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ICAIS-CPAFBTD 2019 : ICAIS Workshop of Content Protection, Analysis, and Forensics for Big Text Data, EI Compendex

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Link: http://www.icaisconf.com/workshops/
 
When Jul 26, 2019 - Jul 28, 2019
Where New York
Submission Deadline Nov 10, 2018
Notification Due Dec 1, 2018
Final Version Due Dec 31, 2018
Categories    artificial intelligence   big data   information hiding   cybersecurity
 

Call For Papers

Abstract:

Modern Big Data increasingly appears in a variety of forms, and text is a commonly used medium of information storage and transmission. Examples include the web pages, the formatted texts, the plain texts, the financial texts, the electronic bill, the short texts in social network, and etc.. These big text data have provided a lot of opportunities. However, big text data also brings many challenges about many problems of text security. This workshop aims to bring together researchers from different paradigms solving big problems under a unified platform for sharing their work and exchanging ideas.

Scope and Topics:

We are soliciting novel and original research contributions related to content protection, analysis, and forensics for big text data (algorithms, software systems, applications, best practices, performance). Significant work-in-progress papers are also encouraged. Papers can be from any of the following areas, including but not limited to:

* Big data text automation
* Text big data mining and deep learning
* Text watermarking and steganography
* Text steganalysis and forensics
* Coverless covert communication based on text documents
* Text content security based on big data environment
* Copyright protection for text documents
* Information tracking for text documents
* Electronic bill (ticket) security based on blockchain
* Financial information security
* Text data deduplication and storage security
* Sentiment analysis and opinion mining
* Encrypted text retrieval
* Text categorization and topic modeling
* Web, social media and computational social science
* Information retrieval
* Automatic text generation

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