The Experts below are selected from a list of 2800917 Experts worldwide ranked by ideXlab platform
Shi Lei - One of the best experts on this subject based on the ideXlab platform.
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MapReduce-based Bayesian Anti-Spam filtering mechanism
Journal of Computer Applications, 2011Co-Authors: Shi LeiAbstract:The Bayesian Anti-Spam filter has strong classification capacity and high accuracy,but the mail training and learning at early stage consume mass system and network resources and affect system efficiency.A MapReduce-based Bayesian Anti-Spam filtering mechanism was proposed,which first improved the traditional Bayesian filtering technique,and then optimized the mail training and learning by taking advantage of mass data processing of MapReduce.The experimental results show that,compared with the traditional Bayesian filtering technique,K-Nearest Neighbor(KNN) and Support Vector Machine(SVM) algorithms,the MapReduce-based Bayesian Anti-Spam filtering mechanism performs better in recall,precision and accuracy,reduces the cost of mail learning and classifying and improves the system efficiency.
José Ramon Méndez - One of the best experts on this subject based on the ideXlab platform.
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HAIS - Evolutionary Multi-objective Scheduling for Anti-Spam Filtering Throughput Optimization
Lecture Notes in Computer Science, 2017Co-Authors: David Ruano-ordás, Iryna Yevseyeva, Vitor Basto-fernandes, José Ramon MéndezAbstract:This paper presents an evolutionary multi-objective optimization problem formulation for the Anti-Spam filtering problem, addressing both the classification quality criteria (False Positive and False Negative error rates) and email messages classification time (minimization). This approach is compared to single objective problem formulations found in the literature, and its advantages for decision support and flexible/adaptive Anti-Spam filtering configuration is demonstrated. A study is performed using the Wirebrush4SPAM framework Anti-Spam filtering and the SpamAssassin email dataset. The NSGA-II evolutionary multi-objective optimization algorithm was applied for the purpose of validating and demonstrating the adoption of this novel approach to the Anti-Spam filtering optimization problem, formulated from the multi-objective optimization perspective. The results obtained from the experiments demonstrated that this optimization strategy allows the decision maker (Anti-Spam filtering system administrator) to select among a set of optimal and flexible filter configuration alternatives with respect to classification quality and classification efficiency.
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Optimization of Anti-Spam Systems with Multiobjective Evolutionary Algorithms
Information Resources Management Journal, 2013Co-Authors: Vitor Basto-fernandes, Iryna Yevseyeva, José Ramon MéndezAbstract:In this paper Anti-Spam filtering is presented as a cumbersome service, as opposed to a software product perspective. The huge human effort for setting up, adaptation, maintenance, and tuning of filters for spam detection in Anti-Spam systems is explained. Choosing the best importance scores for the spam filters is essential for the accuracy of any rules based Anti-Spam system, and is also one of the biggest challenges in this research area. Optimal filters score settings for Apache SpamAssassin project the most widely adopted Anti-Spam open-source software is addressed. In addition to a survey done on single/multi-objective optimization research in this area, we also present a study for filters score setting using multiobjective optimization based on two most representative evolutionary algorithms, NSGA II and SPEA2. Problem description, simulation and results analysis is done for SpamAssassin public mail corpus which is widely used for benchmarking purposes.
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Optimising Anti-Spam filters with evolutionary algorithms
Expert Systems with Applications, 2013Co-Authors: Iryna Yevseyeva, Vitor Basto-fernandes, David Ruano-ordás, José Ramon MéndezAbstract:This work is devoted to the problem of optimising scores for Anti-Spam filters, which is essential for the accuracy of any filter based Anti-Spam system, and is also one of the biggest challenges in this research area. In particular, this optimisation problem is considered from two different points of view: single and multiobjective problem formulations. Some of existing approaches within both formulations are surveyed, and their advantages and disadvantages are discussed. Two most popular evolutionary multiobjective algorithms and one single objective algorithm are adapted to optimisation of the Anti-Spam filters' scores and compared on publicly available datasets widely used for benchmarking purposes. This comparison is discussed, and the recommendations for the developers and users of optimising Anti-Spam filters are provided.
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CENTERIS (2) - Survey on Anti-Spam Single and Multi-objective Optimization
Communications in Computer and Information Science, 2011Co-Authors: Iryna Yevseyeva, Vitor Basto-fernandes, José Ramon MéndezAbstract:In this paper Anti-Spam filtering is presented as a cumbersome service, as opposing to a software product perspective. The human effort for setting up, adaptation, maintenance and tuning of filters for spam detection is stressed. Because choosing the proper scores (relevance) for the spam filters is essential to the accuracy of the Anti-Spam system and one of the biggest challenges for the Apache SpamAssassin project (the most widely adopted Anti-Spam open-source software), we present a survey on single and multi-objective optimization studies for this purpose. Our survey constitutes a contribution and a stimulus for further research on this open research topic, with particular emphasis on evolutionary multi-objective approaches.
Wang Shen - One of the best experts on this subject based on the ideXlab platform.
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Anti-Spam Technique Based on Users Feedback
Computer Engineering, 2007Co-Authors: Wang ShenAbstract:On the basis of analyzing the traditional spam filtering techniques,this paper presents a novel Anti-Spam technique based on the users feedback.By introducing the novel users’ feedback mechanism,the technique adopts an improved Na?ve Bayesian approach to construct classifiers for specific users to fulfill spam filtering.Experiments on well-known mail corpus and prototype demonstrate that the technique is able to reduce false positives and improve the availability of Anti-Spam system.
