Malicious Information Jamming Algorithms of Content Attack

Abstract:

To find malicious information jamming countermeasures and techniques of content attack, the paper proposed two malicious jamming algorithms, including the Blind Jamming Algorithm and the Precise Jamming Algorithm. Experiments, conducted on 3,183 texts with the Chinese Lexical Analysis System (ICTCLAS) shows the effectiveness of Blind Jamming Algorithm, making the accuracy rate of Chinese word segmentation from 94% dropped to 43%. Besides, topic classification experiments show that the Blind Jamming Algorithm could affect the topic classification significant. Further experiments on 5,999 texts with the semantic orientation analyzer (Sentifier) shows that the Sentifiers average precision is declined from 77% to 60% by jamming, which shows the jamming effectiveness of the two algorithms we have proposed.

• Periodical: Advanced Materials Research (Volume 717)
• Pages: 655-661
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.717.655
• Online since: July 2013
• Authors: Chang Yang, Xue Guang Zhou, Yan Sun
• Keywords: Content Attack, Content Security, Information Jamming, Malicious Jamming

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