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.

Authors and Affiliations

Sali Pooja Anilbhai
M.Tech, IT & Telecommunication Department, RSU, Ahmedabad, India
Chandresh Parikh
Assistant Professor, IT & Telecommunication Department, RSU, Ahmedabad, India

Internet of things, IDS, IPS, Security, Hello Flood Attack, Sybil Attack.

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
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

ISSN : 2456-3307

Cite This Article :

Sali Pooja Anilbhai, Chandresh Parikh, "Intrusion Detection and Prevention System for IoT", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.771-776, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726189

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