Guido Schryen - One of the best experts on this subject based on the ideXlab platform.
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Do Anti-Spam Measures Effectively Cover the E-Mail Communication Network? A Formal Approach
2007Co-Authors: Guido SchryenAbstract:Spam e-mails have become a serious technological and economic problem. Up to now, by deploying complementary Anti-Spam measures, we have been reasonably able to withstand spam e-mails and use the Internet for regular communication. However, if we are to avert the danger of losing the Internet e-mail service in its capacity as a valuable, free and worldwide medium of open communication, Anti-Spam activities should be performed more systematically than is currently the case regarding the mainly heuristic, Anti-Spam measures in place. A formal framework, within which the existing delivery routes that a spam e-mail may take, and Anti-Spam measures and their effectiveness can be investigated, will perhaps encourage a shift in methodology and pave the way for new, holistic Anti-Spam measures. This paper presents a model of the Internet e-mail infrastructure as a directed graph and a deterministic finite automaton and draws on automata theory to formally derive the spam delivery routes. The most important Anti-Spam measures are then described. Methods controlling only specific delivery routes are evaluated in terms of how effectively they cover the modeled e-mail infrastructure; methods operating independently of any particular routes receive a more general assessment.
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Anti-Spam Legislation: An Analysis of Laws and their Effectiveness
2007Co-Authors: Guido SchryenAbstract:More than half of world-wide e-mail traffic - an estimated total of several billion e-mails per day - consists of spam. This is becoming a considerable disturbance to telecommunications. Spam is also closely related to other kinds of cyber crime as it possibly contains malicious software or is pursuing some kind of fraudulent aim, such as phishing. Besides technical and organizational measures, many countries have introduced Anti-Spam legislation. However, today's world-wide legislative coverage of spam is heterogeneous, and its effectiveness is controversially discussed. This article describes important parameters by which Anti-Spam legislation can vary and gives an overview and analysis of world-wide Anti-Spam legislation, including the European Directive 2002/58/EC, the U.S. CANSPAM Act of 2003, and international cooperation, such as the London Action Plan. The article then proceeds to discuss the effectiveness of current laws, and it identifies problems resulting from the fact that an international phenomenon is being addressed by national legislation. Finally, the article presents suggestions for overcoming some of these problems.
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A Formal Approach towards Assessing the Effectiveness of Anti-Spam Procedures
2007Co-Authors: Guido SchryenAbstract:Spam e-mails have become a serious technological and economic problem. So far we have been reasonably able to resist spam e-mails and use the Internet for regular communication by deploying complementary Anti-Spam approaches. However, if we are to avert the danger of losing the Internet e-mail service as a valuable, free, and worldwide medium of open communication, Anti-Spam activities should be performed more systematically than is done in current, mainly heuristic, Anti-Spam approaches. A formal framework within which the modes of spam delivery, Anti-Spam approaches, and their effectiveness can be investigated, may encourage a shift in methodology and pave the way for new, holistic Anti-Spam approaches. This paper presents a model of the Internet e-mail infrastructure as a directed graph and a deterministic finite automaton, and draws on automata theory to formally derive the modes of spam delivery possible. Finally the effectiveness of Anti-Spam approaches in terms of coverage of spamming modes is assessed.
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Anti-Spam Measures: Analysis and Design
2007Co-Authors: Guido SchryenAbstract:This book examines Anti-Spam measures in terms of their potentials, limitations, advantages, and drawbacks. These factors determine to which extent the measures can contribute to the reduction of spam in the long run. It examines legislative, organizational, behavioral, and technological Anti-Spam measures, including an insight into their effectiveness. In addition, it presents the conceptual development and analysis of an infrastructural e-mail framework, which features such a complementary application, and considers deployment issues.
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Anti-Spam legislation: An analysis of laws and their effectiveness
Information & Communications Technology Law, 2007Co-Authors: Guido SchryenAbstract:More than half of worldwide e-mail traffic (an estimated total of several billion e-mails per day) consists of spam. This is becoming a considerable disturbance to telecommunications. Spam is also closely related to other kinds of cybercrime as it possibly contains malicious software or is pursuing some kind of fraudulent aim such as phishing. As well as technical and organizational measures, many countries have introduced Anti-Spam legislation. However, today's worldwide legislative coverage of spam is heterogeneous, and its effectiveness is discussed controversially. This article describes important parameters by which Anti-Spam legislation can vary and gives an overview and analysis of worldwide Anti-Spam legislation, including the European Directive 2002/58/EC and the United States CANSPAM Act 2003, and international cooperation, such as the London Action Plan. The article then proceeds to discuss the effectiveness of current laws and identifies problems resulting from the fact that an international phenomenon is being addressed by national legislation. Finally, the article presents suggestions for overcoming some of these problems.
Zhan Chua - One of the best experts on this subject based on the ideXlab platform.
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An Anti-Spam E-mail Filter Based on LVQ Network
Computer Science, 2005Co-Authors: Zhan ChuaAbstract:Along with wide application of E-mail nowadays,a large number of spam E-mails flood into people's life and bring catastrophe to their study and life. This paper presents a novel Anti-Spam e-mail filter based-LVQ network in terms of spam e-mail's characteristic which are mainly made up of several kinds commercial or political spam emails at present. Our experiment has proved that our filter based-LVQ is superior to Anti-Spam email filter based-Bayes and that based-BP in total performances apparently.
