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Artikelzustand:
- Sofort-KaufenA Machine-Learning Approach to Phishing Detection and Defense (Paperback, 2015)
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Standort: Austin, Texas, USA
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eBay-Artikelnr.:354917012185
Artikelmerkmale
- Artikelzustand
- Series
- Syngress
- Subject Area
- Artificial Intelligence
- Book title
- Title
- Educational Level
- Adult & Further Education
- Level
- Advanced, Technical
- Subject
- Computer Science
- ISBN
- 9780128029275
Über dieses Produkt
Product Identifiers
Publisher
Elsevier Science & Technology Books
ISBN-10
0128029277
ISBN-13
9780128029275
eBay Product ID (ePID)
208739149
Product Key Features
Number of Pages
100 Pages
Publication Name
Machine-Learning Approach to Phishing Detection and Defense
Language
English
Subject
Internet / General, Intelligence (Ai) & Semantics, Security / General, Security / Networking
Publication Year
2014
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Length
9 in
Item Width
6 in
Additional Product Features
Intended Audience
Scholarly & Professional
TitleLeading
A
Illustrated
Yes
Table Of Content
Introduction Literature Review Research Methodology Feature Extraction Implementation and Result Conclusions
Synopsis
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., 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
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bajillionbooks
100% positive Bewertungen•3.9 Tsd. Artikel verkauft
Angemeldet als privater VerkäuferDaher finden verbraucherschützende Vorschriften, die sich aus dem EU-Verbraucherrecht ergeben, keine Anwendung. Der eBay-Käuferschutz gilt dennoch für die meisten Käufe.
Verkäuferbewertungen (1'696)
- a***e (111)- Bewertung vom Käufer.Letzter MonatBestätigter KaufFast shipper, great communication, item as described and optimal packaging. Would buy from this seller again, great value and service.
- r***d (397)- Bewertung vom Käufer.Letztes JahrBestätigter KaufWhat a lovely item , better than described , shipped the following day , securely packaged , double boxed , Great seller , smooth transaction , seller reached out to let me know it was being shipped . 🤩👍🌹😁Spirit Animal Oracle Deck by Rachel Farabaugh (CIB, First Edition, 2020) (Nr. 356909646792)
- g***a (462)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufGreat seller! Shipped fast. Great communication. Item as described. Packaged thoughtfully. I would order again from this seller. Thank you!