Real-Time Methodology for Improving Cyber Security in Internet of Things Using Edge Computing During Attack Threats


Internet of things is buzzing everywhere due to its applications in defense, military, schools, hospitals, homes, end users. Due to this its vast applications and services, a huge addition using context aware devices has been seen in development of some sectors of applications and services. This set of devices generate huge amount of data that needs quick and technically precise security mechanism to protect all the generated data along with associated services. Complex event processing is an evolving trend that analyses contiguous streams of data using real time analysis. In this research article, a system to detect distributed intrusion attacks is developed and the quality of fulfilment is evaluated using Raspberry Pi. The experimental study shows that the proposed mechanism can be used in IoT devices with least computation process and the used CEP is technically feasible resolution to enhance the performance of intrusion detection systems in detecting distributed intrusion attacks IoT environment.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB Raspberry pi/arduino,other hardware components (please call) • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL