Within the framework of cooperation in the field of scientific research with ministries of other countries, universities and international research institutions, and in order to reinforce the directives of the Ministry of Higher Education and Scientific Research in opening up to the outside world and publishing in international journals, the tagged research was published.
Traffic Classification of IoT Devices by Utilizing Spike Neural Network
Learning Approach
In International Information and Engineering Technology Association, which is one of the sober journals in the Scopus container with a Cite Score (Cite score = 2.8). It is the result of a joint research collaboration between Prof. Dr. Nadia Adnan Shiltagh from the Department of Computer Engineering /College of Engineering / University of Baghdad with the Iraqi Health and University of Technology researchers. This research comes within a series of research papers that was published during this period in the matter of investing IoT and injecting it into a new model based on the Spike Neural Network (SNN) called IoT-Traffic Classification (IoT-TCSNN) to classify IoT devices traffic.
