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Yapay Zeka Teknikleri İle Gelen E-Postaların Ayrıştırılması

Mete YAĞANOĞLU, Erdal IRMAK
2021 European Journal of Science and Technology  
Therefore, it has become necessary to recommend adaptive spam detection models. In this paper, an intelligent system for the detection and filtering of spam e-mails is described.  ...  Spam e-mails cause security problems for internet users and waste storage, bandwidth, and productivity resources.  ...  Pre-processing The use of e-mails in daily life causes the number of spam e-mails to increase. For this reason, spam e-mails need to be separated successfully.  ... 
doi:10.31590/ejosat.841299 fatcat:jiwvob6ldnc5pj3l3ynd4fhfmq

Artificial immune system inspired behavior-based anti-spam filter

Xun Yue, Ajith Abraham, Zhong-Xian Chi, Yan-You Hao, Hongwei Mo
2006 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
This paper proposes a novel behavior-based anti-spam technology for email service based on an artificial immune-inspired clustering algorithm.  ...  Mail servers could implement the anti-spam technology by using the "black lists" that have been already recognized.  ...  Authors would like to thanks the three anonymous referees for the constructive comments that helped to enhance the quality and presentation of this paper.  ... 
doi:10.1007/s00500-006-0116-0 fatcat:lxgft4o7cbelfkcelbjvud7sym

Machine Learning Techniques for Spam Detection in Email and IoT Platforms: Analysis and Research Challenges

Naeem Ahmed, Rashid Amin, Hamza Aldabbas, Deepika Koundal, Bader Alouffi, Tariq Shah
2022 Security and Communication Networks  
This paper surveys the machine learning techniques used for spam filtering techniques used in email and IoT platforms by classifying them into suitable categories.  ...  Among all the techniques developed for detecting and preventing spam, filtering email is one of the most essential and prominent approaches.  ...  While these features are not enough for fully accurate results, manual feature selection and features should also be.  ... 
doi:10.1155/2022/1862888 doaj:27c7fab9297747cba125d6dff8deb631 fatcat:fsasq7gapbhd7lv66wwgxveyyq

SpamHunting: An instance-based reasoning system for spam labelling and filtering

F. Fdez-Riverola, E.L. Iglesias, F. Díaz, J.R. Méndez, J.M. Corchado
2007 Decision Support Systems  
In this paper we show an instance-based reasoning e-mail filtering model that outperforms classical machine learning techniques and other successful lazy learners approaches in the domain of anti-spam  ...  The architecture of the learning-based anti-spam filter is based on a tuneable enhanced instance retrieval network able to accurately generalize e-mail representations.  ...  The authors want to thank the work carried out by the referees for their reviews and comments.  ... 
doi:10.1016/j.dss.2006.11.012 fatcat:yibedumnmjeh3p2422rfg6vf3y

Modeling Spammer Behavior: Artificial Neural Network vs. Naïve Bayesian Classifier [chapter]

Saiful Islam, Rafiqul Islam
2011 Artificial Neural Networks - Application  
Antispamming techniques try to make a trade-off between rejecting legitimate e-mail vs. not rejecting all spam, and the associated costs in time and effort.  ...  The nature of spam email is very dynamic and the content of email is textually misleading due to obfuscation. This remains a continuous challenge for spam filtering techniques.  ...  This book is suitable for all professionals and scientists in understanding how ANN is applied in various areas.  ... 
doi:10.5772/16002 fatcat:hu5aya35craihl452jinxnbgam

Review and Analysis on Filtering of Unwanted Multimedia Messages from Online Social Network User Walls

Martand Ratnam
2021 International Journal for Research in Applied Science and Engineering Technology  
The message will appear on the user's wall if it is not filtered or blacklisted. Keywords: Content Based Message Filtering, Demographic Filtering, Collaborative Filtering.  ...  Every time a user posts a message, the message is intercepted by the filtered wall, which then applies Filtering and Black List Rules to it.  ...  CONCLUSION E-mail and OSN spam is a problem for users, despite the fact that so many spam message filtering techniques are available in real time.  ... 
doi:10.22214/ijraset.2021.39629 fatcat:kn2e4ak2nnhepcatxpvtfy6spm

An Email Spam Filtering Model Using Ensemble of Machine Learning Techniques

Aju Omojokun Gabriel, Adedeji Ayomiposi Joy
2022 International Journal of Computer Applications Technology and Research  
The risks of filtering spam emails is that sometimes, legitimate mails are marked as spam, yet the results of not filtering spam are the constant flood of spam clogs on networks that adversely impacts  ...  Several researchers had worked on the design of models for spam email filtering using different techniques, however the detection accuracy of these models have also become subject of discussions.  ...  After selecting the Best feature selection algorithm, they considered the selected algorithm for their feature selection purpose.  ... 
doi:10.7753/ijcatr1103.1003 fatcat:3ccrpcu225bztescp2mpl6d2bq

