Intrusion Detection and Prevention System for IoT

Authors

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

Keywords:

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

Abstract

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.

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Published

2017-12-31

Issue

Section

Research Articles

How to Cite

[1]
Sali Pooja Anilbhai, Chandresh Parikh, " Intrusion Detection and Prevention System for IoT, IInternational 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.