Big Data Analytics (BDA) is one of the mainstream technologies that change our perspectives on processing of information. Together with information security, BDA could be an extremely effective tool to learn more about communication and social networks. There will be infinite possibilities to find new methods of tracking cybercrimes using big data from different sources. BDA in information security also changes our thinking about security algorithms; they must change from a small data paradigm to big ones. This special issue is to analyze how the latest trends in this area help learn more about cyberspace and new threats using big data approaches.

Potential topics include but are not limited to the following:

• New security algorithms for big data
• Big data in cloud and its security
• Cryptography and big data
• New theories and methods of multimedia information hiding in big media data
• New theories and methods of multimedia steganalysis in big data
• Advances in privacy preserving machine learning methods in big data
• Advances in privacy preserving multimedia search and retrieval methods in big data
• Advances in privacy preserving data mining methods in big data
• Challenges and new methods of potential unsafe content recognition in big data