GET THE APP

Classification of VoIP packets and network anomaly detection using fuzzy logic
..

Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Classification of VoIP packets and network anomaly detection using fuzzy logic


International conference on Artificial Intelligence, Robotics & IoT

August 21-22, 2018 Paris, France

Hansal T Shah

Pandit Deendayal Petroleum University,
India

Scientific Tracks Abstracts: Adv Robot Autom

Abstract :

The Voice over Internet Protocol (VoIP) technology has proven to be revolutionary and cheap because it does not need new infrastructure as it has an underlying available global IP infrastructure. However the transition from PSTN to VoIP has not yet been so poignant because of the compromised Quality of Service (QoS) such as delay, packet drop and packet loss that cause unstable voice packet delivery, packet jitter, packet loss and echo. Priority queuing algorithm offers an easy escape to reduce delays, however it can result into repetition and next queue remaining starved. To solve these problems we have tried to mount a fuzzy logic based inference system to classify the queuingincoming 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 become a priority today and a crucial resource to be managed. To assess the effectiveness of these networks, the traffic parameters need to be analyzed. This paper attempts to apply a fuzzy logic scheme based on descriptors like energy, centrality, concentration etc., to recognize 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.

Biography :

Hansal T Shah is a Computer Science and Engineering student who has completed his 2nd year from Pandit Deendayal Petroleum University. Multidisciplinary research topics interest him. He is a cisco certified network associate (CCNA) and a cisco certified network professional (CCNP) in routing and switching. He is a fellowship holder of the premier research scholarship of India—the KVPY Fellowship. He has presented more than 3 papers in reputed conferences at national level and has been helpful to multiple fellow students for their research interests. He is also a Co-founder of an IT based start-up that is under incubation under central government funding scheme.

E-mail: shahhansal01@gmail.com

 

Google Scholar citation report
Citations: 1127

Advances in Robotics & Automation received 1127 citations as per Google Scholar report

Advances in Robotics & Automation peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward