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Learning to Detect Web Spam by Genetic Programming [chapter]

Xiaofei Niu, Jun Ma, Qiang He, Shuaiqiang Wang, Dongmei Zhang
2010 Lecture Notes in Computer Science  
Combating web spam has become one of the top challenges for web search. This paper proposes to learn a discriminating function to detect web spam by genetic programming.  ...  Web spam techniques enable some web pages or sites to achieve undeserved relevance and importance. They can seriously deteriorate search engine ranking results.  ...  Learning to Detect Web Spam by Genetic Programming  ... 
doi:10.1007/978-3-642-14246-8_5 fatcat:ntno4olt6ra45h55xgtha6p7sa

Designing a Web Spam Classifier Based on Feature Fusion in the Layered Multi-Population Genetic Programming Framework

2013 Advances in Distributed Computing and Artificial Intelligence Journal  
This paper employs the recently proposed Layered Multi-population Genetic Programming model for Web spam detection task as well application of correlation coefficient analysis for feature space reduction  ...  Nowadays, Web spam pages are a critical challenge for Web retrieval systems which have drastic influence on the performance of such systems.  ...  Acknowledgment The authors would like to acknowledge the financial support of University of Tehran for this research under grant number 8101004/1/02. We also give special thanks to Ms.  ... 
doi:10.14201/adcaij2014261527 doaj:c8746dcdb7a441e6b64e27014fc1e58c fatcat:q7u4yl252zfgvc4v3gm7mho7qu

Approaches for Web Spam Detection

Kanchan Hans, Laxmi Ahuja, S. K. Muttoo
2014 International Journal of Computer Applications  
Spam is a major threat to web security. The web of trust is being abused by the spammers through their ever evolving new tactics for their personal gains.  ...  Web Security being a prime challenge for search engines has motivated the researchers in academia and industry to devise new techniques for web spam detection.  ...  Various approaches followed to detect this spam content are detailed as follows: Machine Learning Approach This approach requires designing the programs that learn from experience and try to detect patterns  ... 
doi:10.5120/17655-8467 fatcat:vjlkkwa6wbeupe6afkstqeeday

Search Engine Spam Detection using an Integrated Hybrid Genetic Algorithm based Decision Tree

D. Saraswathi, A. Vijaya
2016 International Journal of Computer Applications  
So there is a need to detect it in efficient way. The proposed system detects the search engine spam using an integrated hybrid genetic algorithm based decision tree.  ...  Search Engine spam is a poison for the search engine. It is created by the search engine spammers for commercial benefits. It affects quality of search engine.  ...  Link spam creates link between the web pages to increase ranking [19, 12] . The spam pages were detected through content analysis by using C4.5 classifier.  ... 
doi:10.5120/ijca2016908027 fatcat:exwdgt7pond3vei4zhi3sx4ji4

Comprehensive Literature Review on Machine Learning Structures for Web Spam Classification

Kwang Leng Goh, Ashutosh Kumar Singh
2015 Procedia Computer Science  
In this paper, the machine learning algorithms for Web spam detection were focused.  ...  The highlighted bold AUC results in the tables denote as the highest AUC result for the particular feature set. 33 have developed 10 new features generated by genetic programming that work better than  ... 
doi:10.1016/j.procs.2015.10.069 fatcat:dfz6obtpkrd7dkbtacqt2jewiy

Towards Web Spam Filtering with Neural-Based Approaches [chapter]

Renato Moraes Silva, Tiago A. Almeida, Akebo Yamakami
2012 Lecture Notes in Computer Science  
Given this scenario, this paper presents a performance evaluation of different models of artificial neural networks to automatically classify web spam.  ...  We have conducted an empirical experiment using a well-known, large and public web spam database. The results indicate that the evaluated approaches outperform the state-of-the-art web spam filters.  ...  [1] propose to derive new features for web spam detection, using genetic programming, from existing link-based features and use them as the inputs to support vector machine and genetic programming classifiers  ... 
doi:10.1007/978-3-642-34654-5_21 fatcat:g6dsrbvk7bdfxo6wkh5dd4u4o4

SPAM Detection: Naïve Bayesian Classification and RPN Expression-Based LGP Approaches Compared [chapter]

Clyde Meli, Zuzana Kominkova Oplatkova
2016 Advances in Intelligent Systems and Computing  
The performance of the two is investigated using a public corpus and a recent private spam collection, concluding that the system based on RPN LGP (Linear Genetic Programming) gave better results compared  ...  The paper shows the advantage of the use of Reverse Polish Notation (RPN) expressions with feature extraction compared to the traditional Naïve Bayesian classifier used for spam detection assuming the  ...  The system may be extended to detect web spam, network intrusions and other malware.  ... 
doi:10.1007/978-3-319-33622-0_36 fatcat:2wd2kb6ajnewnkhpa6rpekdtne

Web Spam Detection Using Multiple Kernels in Twin Support Vector Machine [article]

