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Web-log cleaning for constructing sequential classifiers

Qiang Yang, Tianyiian Li, Ke Wang
<span title="">2003</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pcyo5wihbzcwxb7m76lyrd4tvu" style="color: black;">Applied Artificial Intelligence</a> </i> &nbsp;
Furthermore, when constructing the classification model, we adopt a pessimistic selection method for choosing among alternative predictions.  ...  In this work, we construct sequential classifiers for predicting the users' next visits based on the current actions using association rule mining.  ...  For example, a default rule can simply be the most frequently requested page in the training web log.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/713827182">doi:10.1080/713827182</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qdjeweqojndi7lnr75ulipuncq">fatcat:qdjeweqojndi7lnr75ulipuncq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20040721032341/http://www.cs.sfu.ca:80/~wangk/pub/webclean.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c6/68/c66810d29155493619f39342236cc2b2dd5918f0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/713827182"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> tandfonline.com </button> </a>

Prediction of web services reliability based on decision tree classification method

Zhichun Jia, Qiuyang Han, Yanyan Li, Yuqiang Yang, Xing Xing
<span title="">2020</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/amujz7fcqna6do727z6ev3ueo4" style="color: black;">Computers Materials &amp; Continua</a> </i> &nbsp;
This paper proposes a service decision tree based post-pruning prediction approach. This paper first defines the five reliability levels for measuring the reliability of services.  ...  Moreover, this paper applies the post-pruning strategy to optimize the generated model for avoiding the over-fitting.  ...  Finally, when the user sends a reliability prediction request, the prediction result of the reliability can be generated by the decision tree for web services and return to the user.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2020.09722">doi:10.32604/cmc.2020.09722</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eheeslz4hrgdfkgw652xuu7qta">fatcat:eheeslz4hrgdfkgw652xuu7qta</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709120817/https://www.techscience.com/cmc/v63n3/38871/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a5/02/a502f0c38125bf0b7f964d93dd9d10022d5b4ed1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2020.09722"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Classification of Malicious Web Sessions

Katerina Goseva-Popstojanova, Goce Anastasovski, Risto Pantev
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3x67lwnpmjf6xcsnrggez3gqqe" style="color: black;">2012 21st International Conference on Computer Communications and Networks (ICCCN)</a> </i> &nbsp;
Furthermore, we follow the principle of Occam's razor, that is, we seek for the simplest possible model that can successfully classify malicious Web sessions.  ...  The ever increasing number of vulnerabilities and reported attacks on Web systems clearly illustrate the need for better understanding of malicious cyber activities, which will allow better protection,  ...  For example, unpruned J48 tree for Web 2.0 II has 59 leaves and 117 nodes, while pruned J48 tree has 33 leaves and 65 nodes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icccn.2012.6289291">doi:10.1109/icccn.2012.6289291</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icccn/Goseva-PopstojanovaAP12.html">dblp:conf/icccn/Goseva-PopstojanovaAP12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3n4f37bi5vccnn5zcrlcyvhara">fatcat:3n4f37bi5vccnn5zcrlcyvhara</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812032013/http://community.wvu.edu/~kagoseva//Papers/ICCCN-2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f8/11/f811591046825c086fc2dc7c7b376382f135e407.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icccn.2012.6289291"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

CloudZombie: Launching and Detecting Slow-Read Distributed Denial of Service Attacks from the Cloud

Saeed Shafieian, Mohammad Zulkernine, Anwar Haque
<span title="">2015</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eksz6udvbjavvlbt4ho3tdsi6q" style="color: black;">2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing</a> </i> &nbsp;
The attack exhausts the target's resources such as Web server connection pool and generally needs much less bandwidth compared to traditional volumetric attacks.  ...  The Cloud is an ideal platform to launch slow-read attack, since virtual machines on the Cloud can be easily exploited as a botnet for the purpose of this attack.  ...  The authors would also like to thank Jenny Chien for helping in pre-processing the datasets for the experiments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cit/iucc/dasc/picom.2015.261">doi:10.1109/cit/iucc/dasc/picom.2015.261</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/IEEEcit/ShafieianZH15.html">dblp:conf/IEEEcit/ShafieianZH15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/65n4pxdf7nbn3chquanuhtichm">fatcat:65n4pxdf7nbn3chquanuhtichm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811071650/http://www.saeedsh.com/resources/CloudZombie.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/36/fa/36fac7c4bb086b6e9079ce33fcaefba92a2ddbdf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cit/iucc/dasc/picom.2015.261"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Using Multiclass Machine Learning Methods to Classify Malicious Behaviors Aimed at Web Systems

