Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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

Authors
Cheng-De Zhang, Yan-Peng Pan
Corresponding Author
Cheng-De Zhang
Available Online December 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.78How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 365
EP  - 368
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.78
DO  - https://doi.org/10.2991/icwcsn-16.2017.78
ID  - Zhang2016/12
ER  -