Threats Detection using Big Data Analytics

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Pratibha Yadav
Savita Kumari Sheoran


Social networking sites (SNS) are being rapidly increased in recent years, which provides platform to connect people all over the world and share their interests. The ubiquitous use of social media has generated unparalleled amounts of social data. Data may be in the form of text, audio, video, images. It is necessary to analyze this massive amount of data and extracting useful information from it. Information can be spread across social networks quickly and effectively, hence have now become prone to different types of undesired and malicious spammer/hacker actions. Spam’s can be in the form of images, text, videos, audio etc. However, Social Networking Sites is providing opportunities for cybercrime activities. Therefore, there is a pivotal need for security in social media and industry. The aim of this paper is to detect threats in a social media networks using Big Data analytics.

Keywords: Threat classification, Security Threats, Big data Analytics


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