Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications

An Information Extracting Scheme for Netdisk

Authors
Jinkui Dong, Hua Zhang
Corresponding Author
Jinkui Dong
Available Online November 2016.
DOI
https://doi.org/10.2991/aiea-16.2016.48How to use a DOI?
Keywords
Netdisk; link extract; CAPTCHA; merged character; Drop Fall Algorithm.
Abstract

The netdisk not only supplies users with plenty of storage, but also provide the facility to share data. Therefore it has brought great convenience to users, but it also becomes the important channel for malicious and infringing applications to spread. Due to the extraction of netdisk information will get into trouble with the input of CAPTCHA, it's difficult to detect the applications. In this paper, we propose a method to extract downloading links of netdisk and another method based on the Drop Fall Algorithm to undertake the recognition of merged characters. We combine the numbers of characters and minimum values to confirm the initial points. The performance analysis shows that the method of extracting link is effective, and the recognition of characters is suitable for the netdisk environment.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-270-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/aiea-16.2016.48How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Jinkui Dong
AU  - Hua Zhang
PY  - 2016/11
DA  - 2016/11
TI  - An Information Extracting Scheme for Netdisk
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 266
EP  - 270
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.48
DO  - https://doi.org/10.2991/aiea-16.2016.48
ID  - Dong2016/11
ER  -