Volume 9 Issue 3 - January 2018

  • 1. An analytical approach to enhance the intrusion detection in internet of things network

    Authors : Raviteja Gaddam, Dr. M. Nandhini

    Pages : 258-267

    DOI : http://dx.doi.org/10.21172/1.93.43

    Keywords : Internet of Thingssecurityattacksintrusion detectionSnortRaspberry Pi

    Abstract :

    Advancement in technology promising the future by connecting everything. The Internet of Things (IoT) makes it possible to connect and access every device through the Internet. Billions of devices are connecting and the count is increasing. IoT essentially constitutes several smart devices that widely vary in size, complexity, and usage. IoT is driving the world towards a new era and it is changing the way of our lives. Even though this superior connectivity will certainly improve our quality of life, it also nurtures severe security and fidelity problems. IoT objects have limited resources which complicates in applying conventional security practices and they are more vulnerable to critical attacks like Denial-of-Service attack, eavesdropping, sinkhole attack, etc. This paper surveys on latest security features and solutions of IoT and also analyses several security challenges that are to be taken into consideration while enhancing the security of IoT. In the coming future, IoT will be the key hub to connect several smart objects that are with different technologies and allowing various applications to interact with them in a safe manner is the main focus of researchers. To enhance the security and to provide efficient intrusion detection in IoT network, we propose an architecture with a possible usage of single board computer like Raspberry Pi and Snort, an open-source intrusion detection tool. We also discuss some potential directions to deploy the enhanced Snort on Raspberry Pi device.

    Citing this Journal Article :

    Raviteja Gaddam, Dr. M. Nandhini, "An analytical approach to enhance the intrusion detection in internet of things network", https://www.ijltet.org/journal_details.php?id=926&j_id=4321, Volume 9 Issue 3 - January 2018, 258-267, #ijltetorg