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Output details

11 - Computer Science and Informatics

The University of West London

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Output 0 of 0 in the submission
Output title

Identification of Malicious Web Pages with Static Heuristics

Type
E - Conference contribution
Name of conference/published proceedings
Telecommunication Networks and Applications Conference
Volume number
-
Issue number
-
First page of article
91
ISSN of proceedings
-
Year of publication
2008
URL
-
Number of additional authors
2
Additional information

<19> This paper is one of over 30 authored on the detection, analysis, clustering and classification of malicious activity, particularly focused on drive-by-downloads scenarios. The paper is well cited in academia and cited in 3 patents. The future work has, in part, been continued in the PhD thesis of Dr Christian Seifert and further work has been undertaken with Dr Le Van Lam (former PhD student at Victoria University of Wellington). Dr Renato de Amorim (post-doc 2011-12) and PhD student Mr Mohammad Puttaroohave further extended the work with supervised and non-supervised analysis of behavioural data.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
10
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-