Katerina Goseva-Popstojanova, Goce Anastasovski, Risto Pantev
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/t5wjgfbu4bb3xjbswdgysknzhm" style="color: black;">2012 IEEE 23rd International Symposium on Software Reliability Engineering</a> </i> &nbsp;
This paper is focused on multiclass classification of malicious Web activities using three supervised machine learning methods: J48, PART, and Support Vector Machines (SVM).  ...  The empirical analysis is based on data collected in duration of nine months by a highinteraction honeypot consisting of a three-tier Web system, which included Web 2.0 applications (i.e., a blog and wiki  ...  Before continuing the comparison of the learners, we discuss the top ranked features which have the highest predictive power for the classification of malicious Web traffic.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/issre.2012.30">doi:10.1109/issre.2012.30</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/issre/Goseva-PopstojanovaAP12.html">dblp:conf/issre/Goseva-PopstojanovaAP12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p6ssvekdwrhzzcjfqpktdbpzhi">fatcat:p6ssvekdwrhzzcjfqpktdbpzhi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812032227/http://community.wvu.edu/~kagoseva//Papers/ISSRE-2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5d/46/5d466e30d93860f42a110064af591ed19cb8ac82.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/issre.2012.30"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Semantic Web Usage Mining to develop Prediction System

Nu WarHsan
<span title="2014-12-18">2014</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
In this paper, the prediction system is developed which extracts the key web objects from web log file and apply a semantic web to mine actionable intelligence.  ...  Web usage mining has been applied effectively in prediction system to overcome deficiencies of traditional approaches.  ...  It also described as the future work to predict user's future requests by using different techniques such as classification, clustering and association rule mining.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/18815-0414">doi:10.5120/18815-0414</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ld5wldsuujdf7cwjfvuuq6u3ti">fatcat:ld5wldsuujdf7cwjfvuuq6u3ti</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180604034523/https://research.ijcaonline.org/volume107/number13/pxc3900414.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/72/3e/723e5b67d5d58e268031520e53f98be1346607cb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/18815-0414"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Enhanced User Navigation Prediction using Ensembling Clustering and Classification in weblog files

Dr. Sujatha V., Dr. Punithavalli M., Dr.Ranjit Jeba Thangiah
<span title="2018-01-15">2018</span> <i title="ENGG Journals Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wqwmkedmbjdr7n4zrjnes7ynya" style="color: black;">International Journal on Computer Science and Engineering</a> </i> &nbsp;
The proposed system uses heterogeneous clustering ensemble model to group similar browsing sequences together, which is then used by a heterogeneous classification ensemble model to predict future requests  ...  Next web page prediction, a task of web usage mining, is used to envisage future requirements of the user during surfing.  ...  for predicting next web page.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21817/ijcse/2018/v10i1/181001022">doi:10.21817/ijcse/2018/v10i1/181001022</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/67l6gqfxmzf7biitqtuk2wsthu">fatcat:67l6gqfxmzf7biitqtuk2wsthu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721095803/http://www.enggjournals.com/ijcse/doc/IJCSE18-10-01-022.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a6/ae/a6aead1b4abd04a2ce6eddec0e5e9c36f15440d0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21817/ijcse/2018/v10i1/181001022"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Decision Tree Approach to Classify Web Services using Quality Parameters [article]

