Twitter Spam Detection and Traffic Classification

ISBN-13: 9786206737056 / Angielski / Miękka / 76 str.

Soumitra Das; Deepika Jaiswal

Opis

The rapid growth of the Internet and social media has led to an increase in the size of Internet traffic and the complexity of analyzing traffic behavior, especially in large-scale networks like social media platforms. Traditional rule-based methodologies are being replaced by automated approaches powered by machine learning, driven by the availability of large datasets that enable high-performance AI models. This book reviews recent research on cyber traffic analysis over social networks and the Internet, focusing on similarity, correlation, and collective indication concepts, and emphasizing the importance of security goals in classifying network hosts, applications, users, and tweets. To tackle these challenges, the paper introduces a new research methodology called data-driven cyber security (DDCS) and its application in analyzing social and Internet traffic. The DDCS methodology consists of three main components: cyber security data processing, cyber security feature engineering, and cyber security modeling.

O autorze

Dr. Soumitra Das currently working as Professor & Vice Principal and HOD in Department of Computer Engineering at Indira College of Engineering and Management,Pune.Dr. Das has more than 25+ years of teaching, industry and research experience.Ms. Deepika Jaiswal is a research scholar in the field of spam detection.