caa a22 4500 606158871 CHVBK 20210128100622.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00521-014-1701-2 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1701-2 Data mining-based integrated network traffic visualization framework for threat detection [Elektronische Daten] [Amit Bhardwaj, Maninder Singh] In this speedy and voluminous digital world, the threat detection and reporting are a challenging job for rapid action. The present study deals with a strong and viable solution to overcome different threats, network security using data mining approach and techniques through visual graphical representation. Current research study explained and proposed a novel approach named as ‘integrated network traffic visualization system'. Nevertheless, current framework is working and based on data mining, further help out to demonstrates two new visualization schemes called as: Firstly Grid and secondly Platter. Per framework results, the Grid view is capable of displaying network traffic in different classified grids, based on application layer protocols. Additionally, Platter view visualizes campus area wireless network traffic on a single screen mechanized automatically adjusted with network size. These active schemes are significantly effective to identify and monitor the compromised machines and cuts down reaction time. The Natural Computing Applications Forum, 2014 Data mining nationallicence Grid view nationallicence Integrated network traffic visualization system nationallicence Platter view nationallicence Bhardwaj Amit L.M. Thapar School of Management, Thapar University, 147004, Patiala, Punjab, India aut Singh Maninder Computer Science Engineering Department, Thapar University, 147004, Patiala, Punjab, India aut Neural Computing and Applications Springer London 26/1(2015-01-01), 117-130 0941-0643 26:1<117 2015 26 521 https://doi.org/10.1007/s00521-014-1701-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1701-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bhardwaj Amit L.M. Thapar School of Management, Thapar University, 147004, Patiala, Punjab, India aut NATIONALLICENCE 700 1- Singh Maninder Computer Science Engineering Department, Thapar University, 147004, Patiala, Punjab, India aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/1(2015-01-01), 117-130 0941-0643 26:1<117 2015 26 521