Visible to the public Biblio

Filters: Author is Hussain, Muzzammil  [Clear All Filters]
2020-06-01
Ansari, Abdul Malik, Hussain, Muzzammil.  2018.  Middleware Based Node Authentication Framework for IoT Networks. 2018 International Conference on Inventive Research in Computing Applications (ICIRCA). :31–35.
Security and protection are among the most squeezing worries that have developed with the Internet. As systems extended and turned out to be more open, security hones moved to guarantee insurance of the consistently developing Internet, its clients, and information. Today, the Internet of Things (IoT) is rising as another sort of system that associates everything to everybody, all over. Subsequently, the edge of resistance for security and protection moves toward becoming smaller on the grounds that a break may prompt vast scale irreversible harm. One element that eases the security concerns is validation. While diverse confirmation plans are utilized as a part of vertical system storehouses, a typical personality and validation plot is expected to address the heterogeneity in IoT and to coordinate the distinctive conventions exhibit in IoT. In this paper, a light weight secure framework is proposed. The proposed framework is analyzed for performance with security mechanism and found to be better over critical parameters.
2019-12-05
Hussain, Muzzammil, Swami, Tulsi.  2018.  Primary User Authentication in Cognitive Radio Network Using Pre-Generated Hash Digest. 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). :903-908.

The primary objective of Cognitive Radio Networks (CRN) is to opportunistically utilize the available spectrum for efficient and seamless communication. Like all other radio networks, Cognitive Radio Network also suffers from a number of security attacks and Primary User Emulation Attack (PUEA) is vital among them. Primary user Emulation Attack not only degrades the performance of the Cognitive Radio Networks but also dissolve the objective of Cognitive Radio Network. Efficient and secure authentication of Primary Users (PU) is an only solution to mitigate Primary User Emulation Attack but most of the mechanisms designed for this are either complex or make changes to the spectrum. Here, we proposed a mechanism to authenticate Primary Users in Cognitive Radio Network which is neither complex nor make any changes to spectrum. The proposed mechanism is secure and also has improved the performance of the Cognitive Radio Network substantially.