Cyber Security and Social Media Applications

ISBN-13: 9783031330643 / Angielski / Twarda / 2023

Opis

This book offers an excellent source of knowledge for readers who are interested in keeping up with the developments in the field of cyber security and social media analysis. It covers the possibility of using augmented reality to monitor cyber security feeds in a multitasking environment. It describes a real-time scheduled security scanner. E-commerce concept labeling is tackled by introducing a lightweight global taxonomy induction system. Blogsphere analytics and online video narratives and networks are explored. The effect of global and local network structure, credibility based prevention of fake news dissemination, and detection of trending topics and influence from social media are investigated.This book helps the reader in developing their own perspective about how to deal with cyber security and how to benefit from the development in technology to tackle cyber security issues. The reader of this book will realize how to use various machine learning techniques for tackling various applications involving social medial analysis.

Spis treści

Chapter 1. Powering Blogosphere Analytics with BlogTracker: COVID-19 Case Study (Akinnubi).- Chapter 2. Parallelized Cyber Reconnaissance Automation: A Real-Time and Scheduled Security Scanner (Malkawi).- Chapter 3. Using Smart Glasses for Monitoring Cyber Threat Intelligence Feeds in a Multitasking Environment (Korkiakoski).- Chapter 4. Effects of Global and Local Network Structure on Number of Driver Nodes in Complex Networks (Sadaf).- Chapter 5. A Lightweight Global Taxonomy Induction System for E-Commerce Concept Labels (Shen).- Chapter 6. Exploring Online Video Narratives and Networks using VTracker (Marcoux).- Chapter 7. Twitter Credibility Score for Preventing Fake News Dissemination on Twitter (Alhajj).- Chapter 8. Detecting Trending Topics and Influence on Social Media (Alhajj).

O autorze

Sibel Tarıyan Özyer is Assistant Professor of Computer Engineering at Ankara Medipol University, Ankara, Turkey. Previously, she was assistant professor at the Computer Engineering Department of Cankaya University, Turkey. She has been the  Program Chair of HIBIBI 2022, which is co-located with ASONAM conference in 2022. Research interests are network analysis, data mining, machine learning, bioinformatics, computer networks, and computer vision.

Buket Kaya received her BSc, MSc and PhD degrees in Electrical-Electronics Engineering from Firat University, Turkey, in 2007, 2010 and 2015, respectively. Currently, she is Associate Professor in the Department of Electronics and Automation, Firat University. Her primary work and research interests are in the areas of data mining, social network analysis, machine learning and deep learning.