The Resource A Machine-Learning Approach to Phishing Detection and Defense, Akanbi, O.A.

A Machine-Learning Approach to Phishing Detection and Defense, Akanbi, O.A.

Label
A Machine-Learning Approach to Phishing Detection and Defense
Title
A Machine-Learning Approach to Phishing Detection and Defense
Statement of responsibility
Akanbi, O.A.
Creator
Contributor
Author
Subject
Genre
Language
  • eng
  • eng
Summary
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
http://library.link/vocab/creatorName
Akanbi, O.A
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Amiri, Iraj
  • Fazeldehkordi, E.
  • Safari, an O'Reilly Media Company
Label
A Machine-Learning Approach to Phishing Detection and Defense, Akanbi, O.A.
Link
https://databases.mvlc.org/connect/oreilly?ID=9780128029275
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (100 pages)
Form of item
online
Issuing body
Made available through: Safari, an O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(CaSebORM)9780128029275
System details
Mode of access: World Wide Web
Label
A Machine-Learning Approach to Phishing Detection and Defense, Akanbi, O.A.
Link
https://databases.mvlc.org/connect/oreilly?ID=9780128029275
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (100 pages)
Form of item
online
Issuing body
Made available through: Safari, an O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(CaSebORM)9780128029275
System details
Mode of access: World Wide Web

Library Locations

    • Merrimack Valley Library ConsortiumBorrow it
      4 High Street, Suite 175, North Andover, MA, 01845, US
      42.7009413 -71.1255084
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