Anti-phishing prevention measure for email systems

Taiwo Ayodele; Charles A. Shoniregun; Galyna Akmayeva

Anti-phishing prevention measure for email systems

Taiwo Ayodele
, Charles A. Shoniregun
, Galyna Akmayeva

Research output: Chapter in Book/Report/Published conference proceeding › Conference contribution › peer-review

Abstract

This paper presents machine learning anti-phishing technique (MLAPT) - a machine learning framework that applies knowledge intensive approach to detect and prevent phishing attacks on email systems. Preventions, detections and a higher level of prevention measure can be guaranteed. The system is evaluated against a database of human-judged phishing scenarios, reaching satisfactory level of performance.

Original language	English
Title of host publication	World Congress on Internet Security (WorldCIS-2012)
Publisher	IEEE
Pages	208-211
Number of pages	4
ISBN (Electronic)	978-1-908320-04-9
ISBN (Print)	978-1-4673-1108-3
Publication status	Published - 12 Jun 2012
Externally published	Yes
Event	World Congress on Internet Security (WorldCIS-2012) - Guelph, Canada Duration: 10 Jun 2012 → 12 Jun 2012 https://infonomics-society.org/worldcis/

Conference

Conference	World Congress on Internet Security (WorldCIS-2012)
Abbreviated title	WorldCIS
Country/Territory	Canada
City	Guelph
Period	10/06/12 → 12/06/12
Internet address	https://infonomics-society.org/worldcis/

Access to Document

https://ieeexplore.ieee.org/document/6280179

Cite this

@inproceedings{847a5d47879f4a018b09b545c86b4ca8,

title = "Anti-phishing prevention measure for email systems",

abstract = "This paper presents machine learning anti-phishing technique (MLAPT) - a machine learning framework that applies knowledge intensive approach to detect and prevent phishing attacks on email systems. Preventions, detections and a higher level of prevention measure can be guaranteed. The system is evaluated against a database of human-judged phishing scenarios, reaching satisfactory level of performance.",

author = "Taiwo Ayodele and Shoniregun, \{Charles A.\} and Galyna Akmayeva",

year = "2012",

month = jun,

day = "12",

language = "English",

isbn = "978-1-4673-1108-3",

pages = "208--211",

booktitle = "World Congress on Internet Security (WorldCIS-2012)",

publisher = "IEEE",

note = "World Congress on Internet Security (WorldCIS-2012), WorldCIS ; Conference date: 10-06-2012 Through 12-06-2012",

url = "https://infonomics-society.org/worldcis/",

}

TY - GEN

T1 - Anti-phishing prevention measure for email systems

AU - Ayodele, Taiwo

AU - Shoniregun, Charles A.

AU - Akmayeva, Galyna

PY - 2012/6/12

Y1 - 2012/6/12

N2 - This paper presents machine learning anti-phishing technique (MLAPT) - a machine learning framework that applies knowledge intensive approach to detect and prevent phishing attacks on email systems. Preventions, detections and a higher level of prevention measure can be guaranteed. The system is evaluated against a database of human-judged phishing scenarios, reaching satisfactory level of performance.

AB - This paper presents machine learning anti-phishing technique (MLAPT) - a machine learning framework that applies knowledge intensive approach to detect and prevent phishing attacks on email systems. Preventions, detections and a higher level of prevention measure can be guaranteed. The system is evaluated against a database of human-judged phishing scenarios, reaching satisfactory level of performance.

M3 - Conference contribution

SN - 978-1-4673-1108-3

SP - 208

EP - 211

BT - World Congress on Internet Security (WorldCIS-2012)

PB - IEEE

T2 - World Congress on Internet Security (WorldCIS-2012)

Y2 - 10 June 2012 through 12 June 2012

ER -