A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites

Thomas Nagunwa; Syed Naqvi; Shereen Fouad; Hanifa Shah

doi:10.1007/978-3-030-20005-3_4

A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites

Thomas Nagunwa^*, Syed Naqvi, Shereen Fouad, Hanifa Shah

^*Corresponding author for this work

Birmingham City University

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

4 Citations (SciVal)

Original language	English
Title of host publication	International Joint Conference
Subtitle of host publication	12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), Proceedings
Editors	Francisco Martínez Álvarez, Alicia Troncoso Lora, Héctor Quintián, José António Sáez Muñoz, Emilio Corchado
Publisher	Springer Verlag
Pages	36-46
Number of pages	11
ISBN (Print)	9783030200046
DOIs	https://doi.org/10.1007/978-3-030-20005-3_4
Publication status	Published (VoR) - 2020
Event	International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th International Conference on European Transnational Education, ICEUTE 2019 - Seville, Spain Duration: 13 May 2019 → 15 May 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	951
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th International Conference on European Transnational Education, ICEUTE 2019
Country/Territory	Spain
City	Seville
Period	13/05/19 → 15/05/19

Funding

Acknowledgement. The research leading to the results presented in the paper was partially funded by the UK Commonwealth Scholarship Commission (CSC).

Funders
Commonwealth Scholarship Commission

Keywords

Machine learning
Phishing
Phishing webpage detection
Webpage features
Zero hour phishing website

Access to Document

10.1007/978-3-030-20005-3_4

Cite this

Nagunwa, T., Naqvi, S., Fouad, S., & Shah, H. (2020). A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites. In F. Martínez Álvarez, A. Troncoso Lora, H. Quintián, J. A. Sáez Muñoz, & E. Corchado (Eds.), International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), Proceedings (pp. 36-46). (Advances in Intelligent Systems and Computing; Vol. 951). Springer Verlag. https://doi.org/10.1007/978-3-030-20005-3_4

Nagunwa, Thomas ; Naqvi, Syed ; Fouad, Shereen et al. / A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites. International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), Proceedings. editor / Francisco Martínez Álvarez ; Alicia Troncoso Lora ; Héctor Quintián ; José António Sáez Muñoz ; Emilio Corchado. Springer Verlag, 2020. pp. 36-46 (Advances in Intelligent Systems and Computing).

@inproceedings{ce753108824e42f99083b0ae35def98e,

title = "A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites",

keywords = "Machine learning, Phishing, Phishing webpage detection, Webpage features, Zero hour phishing website",

author = "Thomas Nagunwa and Syed Naqvi and Shereen Fouad and Hanifa Shah",

note = "Funding Information: Acknowledgement. The research leading to the results presented in the paper was partially funded by the UK Commonwealth Scholarship Commission (CSC). Publisher Copyright: \&\#x00A9; 2020, Springer Nature Switzerland AG.; International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th International Conference on European Transnational Education, ICEUTE 2019 ; Conference date: 13-05-2019 Through 15-05-2019",

year = "2020",

doi = "10.1007/978-3-030-20005-3\_4",

language = "English",

isbn = "9783030200046",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "36--46",

editor = "\{Mart{\'i}nez {\'A}lvarez\}, Francisco and \{Troncoso Lora\}, Alicia and H{\'e}ctor Quinti{\'a}n and \{S{\'a}ez Mu{\~n}oz\}, \{Jos{\'e} Ant{\'o}nio\} and Emilio Corchado",

booktitle = "International Joint Conference",

}

Nagunwa, T, Naqvi, S, Fouad, S & Shah, H 2020, A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites. in F Martínez Álvarez, A Troncoso Lora, H Quintián, JA Sáez Muñoz & E Corchado (eds), International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), Proceedings. Advances in Intelligent Systems and Computing, vol. 951, Springer Verlag, pp. 36-46, International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th International Conference on European Transnational Education, ICEUTE 2019, Seville, Spain, 13/05/19. https://doi.org/10.1007/978-3-030-20005-3_4

A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites. / Nagunwa, Thomas; Naqvi, Syed; Fouad, Shereen et al.
International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), Proceedings. ed. / Francisco Martínez Álvarez; Alicia Troncoso Lora; Héctor Quintián; José António Sáez Muñoz; Emilio Corchado. Springer Verlag, 2020. p. 36-46 (Advances in Intelligent Systems and Computing; Vol. 951).

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

TY - GEN

T1 - A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites

AU - Nagunwa, Thomas

AU - Naqvi, Syed

AU - Fouad, Shereen

AU - Shah, Hanifa

N1 - Funding Information: Acknowledgement. The research leading to the results presented in the paper was partially funded by the UK Commonwealth Scholarship Commission (CSC). Publisher Copyright: © 2020, Springer Nature Switzerland AG.

PY - 2020

Y1 - 2020

KW - Machine learning

KW - Phishing

KW - Phishing webpage detection

KW - Webpage features

KW - Zero hour phishing website

UR - https://www.scopus.com/pages/publications/85065704127

UR - https://www.scopus.com/inward/citedby.url?scp=85065704127&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-20005-3_4

DO - 10.1007/978-3-030-20005-3_4

M3 - Conference contribution

AN - SCOPUS:85065704127

SN - 9783030200046

T3 - Advances in Intelligent Systems and Computing

SP - 36

EP - 46

BT - International Joint Conference

A2 - Martínez Álvarez, Francisco

A2 - Troncoso Lora, Alicia

A2 - Quintián, Héctor

A2 - Sáez Muñoz, José António

A2 - Corchado, Emilio

PB - Springer Verlag

T2 - International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th International Conference on European Transnational Education, ICEUTE 2019

Y2 - 13 May 2019 through 15 May 2019

ER -

Nagunwa T, Naqvi S, Fouad S, Shah H. A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites. In Martínez Álvarez F, Troncoso Lora A, Quintián H, Sáez Muñoz JA, Corchado E, editors, International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), Proceedings. Springer Verlag. 2020. p. 36-46. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-20005-3_4

A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites

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