Spam E-mail Filtering using ECOS Algorithms

Ammar Almomani, Atef Obeidat, Karim Alsaedi, M. Al-Hazaimeh Obaida, Mohammed Al-Betar
2015 Indian Journal of Science and Technology  
SDENFS is suggested to work for high-speed "life-long" learning with low memory footprint with few number of rules creation for E-mail classification.  ...  Spammers are busy orchestrating various representation techniques thus making their 'zero-day' spam E-mail that infiltrate the defenses of detection.  ...  The explosive growth of uninvited E-mails has prompted the development of varied spam filtering techniques.  ... 
doi:10.17485/ijst/2015/v8is9/55320 fatcat:mek4fvldqbdbtk26o2m44j3him

A Machine Learning Based Email Spam Classification Framework Model: Related Challenges and Issues

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
There has been a lot of effort to render spam filtering more efficient in classifying e-mails as either ham (valid messages) or spam (unwanted messages) through the ML classifiers.  ...  Machine learning algorithms in the area of spam filtering is commonly used.  ...  Feature selection: The pre-processing phase is preceded by the feature selection phase.  ... 
doi:10.35940/ijitee.d1561.029420 fatcat:rvgjclq2svh6za56sm4czuwn5i

Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update [article]

Gopi Sanghani, Ketan Kotecha
2019 arXiv   pre-print
Communication through e-mails remains to be highly formalized, conventional and indispensable method for the exchange of information over the Internet.  ...  In this research, we propose a novel and distinctive approach to develop an incremental personalized e-mail spam filter. The proposed work is described using three significant contributions.  ...  This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.  ... 
arXiv:1904.12118v1 fatcat:kcvyy6zvmvavhjcg2bkw3faz4m

A Review on Different Spam Detection Approaches
English

Rek ha
2014 International Journal of Engineering Trends and Technoloy  
In this paper we discuss some approaches for spam detection.  ...  These spams messages not only increases the network communication and memory space but can also be used for some attack.  ...  Initially, feature construction and feature selection is done to extract the relevant features.  ... 
doi:10.14445/22315381/ijett-v11p260 fatcat:htwdqek5cneqha7e3n6i7mf4pa

Robust Text Classifier for Classification of Spam E-Mail Documents with Feature Selection Technique

Akhilesh Kumar Shrivas, Amit Kumar Dewangan, Samrendra Mohan Ghosh
2021 Ingénierie des Systèmes d'Information  
Finally, we have used the SymmetricalUncert feature selection technique to make the optimized dataset with a reduced feature subset.  ...  This paper analyzes and validates the spam e-mails documents using different data mining-based classification techniques.  ...  The authors would like to thank the editor and anonymous reviewers for their comments that help improve the quality of this work.  ... 
doi:10.18280/isi.260502 fatcat:vjcpzsbkvve43m5brn477e2ala

E-Mail Spam Detection Using Refined MLP with Feature Selection

Harjot Kaur, Er. Prince Verma
2017 International Journal of Modern Education and Computer Science  
Electronic Mail (E-mail) has established a significant place in information user's life.  ...  This serious issue has generated a need for efficient and effective anti-spam filters that filter the email into spam or ham email.  ...  The author also presents its gratitude towards computer science research group for the support. The author is thankful to its mentor for guidance throughout the research work.  ... 
doi:10.5815/ijmecs.2017.09.05 fatcat:gxxzb7bv55g3tjxgxjz4mmn7be

INTELLIGENT E-MAIL PERSONALIZATION SYSTEM

SHANMUGASUNDARAM HARIHARAN
2011 Journal of Engineering Science and Technology  
In Internet era E-mail has become the most important mode of communication in every day life.  ...  The mail messages are the parsed through a filter that would identify the spam immediately.  ...  We focus our attention on mining the E-mail contents using linguistic features and measure the system behavior.  ... 
doaj:90d338de2d4c4ac29bfd264ed9173561 fatcat:j2vrllpzcjbr3j4krcakp727xu

Spam E-mail Classification Recurrent Neural Networks for Spam E-mail Classification on an Agglutinative Language

Sahin Isik, Zuhal Kurt, Yildiray Anagun
2020 International Journal of Intelligent Systems and Applications in Engineering  
However, for particular crossvalidation, the performance WMI is higher than MI features in terms e-mail grouping.  ...  Firstly, feature selection methods including WMI and MI are applied to reduce number of selected terms. Secondly, the feature vectors are constructed with concept of the bag-of-words (BoW) model.  ...  e-mails, respectively.  ... 
doi:10.18201/ijisae.2020466316 fatcat:jrogy2squfbtvon23vgg5kw2fu
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