Detection of Illegitimate Emails using Boosting Algorithm

Sarwat Nizamani, Nasrullah Memon, Uffe Kock Wiil

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingBidrag til bog/antologiForskningpeer review

Resumé

In this paper, we report on experiments to detect illegitimate emails using boosting algorithm. We call an email illegitimate if it is not useful for the receiver or for the society. We have divided the problem into two major areas of illegitimate
email detection: suspicious email detection and spam email detection. For our desired task, we have applied a boosting technique. With the use of boosting we can achieve high accuracy of traditional classification algorithms. When using boosting
one has to choose a suitable weak learner as well as the number of boosting iterations. In this paper, we propose suitable weak learners and parameter settings for the boosting algorithm for the desired task. We have initially analyzed the problem using base learners. Then we have applied boosting algorithm with suitable weak learners and parameter settings such as the number of boosting iterations. We propose a Naive Bayes classifier as a suitable weak learner for the boosting algorithm.
It achieves maximum performance with very few boosting iterations.
OriginalsprogEngelsk
TitelCounterterrorism and Open Source Intelligence
RedaktørerUffe Kock Wiil
ForlagSpringer
Publikationsdato2011
Udgave1
Sider249-264
ISBN (Trykt)978-3-7091-0387-6
StatusUdgivet - 2011
NavnLecture Notes in Social Networks
Nummer1
Vol/bind2

Fingeraftryk

Electronic mail
Classifiers
Experiments

Citer dette

Nizamani, S., Memon, N., & Wiil, U. K. (2011). Detection of Illegitimate Emails using Boosting Algorithm. I U. K. Wiil (red.), Counterterrorism and Open Source Intelligence (1 udg., s. 249-264). Springer. Lecture Notes in Social Networks, Nr. 1, Bind. 2
Nizamani, Sarwat ; Memon, Nasrullah ; Wiil, Uffe Kock. / Detection of Illegitimate Emails using Boosting Algorithm. Counterterrorism and Open Source Intelligence. red. / Uffe Kock Wiil. 1. udg. Springer, 2011. s. 249-264 (Lecture Notes in Social Networks; Nr. 1, Bind 2).
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Nizamani, S, Memon, N & Wiil, UK 2011, Detection of Illegitimate Emails using Boosting Algorithm. i UK Wiil (red.), Counterterrorism and Open Source Intelligence. 1 udg, Springer, Lecture Notes in Social Networks, nr. 1, bind 2, s. 249-264.

Detection of Illegitimate Emails using Boosting Algorithm. / Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock.

Counterterrorism and Open Source Intelligence. red. / Uffe Kock Wiil. 1. udg. Springer, 2011. s. 249-264 (Lecture Notes in Social Networks; Nr. 1, Bind 2).

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingBidrag til bog/antologiForskningpeer review

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Nizamani S, Memon N, Wiil UK. Detection of Illegitimate Emails using Boosting Algorithm. I Wiil UK, red., Counterterrorism and Open Source Intelligence. 1 udg. Springer. 2011. s. 249-264. (Lecture Notes in Social Networks; Nr. 1, Bind 2).