EQOM: ENHANCED QUALITY OF EXPERIENCE (QOE) FRAMEWORK FOR MULTIMEDIA SERVICES
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER SCIENCE AND ELECTRONICS ENGINEERING
Author(s): ASIF ALI LAGHARI , KHALIL UR REHMAN LAGHARI , MAHAM AMAN , MUHAMMAD IBRAHIM CHANNA , MUKHTIAR AHMED MEMON
Abstract: We proposed Enhanced Quality of Experience Framework for Multimedia Services (EQoM) for assessment of multimedia services on the network. The proposed model is useful for those users that have less information about computer technology. In this framework, we use agent technology based on automatic software components for collecting the objective QoE and QoS parameters in real time. For subjective QoE, a user web interface facility is furnished to collect user ratings. EQoM framework monitors, analyzes, generates reports and changes policy without intervention of administrators.
- Publication Date: 24-Feb-2013
- DOI: 10.15224/978-981-07-5461-7-36
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HYBRID DESIGN APPROACH FOR EFFICIENT NETWORK INTRUSION DETECTION USING DATA MINING AND NETWORK PERFORMANCE EXPLORATION
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER SCIENCE AND ELECTRONICS ENGINEERING
Author(s): NARESHKUMAR D. HARALE , B B MESHRAM
Abstract: The primary goal of an Intrusion Detection System (IDS) is to identify intruders and differentiate anomalous network activity from normal one. Intrusion detection has become a significant component of network security administration due to the enormous number of attacks persistently threaten our computer networks and systems. Traditional Network IDS are limited and do not provide a comprehensive solution for these serious problems which are causing the many types security breaches and IT service impacts. They search for potential malicious abnormal activities on the network traffics; they sometimes succeed to find true network attacks and anomalies (true positive). However, in many cases, systems fail to detect malicious network behaviors (false negative) or they fire alarms when nothing wrong in the network (false positive). In accumulation, they also require extensive and meticulous manual processing and interference. Hence applying Data Mining (DM) techniques on the network traffic
- Publication Date: 24-Feb-2013
- DOI: 10.15224/978-981-07-5461-7-37
- Views: 0
- Downloads: 0