دانلود رایگان مقاله انگلیسی سیستم تشخیص نفوذ برای اینترنت اشیا - 2016

ABSTRACT

The Internet of Things (IoT) is an ever-growing network of smart objects. It refers to the physical objects are capable of exchanging information with other physical objects. It introduce various services and human’s routine life depends on its available and reliable activities. The IoT requires multi-facet security solutions where the communication is secured with confidentiality, integrity, and authentication services; the network is protected against intrusions and disruptions; and the data inside a sensor node is stored in an encrypted form. Therefore, the challenge of implementing secure communication in the IoT network must be addressed. The IoT network is secured with encryption and authentication, but it cannot be protected against cyber-attacks. Hence, an Intrusion Detection System is needed. In this paper we proposed a Lightweight Intrusion Detection System to detect Hello flood attack and Sybil attack in IoT network.

5. CONCLUSION The Internet of Things is a smart network which connects physical objects to the internet for the purpose of communication. With the development of IoT, there are so many issues raised. Here we conclude that by end of this report, security issues of IoT cannot be ignored. We understand various security attacks and its impact which are made on IoT applications. We found various IDS approaches to detect those attacks in related work. Those approaches have some limitations like requires more computational resources for detection of attacks, no centralized mechanism is available to detect attacks. There is no solution available to detect Hello flood attack and Sybil attack in IoT network. We hope our proposed solution will greatly help to detect hello flood attack and Sybil attack in IoT. Here we are trying to give a solution which will add more security to the IoT network. In future we will implement the proposed method in Contiki OS with Cooja simulator.