Cybercrime Prevention in Social Networks by URL Detection - Cyber Law | Prevention: Malware and Phishing. This item is unavailable.
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
- Softcover
- New

Unavailable
Softcover
Condition: New
£ 51.30
Item description from seller
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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Seller Inventory # 109401037
- Title
- Cybercrime Prevention in Social Networks by URL Detection - Cyber Law | Prevention: Malware and Phishing
- Author
- Ravi Ramaraj (u. a.)
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2017
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3330326956
- ISBN 13
- 9783330326958
- Item weight
- 334 grams
- Dimensions
- 220 x 150 x 14 mm
- Seller catalogs
- Bücher
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.
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