Detection of Web Spambot in the Presence of Decoy Actions

Vida Ghanaei; Costas S. Iliopoulos; Solon P. Pissis

doi:10.1109/BDCloud.2014.134

Detection of Web Spambot in the Presence of Decoy Actions

Vida Ghanaei, Costas S. Iliopoulos, Solon P. Pissis

Informatics

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

2 Citations (Scopus)

Abstract

Based on the recent research and statistics by Symantec, significant amount of all global web traffic and email traffic is marked as spam. Spambot is basically a robot that maliciously traverses the World Wide Web (WWW), and gathers information, email addresses, etc. For the spammer. The increasing growth of spam bot sophistication advances in the introduction of Spam 2.0, which infiltrate legitimate Web 2.0 unsolicited. This leads to various unwanted outcomes, such as the appearance of spam pages as the top search engines results due to excessive usage of popular terms, unreal web-pages visit rate, spam emails, and wastes of resources. Here we present an efficient method to detect web spam bot in the presence of decoy actions, by applying efficient approximate string-matching techniques. Our preliminary experimental results show that the proposed method is successful for the classification of web spam bot in the presence of decoy actions, hence eliminating spam in Web 2.0 applications.

Original language	English
Title of host publication	Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on
Publisher	Institute of Electrical and Electronics Engineers ( IEEE )
Pages	277-279
Number of pages	3
Volume	1
ISBN (Print)	9781479967209
DOIs	https://doi.org/10.1109/BDCloud.2014.134
Publication status	Published - Dec 2014
Event	Big Data and Cloud Computing (Bdcloud), 2014 IEEE Fourth International Conference - Sydney, Australia Duration: 3 Dec 2014 → 5 Dec 2014

Conference

Conference	Big Data and Cloud Computing (Bdcloud), 2014 IEEE Fourth International Conference
Country/Territory	Australia
City	Sydney
Period	3/12/2014 → 5/12/2014

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10.1109/BDCloud.2014.134

http://dx.doi.org/10.1109/BDCloud.2014.134

Cite this

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title = "Detection of Web Spambot in the Presence of Decoy Actions",

abstract = "Based on the recent research and statistics by Symantec, significant amount of all global web traffic and email traffic is marked as spam. Spambot is basically a robot that maliciously traverses the World Wide Web (WWW), and gathers information, email addresses, etc. For the spammer. The increasing growth of spam bot sophistication advances in the introduction of Spam 2.0, which infiltrate legitimate Web 2.0 unsolicited. This leads to various unwanted outcomes, such as the appearance of spam pages as the top search engines results due to excessive usage of popular terms, unreal web-pages visit rate, spam emails, and wastes of resources. Here we present an efficient method to detect web spam bot in the presence of decoy actions, by applying efficient approximate string-matching techniques. Our preliminary experimental results show that the proposed method is successful for the classification of web spam bot in the presence of decoy actions, hence eliminating spam in Web 2.0 applications.",

author = "Vida Ghanaei and Iliopoulos, {Costas S.} and Pissis, {Solon P.}",

year = "2014",

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language = "English",

isbn = "9781479967209",

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booktitle = "Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on",

publisher = "Institute of Electrical and Electronics Engineers ( IEEE )",

note = "Big Data and Cloud Computing (Bdcloud), 2014 IEEE Fourth International Conference ; Conference date: 03-12-2014 Through 05-12-2014",

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Ghanaei, V , Iliopoulos, CS & Pissis, SP 2014, Detection of Web Spambot in the Presence of Decoy Actions. in Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on. vol. 1, Institute of Electrical and Electronics Engineers ( IEEE ), pp. 277-279, Big Data and Cloud Computing (Bdcloud), 2014 IEEE Fourth International Conference, Sydney, Australia, 3/12/2014. https://doi.org/10.1109/BDCloud.2014.134

Detection of Web Spambot in the Presence of Decoy Actions. / Ghanaei, Vida ; Iliopoulos, Costas S.; Pissis, Solon P.
Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on. Vol. 1 Institute of Electrical and Electronics Engineers ( IEEE ), 2014. p. 277-279.

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

TY - CHAP

T1 - Detection of Web Spambot in the Presence of Decoy Actions

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AU - Pissis, Solon P.

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N2 - Based on the recent research and statistics by Symantec, significant amount of all global web traffic and email traffic is marked as spam. Spambot is basically a robot that maliciously traverses the World Wide Web (WWW), and gathers information, email addresses, etc. For the spammer. The increasing growth of spam bot sophistication advances in the introduction of Spam 2.0, which infiltrate legitimate Web 2.0 unsolicited. This leads to various unwanted outcomes, such as the appearance of spam pages as the top search engines results due to excessive usage of popular terms, unreal web-pages visit rate, spam emails, and wastes of resources. Here we present an efficient method to detect web spam bot in the presence of decoy actions, by applying efficient approximate string-matching techniques. Our preliminary experimental results show that the proposed method is successful for the classification of web spam bot in the presence of decoy actions, hence eliminating spam in Web 2.0 applications.

AB - Based on the recent research and statistics by Symantec, significant amount of all global web traffic and email traffic is marked as spam. Spambot is basically a robot that maliciously traverses the World Wide Web (WWW), and gathers information, email addresses, etc. For the spammer. The increasing growth of spam bot sophistication advances in the introduction of Spam 2.0, which infiltrate legitimate Web 2.0 unsolicited. This leads to various unwanted outcomes, such as the appearance of spam pages as the top search engines results due to excessive usage of popular terms, unreal web-pages visit rate, spam emails, and wastes of resources. Here we present an efficient method to detect web spam bot in the presence of decoy actions, by applying efficient approximate string-matching techniques. Our preliminary experimental results show that the proposed method is successful for the classification of web spam bot in the presence of decoy actions, hence eliminating spam in Web 2.0 applications.

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DO - 10.1109/BDCloud.2014.134

M3 - Conference paper

SN - 9781479967209

VL - 1

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EP - 279

BT - Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on

PB - Institute of Electrical and Electronics Engineers ( IEEE )

T2 - Big Data and Cloud Computing (Bdcloud), 2014 IEEE Fourth International Conference

Y2 - 3 December 2014 through 5 December 2014

ER -

Detection of Web Spambot in the Presence of Decoy Actions

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