Buch, Englisch, 120 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 150 g
Principles, Algorithm, Applications, and Perspectives
Buch, Englisch, 120 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 150 g
ISBN: 978-0-367-70735-4
Verlag: Taylor & Francis
OSNs security: Principles, Algorithm, Applications, and Perspectives describe various attacks, classifying them, explaining their consequences, and offering. It also highlights some key contributions related to the current defensive approaches. Moreover, it shows how machine-learning and deep-learning methods can mitigate attacks on OSNs. Different technological solutions that have been proposed are also discussed. The topics, methodologies, and outcomes included in this book will help readers learn the importance of incentives in any technical solution to handle attacks against OSNs. The best practices and guidelines will show how to implement various attack-mitigation methodologies.
Zielgruppe
Postgraduate and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerkprotokolle
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Schadprogramme (Viren, Trojaner etc.)
Weitere Infos & Material
1 Overview of OSNs and Their Impacts on Users
2 Security Challenges in Social Networking: Taxonomy, Statistics, and Opportunities
3 Fundamentals of Online Social Networks (OSNs) and Opportunities
4 Machine-Learning and Deep-Learning-Based Security Solutions for Detecting Various Attacks on OSNs
5 Various Threats and Threat-Handling Tools
6 Preventive Measures and General Practices
7 Data Theft in Indonesia: A Case Study on Facebook