Shilpa Sonawani, Debajyoti Mukhopadhyay
<span title="2013-11-25">2013</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This problem can be solved by considering the quality of web services to distinguish functionally similar web services. Nine different quality parameters are considered.  ...  With the increase in the number of web services, many web services are available on internet providing the same functionality, making it difficult to choose the best one, fulfilling users all requirements  ...  ZeroR: It predicts the majority class in the training data for problems with a categorical class value, and the average class value for numeric prediction problems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1311.6240v1">arXiv:1311.6240v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xsp4yvajuzeffmjoutyxskguxy">fatcat:xsp4yvajuzeffmjoutyxskguxy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201001025920/https://arxiv.org/ftp/arxiv/papers/1311/1311.6240.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dc/78/dc78921f23627c5417bd9ebb39f38816d32fea5d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1311.6240v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

An On-Line Learning Statistical Model to Detect Malicious Web Requests [chapter]

Harald Lampesberger, Philipp Winter, Markus Zeilinger, Eckehard Hermann
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jajl7qtqc5cy7oavratsldrv2y" style="color: black;">Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering</a> </i> &nbsp;
In this paper, we present a generic method for detecting anomalous and potentially malicious web requests from the network's point of view without prior knowledge or training data of the web-based application  ...  Malicious requests are in different order or include entities which deviate from the structure of the majority of requests.  ...  For prediction, the symbols of the web request are mapped to similar symbols in A if possible. This mapping function Φ requires a metric to compare symbols.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-31909-9_2">doi:10.1007/978-3-642-31909-9_2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/w3xv5awk6jcoppsnv3coeca4ym">fatcat:w3xv5awk6jcoppsnv3coeca4ym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20161018144348/https://www.cs.princeton.edu/~pwinter/pdf/lampesberger2011a.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8c/f1/8cf1ab9e15ad190c2f1e337da18263b876009751.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-31909-9_2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

An integrated model for next page access prediction

F. Khalil, J. Li, H. Wang
<span title="">2009</span> <i title="Inderscience Publishers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ogftfk4z25bzxpqb3ucaugqtvm" style="color: black;">International Journal of Knowledge and Web Intelligence</a> </i> &nbsp;
Recent research initiatives have addressed the need for improved performance of Web page prediction that would profit many applications, e-business in particular.  ...  Implementing pattern discovery techniques as such helps predict the next page to be accessed a Web user based on the user's previous browsing patterns.  ...  All three methods have been widely used for Web page access prediction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/ijkwi.2009.027925">doi:10.1504/ijkwi.2009.027925</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6bmqs5t7ebgjxnvydpyjwbat2q">fatcat:6bmqs5t7ebgjxnvydpyjwbat2q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120124155820/http://www.cis.unisa.edu.au/~lijy/Integration.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/13/d3/13d3eb03d2483468397dd31fbe4c2ee55b6329c6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/ijkwi.2009.027925"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Delivering Categorized News Items Using RSS Feeds and Web Services

Subrata Saha, Atul Sajjanhar, Shang Gao, Robert Dew, Ying Zhao
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eksz6udvbjavvlbt4ho3tdsi6q" style="color: black;">2010 10th IEEE International Conference on Computer and Information Technology</a> </i> &nbsp;
In this paper, we propose a method for managing RSS feeds from various news websites.  ...  A prototype was implemented using Rapidminer 4.3 as a data mining tool and SVM as a classification algorithm.  ...  RESULTS AND D A training model is created from applying the classification algorithm then used for prediction. For featu pre-processing techniques and TFI data into vectors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cit.2010.136">doi:10.1109/cit.2010.136</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/IEEEcit/SahaSGDZ10.html">dblp:conf/IEEEcit/SahaSGDZ10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hjy5wruusncpnnfgqpg2tlgcay">fatcat:hjy5wruusncpnnfgqpg2tlgcay</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171112135802/https://core.ac.uk/download/pdf/13989345.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2d/9c/2d9cbc06d41fadf4c73ff088a2e15538a34d1d6d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cit.2010.136"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Improving ELM-Based Service Quality Prediction by Concise Feature Extraction

