International Conference on Artificial Intelligence, Robotics & IoT
Pandit Deendayal Petroleum University, India
Title: Classifi cation of VoIP packets and Network Anomaly Detection using Fuzzy Logic
Biography: Hansal Shah
To solve these problems we have tried to mount a fuzzy logic based inference system to classify the queuing-incoming packets (voice, video and text). Network management is becoming increasingly essential with the acute rise in the number of applications that use computer networks and the advent of ubiquitous internet access. Thus availability, integrity and competency of computer networks becomes a priority today and a crucial resource to be managed. To assess the effectiveness of these networks, the traffic parameters need to be analysed.
This paper attempts to apply a fuzzy logic scheme --based on descriptors like energy, centrality, concentration etc. to recognise whether an instance represents an anomaly or not. Indeed the paper proposes an intelligent system with the capability to monitor the network's traffic (specifically VoIP) flow. The proposed anomaly detection system exposes network problems autonomously issuing alarms when a possible problem is present.