Cybercrime Prevention in Social Networks by URL Detection - Cyber Law | Prevention: Malware and Phishing

Ravi Ramaraj (u. a.)

ISBN 10: 3330326956 / ISBN 13: 9783330326958

Published by LAP LAMBERT Academic Publishing, 2017

About this Item

Cybercrime Prevention in Social Networks by URL Detection - Cyber Law | Prevention: Malware and Phishing | Ravi Ramaraj (u. a.) | Taschenbuch | 212 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330326958 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 109401037

Bibliographic Details

• Title: Cybercrime Prevention in Social Networks by URL Detection - Cyber Law | Prevention: Malware and Phishing
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 3330326956
• ISBN 13: 9783330326958
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 334 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Human mind is ingenious enough to get incited to commit a crime in social networks, it is necessary that effective legal activities and methodology to control and to prevent cybercrimes by advanced cyber techniques be channelized. Cyber Crime prevention needs a strong security mechanism, which includes virtual private networks, firewalls and intrusion detection systems as well as various amendments of existing cyber laws. As online social networks provide the facility to post messages by the users, it is prone to susceptible malicious message that contains URLS used for phishing, spam and other malware distribution. Therefore, a novel Content-Based Centralized URL Filtering Scheme (CCUFS) has been proposed for suspicious URL detection in the cyber space. A novel Rank-based Phishing and Malware Detection System (RPMDS) has been proposed for detecting phishing and malware attacks in the cyber space. A new Injection Attack Detection System (IADS) has been proposed for detecting injection attacks in the cyber space. Thus, suitable detection schemes have been proposed in this work for detecting different forms of cyber-attacks in the cyber space.

About the Author

Dr. R. Ravi is an Award Winner of TAMILNADU GOVERNMENT’s BEST EMPLOYEE OF THE STATE GOLD MEDAL AWARD 2015; He is presently working as a Director (Research), Professor and Head, Department of Information Technology, in Francis Xavier Engineering College, Tirunelveli. He has received Ph.D in Network Engineering and Ph.D in Cyber Law.