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  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM22047

AUTO-BLOGGER

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM22047

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AC

Ayushi Chandra

KK

Kamlesh Kumar

AS

Aryan Sonker

AG

Anuj Gautam

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Abstract

Running automatic scripts against well-known content sources or syndicated feeds and assembling the results into blog sites is known as auto-blogging. Unfortunately, a criminal ecosystem is developing to profit from the linked technologies, unlike mashups, which aim to improve the Internet experience by fusing various material sources in creative ways. A rogue site can impersonate a reputable site while running their own ads for profit by mass-scraping content from real ad-supported websites, removing the ads, credit, and by rewriting links. In order to address the issue of traceability when material is copied in bulk from one website and hosted on another, we present a forensic technique. The content is first minified with a sparse encoding tailored to the user’s available steganographic bandwidth, then watermarked repeatedly with different IDs.

KEYWORDS

Automatic blogging video to text blogging.

Cite This Article

Ayushi Chandra, Kamlesh Kumar, Aryan Sonker, Anuj Gautam, "AUTO-BLOGGER," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM22047

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Publication Date

5/26/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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