Workshop 4:
Social Media Information Security in the Era of Big Data
With the development of Internet technology and information technology, different types of Social Media continue to emerge, breaking the constraints of time and space in the traditional life of human beings, greatly expanding the scope of human Social interaction, and providing a new interactive platform for people to create, acquire and spread information. More and more users are joining the social media-centric online world. As users continue to flood in, the amount of data in social media continues to climb. The rapid growth of data has brought valuable resources to many industries, but it has also brought huge security risks, such as the disclosure of users' personal privacy information, the growth of rumors, and the falsification of videos and pictures. Especially with the wide application of multimedia technology and the rich means of data description, people like to use various forms of information to express their views, such as text, pictures, videos, etc.. The semantic differences between these different modal data require a higher level of network information security. Therefore, how to effectively use this huge media information to resist external malicious attacks and forgery has become an urgent research problem for us to solve.  
This workshop aims to bring together the research accomplishments provided by leading researchers from academia and the industrial experts. To further promote the development of these areas, we invite researchers to contribute original research manuscripts.  The workshop will focus more on: Extraction of available knowledge from Social Media data, Information content security detection, Fake detection, Sentiment analysis based on Social Media data, Personal Privacy Protection and so on.

Extraction of Available Knowledge from Social Media Data, Information Content Security Detection, Fake Detection, Sentiment Analysis Based on Social Media Data, Personal Privacy Protection

Ahmed G. Gad, Faculty of Computers and Information, Kafrelsheikh University, Egypt

Ahmed G. Gad received the B.Sc. (Hons.) degree from the Faculty of Computers and Information, Mansoura University, Mansoura, Egypt, in 2013. Since 2017, he has been a full-time Teaching Assistant of Information Technology with the Faculty of Computers and Information, Kafrelsheikh University, Kafrelsheikh, Egypt. His current major research interests span Meta-heuristics, Optimization, Machine Learning, Data mining, Cloud Computing, Scheduling, and Blockchain.