to resolve one of the major issues of the IoT ecosystem.

The Internet of Things is an emerging technology for recent marketplace. In IoT, the heterogeneous devices are connected through the medium of the Internet for seamless communication. The devices used in IoT are resource-constrained in terms of memory, power and processing. Due to that, IoT system is unable to implement hi-end security for malicious cyber-attacks. The recent era is all about connecting IoT devices in various domains like medical, agriculture, transport, power, manufacturing, supply chain, education, etc. and thus need to be prevented from attacks and analyzed after attacks for legal action. The legal analysis of IoT data, devices and communication is called IoT forensics which is highly indispensable for various types of attacks on IoT system. This paper will review types of IoT attacks and its preventive measures in cyber security. It will also help in ascertaining IoT forensics and its challenges in detail. This paper will conclude with the high requirement of cyber security in IoT domains with implementation of standard rules for IoT forensics.