Yuhai Zhao, Ying Yin, Gang Sheng, Bin Zhang, Guoren Wang
<span title="">2015</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
An efficient prefix tree based mining algorithm together with some effective pruning rules is developed to mine such rules.  ...  Web services often run on highly dynamic and changing environments, which generate huge volumes of data.  ...  We select two different scenarios: one is Web service quality prediction and the other is Web service fault diagnosis prediction. We provide two kinds of datasets. For the real dataset, we use E.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2015/325192">doi:10.1155/2015/325192</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sw647zdepzekxn2kt3tcyv53ku">fatcat:sw647zdepzekxn2kt3tcyv53ku</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200212122155/http://downloads.hindawi.com/journals/mpe/2015/325192.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1b/64/1b64429b26b5757bdc3f5f0f46a32f83fc00af6c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2015/325192"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Characterization and classification of malicious Web traffic

Katerina Goseva-Popstojanova, Goce Anastasovski, Ana Dimitrijevikj, Risto Pantev, Brandon Miller
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/e25s2ofdbnfb3j2rstrnkqsqfi" style="color: black;">Computers &amp; security</a> </i> &nbsp;
This study is focused on characterization and classification of malicious cyber activities aimed at Web systems.  ...  Empirical study Malicious web sessions Vulnerability scans Attacks Statistical inference Classification a b s t r a c t Web systems commonly face unique set of vulnerabilities and security threats due  ...  Alex Baker for their support with the experimental setup and data extraction process. We also thank the anonymous reviewers for their comments and suggestions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cose.2014.01.006">doi:10.1016/j.cose.2014.01.006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/azawx4vvpzc6bnlvkwe3b2uzs4">fatcat:azawx4vvpzc6bnlvkwe3b2uzs4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812032412/http://community.wvu.edu/~kagoseva//Papers/COSE-2014.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b7/15/b715cf9f617e631c2238f1d00885845cdc734708.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cose.2014.01.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Intelligent web caching using machine learning methods

Sarina Sulaiman, Siti Mariyam Shamsuddin, Ajith Abraham, Shahida Sulaiman
<span title="">2011</span> <i title="Czech Technical University in Prague - Central Library"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pdm5r35z65fkvamed4nxpeyqqy" style="color: black;">Neural Network World</a> </i> &nbsp;
This research includes four methods that are Classification and Regression Trees (CART), Multivariate Adaptive Regression Splines (MARS), Random Forest (RF) and TreeNet (TN) for classification on Web caching  ...  This research aims to introduce an advanced machine learning method for a classification problem in Web caching that requires a decision to cache or not to cache Web objects in a proxy cache server.  ...  Each completed request for a Web file increases the number of hit for the requested file.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14311/nnw.2011.21.025">doi:10.14311/nnw.2011.21.025</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yagb2ocr6bdvvlp3vq7ljzgqeq">fatcat:yagb2ocr6bdvvlp3vq7ljzgqeq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705074049/http://isda01.softcomputing.net/nnw2011_sarina.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d5/31/d531054fb48b5ae627e0ed32f3ca80fc2af22a6c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14311/nnw.2011.21.025"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Dark Web Data Classification Using Neural Network

Anand Singh Rajawat, Pradeep Bedi, S. B. Goyal, Sandeep Kautish, Zhang Xihua, Hanan Aljuaid, Ali Wagdy Mohamed, Ahmed Mostafa Khalil
<span title="2022-03-28">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3wwzxqpotbc73bzpemzybzg7ee" style="color: black;">Computational Intelligence and Neuroscience</a> </i> &nbsp;
To require an approach for learning the criminal behavior to check the recent request for improving the labeled data as a user profiling, Dark Web Structural Patterns mining in the case of multidimensional  ...  Uncertain classification results cause a problem of not being able to predict user behavior. Since data of multidimensional nature has feature mixes, it has an adverse influence on classification.  ...  . is pruning approach permits the search space to be complete after a pattern is noticeable as infrequent; then no novel pattern requirements are produced. e enormous volumes of data in numerous request  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/8393318">doi:10.1155/2022/8393318</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35387252">pmid:35387252</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8979735/">pmcid:PMC8979735</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/agotv724mvapzp3btmy4alkpfu">fatcat:agotv724mvapzp3btmy4alkpfu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220329041347/https://downloads.hindawi.com/journals/cin/2022/8393318.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/67/9f/679f40b319b6abb227e035ed224bf8ebba459d4f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/8393318"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979735" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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