Detection of fixed length web spambot using REAL (read aligner)

Mourad Elloumi; Pedram Hayati; Costas S. Iliopoulos; Solon P. Pissis; Arfaat Shah

doi:10.1145/2381716.2381871

Detection of fixed length web spambot using REAL (read aligner)

Mourad Elloumi, Pedram Hayati, Costas S. Iliopoulos, Solon P. Pissis, Arfaat Shah

Informatics

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

Abstract

In this paper, we describe REAL: An efficient Read Aligner for next generation sequencing reads structures to detect web Spambots. In the last decade or so, Web spam has emerged to be a bigger than previous thought problem. It not only wastes resources, misleads people but also has the ability to trick search algorithms to gain unfair search result ranking, hence resulting in the decrease of quality and reliability of the World Wide Web (WWW) and its content. New web technologies are emerging by the clock, but at the same time new spamming techniques have also emerged to misuse these technologies.

Our experimental results show that the proposed system is successful for on-the-fly classification of web spambots hence eliminating spam in web 2.0 applications.

Original language	English
Title of host publication	Proceedings of the CUBE International Information Technology Conference
Place of Publication	New York
Publisher	ACM
Pages	820-825
Number of pages	6
ISBN (Print)	978-1-4503-1185-4
DOIs	https://doi.org/10.1145/2381716.2381871
Publication status	Published - 2012

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10.1145/2381716.2381871

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title = "Detection of fixed length web spambot using REAL (read aligner)",

abstract = "In this paper, we describe REAL: An efficient Read Aligner for next generation sequencing reads structures to detect web Spambots. In the last decade or so, Web spam has emerged to be a bigger than previous thought problem. It not only wastes resources, misleads people but also has the ability to trick search algorithms to gain unfair search result ranking, hence resulting in the decrease of quality and reliability of the World Wide Web (WWW) and its content. New web technologies are emerging by the clock, but at the same time new spamming techniques have also emerged to misuse these technologies.Our experimental results show that the proposed system is successful for on-the-fly classification of web spambots hence eliminating spam in web 2.0 applications.",

author = "Mourad Elloumi and Pedram Hayati and Iliopoulos, {Costas S.} and Pissis, {Solon P.} and Arfaat Shah",

year = "2012",

doi = "10.1145/2381716.2381871",

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pages = "820--825",

booktitle = "Proceedings of the CUBE International Information Technology Conference",

publisher = "ACM",

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T1 - Detection of fixed length web spambot using REAL (read aligner)

AU - Elloumi, Mourad

AU - Hayati, Pedram

AU - Iliopoulos, Costas S.

AU - Pissis, Solon P.

AU - Shah, Arfaat

PY - 2012

Y1 - 2012

N2 - In this paper, we describe REAL: An efficient Read Aligner for next generation sequencing reads structures to detect web Spambots. In the last decade or so, Web spam has emerged to be a bigger than previous thought problem. It not only wastes resources, misleads people but also has the ability to trick search algorithms to gain unfair search result ranking, hence resulting in the decrease of quality and reliability of the World Wide Web (WWW) and its content. New web technologies are emerging by the clock, but at the same time new spamming techniques have also emerged to misuse these technologies.Our experimental results show that the proposed system is successful for on-the-fly classification of web spambots hence eliminating spam in web 2.0 applications.

AB - In this paper, we describe REAL: An efficient Read Aligner for next generation sequencing reads structures to detect web Spambots. In the last decade or so, Web spam has emerged to be a bigger than previous thought problem. It not only wastes resources, misleads people but also has the ability to trick search algorithms to gain unfair search result ranking, hence resulting in the decrease of quality and reliability of the World Wide Web (WWW) and its content. New web technologies are emerging by the clock, but at the same time new spamming techniques have also emerged to misuse these technologies.Our experimental results show that the proposed system is successful for on-the-fly classification of web spambots hence eliminating spam in web 2.0 applications.

U2 - 10.1145/2381716.2381871

DO - 10.1145/2381716.2381871

M3 - Conference paper

SN - 978-1-4503-1185-4

SP - 820

EP - 825

BT - Proceedings of the CUBE International Information Technology Conference

PB - ACM

CY - New York

ER -

Detection of fixed length web spambot using REAL (read aligner)

Abstract

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