Critical Inforamtion Detection for the Prevention and Control of Burst Cybercrime Events Under the Background of Big Data

DOI

10.2991/icwcsn-16.2017.78How to use a DOI?

Keywords

big data, cybercrime, burst event, prevention and control

Abstract

With the popularity of computer and internet, cybercrime is rampant. However, the characteristics of internet making it more difficult to monitor the cybercrime, such as openness anonymity high speed and across localization. In this paper, we propose a new method to prevent cybercrime. Critical Information are taken as important information to monitor burst cybercrime events in massive data. With the detection of characters about critical people and information, we can quickly discover the network crime, and then the government can intervene in time. Therefore, this method can reduce the harm of cybercrime, and the loss of state.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Cheng-De Zhang
AU  - Yan-Peng Pan
PY  - 2016/12
DA  - 2016/12
TI  - Critical Inforamtion Detection for the Prevention and Control of Burst Cybercrime Events Under the Background of Big Data
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 365
EP  - 368
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.78
DO  - 10.2991/icwcsn-16.2017.78
ID  - Zhang2016/12
ER  -