Real time Application of Malware Patching on Decentralized IoT Systems Through Disease Spread Analysis


IoT networks continue to grow as devices become more accessible and affordable. Due to the mass exodus of production and use, there is room for hackers to take advantage of vulnerabilities in the system. The cloud-based infrastructure although creating an advantage in terms of growing the resources for any given IoT network, the disadvantage in terms of security intrusion are many. In this paper, we analyze a proposed hierarchical distance bound security model. This model takes on a more efficient approach to patching large IoT systems to mitigate the spread of several different types of malware attacks. We utilize SEIR disease spread model to measure the effectiveness of the security model's mitigation of malware spread in the IoT network.



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