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 these 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
Chair: Dr. Piyush Kumar Shuka, State Technological University of Madhya Pradesh, India.
Dr. Piyush Kumar Shukla (PDF, Ph.D., SMIEE, LMISTE) is Associate Professor in Computer Science & Engineering Department, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (Technological University of Madhya Pradesh) & Honorary Adjunct Professor, Kunsan National University, South Korea. He has completed Post Doctorate Fellowship (PDF) under "Information Security Education and Awareness Project Phase II" funded by the Ministry of Electronics and IT (MeitY). He is the editor and reviewer of various prestigious SCI, SCIE, and WOS-indexed journals. He has over 300 publications in highly indexed journals and prestigious conferences, including many books. Dr Shuka is Guest Editors, Springer, MDPI, Fronters, Techscience Journals.
Assist. Prof. Kishore Babu Dasari, Keshav Memorial Institute of Technology, India
Kishore Babu Dasari is currently working as Assistant Professor in the Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Keshav Memorial Institute of Technology, Hyderabad, Telangana, India. He is a Life member of Computer Society of India. He has more than 14 years of teaching experience. He published a number of papers in various Scopus Indexed Journals. He has presented a number of papers in various National and International conferences. He delivered a number of Guest Lectures on various topics. He has completed more than 38 Certifications in Coursera, IEEE, IBM cognitive, Simplilearn, Kaggle and NPTEL on various domains. He got various NPTEL Star awards. He translated one NPTEL course into regional language. His research interests are Artificial Intelligence, Machine Learning, Big Data Analytics, and Information Security. He has guided a number of UG and PG Projects.