Téléchargez le livre : A Machine-Learning Approach to Phishing Detection and Defense

A Machine-Learning Approach to Phishing Detection and Defense

de

, ,

Éditeur :

Syngress


Paru le : 2014-12-05

eBook Téléchargement ebook sans DRM
Lecture en ligne (streaming)
56,92 €
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
Description
Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive information such as credit card numbers, bank account numbers, and user logins and passwords, as well as other information entered via a web site. The authors of A Machine-Learning Approach to Phishing Detetion and Defense have conducted research to demonstrate how a machine learning algorithm can be used as an effective and efficient tool in detecting phishing websites and designating them as information security threats. This methodology can prove useful to a wide variety of businesses and organizations who are seeking solutions to this long-standing threat. A Machine-Learning Approach to Phishing Detetion and Defense also provides information security researchers with a starting point for leveraging the machine algorithm approach as a solution to other information security threats. - Discover novel research into the uses of machine-learning principles and algorithms to detect and prevent phishing attacks - Help your business or organization avoid costly damage from phishing sources - Gain insight into machine-learning strategies for facing a variety of information security threats
Pages
100 pages
Collection
n.c
Parution
2014-12-05
Marque
Syngress
EAN papier
9780128029275
EAN EPUB SANS DRM
9780128029466
Informations sur l'ebook
Prix
56,92 €

Suggestions personnalisées