Manuscript Number : CSEIT1726189
Intrusion Detection and Prevention System for IoT
Authors(2) :-Sali Pooja Anilbhai, Chandresh Parikh The Internet of Things (IoT) is fast emerging network of smart objects and devices. IoT infrastructure is vulnerable to various attacks, security and privacy are the key issues for IoT applications. IoT requires various 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 and protected communication in the IoT network must be addressed. The IoT network is secured with encryption and authentication, but it cannot be protected and secured against cyber-attacks. Hence, an Intrusion Detection and Prevention System is needed. This Paper presents a design of Intrusion Detection and Prevention System to detect and prevent Hello flood attack and Sybil attack in IoT network which is implemented in Contiki OS with Cooja simulator.
Sali Pooja Anilbhai Internet of things, IDS, IPS, Security, Hello Flood Attack, Sybil Attack. Publication Details Published in : Volume 2 | Issue 6 | November-December 2017 Article Preview
M.Tech, IT & Telecommunication Department, RSU, Ahmedabad, India
Chandresh Parikh
Assistant Professor, IT & Telecommunication Department, RSU, Ahmedabad, India
Date of Publication : 2017-12-31
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 771-776
Manuscript Number : CSEIT1726189
Publisher : Technoscience Academy
Journal URL : http://ijsrcseit.com/CSEIT1726189