Seyed Hamid Reza Mohammadi, Mohammad Ali Zare Chahooki
2016 arXiv   pre-print
There are many approaches to web spam pages detection such as measurement of HTML code style similarity, pages linguistic pattern analysis and machine learning algorithm on page content features.  ...  In this paper we improved accuracy of web spam detection by using two nonlinear kernels into Twin SVM (TSVM) as an improved extension of SVM.  ...  SVM despite is successfully applied to many problems of differentiating positive and negative instances, suitable accuracy has not been reported for web spam detection by it.  ... 
arXiv:1605.02917v1 fatcat:d43zyrbqtrdr3duqgd66ilebwq

Spam and denial of information attacks and defenses

Carlton Pu, John P. Imlay
2009 Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research Cyber Security and Information Intelligence Challenges and Strategies - CSIIRW '09  
In the public information area, observed DOI attacks include spam, web spam, and blog spam. Predicted DOI attacks include spit (spam over VoIP) and social network analysis (to be described below).  ...  Somewhat surprisingly, we have found an interesting solution [4] to the arms race between spam producers and victims by exploiting the asymmetry between spam messages and legitimate messages.  ...  By assuming a connection between spam messages and web spam, we used URLs contained in spam messages to accumulate a corpus of web spam documents to support future web spam research that can evaluate their  ... 
doi:10.1145/1558607.1558613 dblp:conf/csiirw/PuI09 fatcat:assxjd3azjgdjcej2rzicyo46e

Detection of Malicious Web Pages Using Machine Learning Technique

2020 International Journal of Advanced Trends in Computer Science and Engineering  
This work detects such malicious URLs using a built machine learning which we implemented to organize Uniform Resource Locator (URL) into two categories -trustworthy and untrusted.  ...  This platform is made efficient and accessible by the use of search engines (electronic library) to effectively satisfy the needs of various users.  ...  By this, we see different drawback of the few mentioned. [12] In their work proposed linked and context based techniques for automating the detection of Web spams.  ... 
doi:10.30534/ijatcse/2020/243952020 fatcat:qpgmch6qwnewppr27j7kvjuuey

Evaluation of spam detection and prevention frameworks for email and image spam

Pedram Hayati, Vidyasagar Potdar
2008 Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services - iiWAS '08  
This paper aims to analyse existing works in two different categories of spam domains -email spam and image spam to gain a deeper understanding of this problem.  ...  Excessive amounts of spam are not only reducing the quality of information available on the Internet but also creating concern amongst search engines and web users.  ...  Honey Spam [10] Memorybased [12] Keywor d-based [13] Genetic program ming [14] Bayesi anbased [11] Black list [4] Prevention (P) or Detection (D) strategy?  ... 
doi:10.1145/1497308.1497402 dblp:conf/iiwas/HayatiP08 fatcat:j3qm2maj7bbitl36fs3kfpfxpe

E-Mail Spam Classification using Naive Bayesian Classifier

Mr. B. Krishna
2021 International Journal for Research in Applied Science and Engineering Technology  
To solve this problem the different spam filtering technique is used. The spam filtering techniques are used to protect our mailbox for spam mails.  ...  The e-mail spam is nothing it's an advertisement of any company/product or any kind of virus which is receiving by the email client mailbox without any notification.  ...  RELATED WORK Web spam which is a major issue throughout today's web search tool; consequently it is important for web crawlers to have the capacity to detect web spam amid creeping.  ... 
doi:10.22214/ijraset.2021.36153 fatcat:erdp5hurwvfcdj2qwliokwyp2u

Detecting Spam Email with Machine Learning Optimized with Bio-Inspired Meta-Heuristic Algorithms

Simran Gibson, Biju Issac, Li Zhang, Seibu Mary Jacob
2020 IEEE Access  
MACHINE LEARNING Researchers have taken a lead to implement machine learning models to detect spam emails.  ...  Many tools and techniques are offered by companies in order to detect spam emails in a network.  ... 
doi:10.1109/access.2020.3030751 fatcat:bmdmbl3qlbdxpfwmuiuwkjl5cm

Practical Web Spam Lifelong Machine Learning System with Automatic Adjustment to Current Lifecycle Phase

Marcin Luckner
2019 Security and Communication Networks  
Machine learning techniques are a standard approach in spam detection.  ...  The most popular public web spam dataset that can be used to train a spam detector—WEBSPAM-UK2007—is over ten years old.  ...  Therefore, it is not possible to create a classifier using a static learning set that obtains a stable accuracy of web spam detection.  ... 
doi:10.1155/2019/6587020 fatcat:ijrbxkiihbdqla2fd32q4dwhj4

Security techniques for intelligent spam sensing and anomaly detection in online social platforms

Monther Aldwairi, Loai Tawalbeh
2020 International Journal of Electrical and Computer Engineering (IJECE)  
This research provides a comprehensive related work survey and investigates the application of artificial neural networks for intrusion detection systems and spam filtering for OSNs.  ...  In addition, we use the concept of social graphs and weighted cliques in the detection of suspicious behavior of certain online groups and to prevent further planned actions such as cyber/terrorist attacks  ...  ACKNOWLEDGEMENTS This work was supported by Zayed University Research Office, Research Cluster Award #17079.  ... 
doi:10.11591/ijece.v10i1.pp275-287 fatcat:hucpuhkbhfam5efmyjva3l2iki
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