An Approach to Detect Terror Related Activities on Net

February 2016
Vol-2, Issue-1
Paper ID: 1606
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Data Mining and Network Security
Keywords
Terrorist trend detection data mining user modeling anomaly detection log mining vector generator threshold clustering. ATDS (Advanced Terror Detecting System)
Abstract
In present scenario use of internet is in boom. But every coin has two sides, likewise the use of internet is beneficial as well as harmful to human being. Recent days many terror attacks were there on net. Such terror related activities are hazardous for peoples, organization and countries. Terrorist are using internet to spread terror and form terrorist groups. By using internet they easily do the same. To exchange information Internet infrastructure is used by different Terrorist cells and they recruit new members and supporters. To handle such situation we propose a system called ATDS.
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

# Name Institute / Affiliation
1 Miss. Vighne Sonali Pralhad Amrutvahini College Of Engg, Sangamner
2 Miss. Trimbake Priyanka Kishor Amrutvahini College Of Engg, Sangamner
3 Miss. Musmade Anjali Bhimraj Amrutvahini College Of Engg, Sangamner
4 Miss. Merukar Ashwini Rambhau Amrutvahini College Of Engg, Sangamner
5 Prof. Pandit Sandip Ramkrishna Amrutvahini College Of Engg, Sangamner

How to Cite

Use the following formats to cite this article in your research.

APA Style
Pralhad, Miss. Vighne Sonali, Kishor, Miss. Trimbake Priyanka, Bhimraj, Miss. Musmade Anjali, Rambhau, Miss. Merukar Ashwini, & Ramkrishna, Prof. Pandit Sandip (2016). An Approach to Detect Terror Related Activities on Net. International Journal of Advance Research and Innovative Ideas In Education, 2(1), 401-406.
MLA Style
Pralhad, Miss. Vighne Sonali, et al. "An Approach to Detect Terror Related Activities on Net." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 1, 2016, pp. 401-406.
IEEE Style
Miss. Vighne Sonali Pralhad, Miss. Trimbake Priyanka Kishor, Miss. Musmade Anjali Bhimraj, Miss. Merukar Ashwini Rambhau, and Prof. Pandit Sandip Ramkrishna, "An Approach to Detect Terror Related Activities on Net," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 1, pp. 401-406, 2016.
Vancouver Style
Pralhad Miss. Vighne Sonali, Kishor Miss. Trimbake Priyanka, Bhimraj Miss. Musmade Anjali, Rambhau Miss. Merukar Ashwini, Ramkrishna Prof. Pandit Sandip. An Approach to Detect Terror Related Activities on Net. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(1):401-406.
Harvard Style
Pralhad, Miss. Vighne Sonali, Kishor, Miss. Trimbake Priyanka, Bhimraj, Miss. Musmade Anjali, Rambhau, Miss. Merukar Ashwini, & Ramkrishna, Prof. Pandit Sandip (2016) 'An Approach to Detect Terror Related Activities on Net', International Journal of Advance Research and Innovative Ideas In Education, 2(1), pp. 401-406.
Chicago Style
Pralhad, Miss. Vighne Sonali, et al. "An Approach to Detect Terror Related Activities on Net." International Journal of Advance Research and Innovative Ideas In Education 2, no. 1 (2016): 401-406.
Turabian Style
Pralhad, Miss. Vighne Sonali, et al. "An Approach to Detect Terror Related Activities on Net." International Journal of Advance Research and Innovative Ideas In Education 2, no. 1 (2016): 401-406.

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