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

Ravi Ramaraj

ISBN 10: 3330326956 / ISBN 13: 9783330326958

Edité par LAP LAMBERT Academic Publishing, 2017

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9783330326958

Détails bibliographiques

• Titre: Cybercrime Prevention in Social Networks by URL Detection - Cyber Law : Prevention: Malware and Phishing
• Éditeur: LAP LAMBERT Academic Publishing
• Date de parution: 2017
• Langue: anglais
• ISBN à 10 chiffres: 3330326956
• ISBN à 13 chiffres: 9783330326958
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 220 L x 150 H x 13 P (en millimètres) 220 millimètres de largeur par 150 millimètres de hauteur par 13 millimètres de profondeur
• Poids: 334 grammes

A propos de ce titre

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.