Anti-Spam Methods
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Scripting Strategies in Computer Supported Collaborative Learning Environments
SCRIPTING STRATEGIES IN COMPUTER SUPPORTED COLLABORATIVE LEARNING ENVIRONMENTS Mémoire présenté pour l’obtention du DES STAF, TECFA FAPSE, Université de Genève Michele Notari [email protected] October, 2003 Jury: Advisor: Daniel K. Schneider Mireille Bétrancourt Barbara Class SCRIPTING STRATEGIES IN COMPUTER SUPPORTED COLLABORATIVE LEARNING ENVIRONMENTS 2 Index: Acknowledgments............................................................................................................. 5 Abstract ............................................................................................................................ 6 1 Introduction................................................................................................................... 8 1.1 Learning theories / learning models .............................................................................. 10 1.2 Learning models based on instructional pedagogy..................................................... 10 1.3 Learning models based on a constructive pedagogy .................................................. 11 1.3.1 Constructivism ..................................................................................................... 11 1.3.1.1 Distributed Cognition ........................................................................................12 1.3.1.2 Situated Cognition ............................................................................................12 1.3.1.3 Cognitive Flexibility Theory...............................................................................13 -
Cyber-Synchronicity: the Concurrence of the Virtual
Cyber-Synchronicity: The Concurrence of the Virtual and the Material via Text-Based Virtual Reality A dissertation presented to the faculty of the Scripps College of Communication of Ohio University In partial fulfillment of the requirements for the degree Doctor of Philosophy Jeffrey S. Smith March 2010 © 2010 Jeffrey S. Smith. All Rights Reserved. This dissertation titled Cyber-Synchronicity: The Concurrence of the Virtual and the Material Via Text-Based Virtual Reality by JEFFREY S. SMITH has been approved for the School of Media Arts and Studies and the Scripps College of Communication by Joseph W. Slade III Professor of Media Arts and Studies Gregory J. Shepherd Dean, Scripps College of Communication ii ABSTRACT SMITH, JEFFREY S., Ph.D., March 2010, Mass Communication Cyber-Synchronicity: The Concurrence of the Virtual and the Material Via Text-Based Virtual Reality (384 pp.) Director of Dissertation: Joseph W. Slade III This dissertation investigates the experiences of participants in a text-based virtual reality known as a Multi-User Domain, or MUD. Through in-depth electronic interviews, staff members and players of Aurealan Realms MUD were queried regarding the impact of their participation in the MUD on their perceived sense of self, community, and culture. Second, the interviews were subjected to a qualitative thematic analysis through which the nature of the participant’s phenomenological lived experience is explored with a specific eye toward any significant over or interconnection between each participant’s virtual and material experiences. An extended analysis of the experiences of respondents, combined with supporting material from other academic investigators, provides a map with which to chart the synchronous and synonymous relationship between a participant’s perceived sense of material identity, community, and culture, and her perceived sense of virtual identity, community, and culture. -
Gerrit Heinemann Christian Gaiser the Future of Location-Based
Management for Professionals Gerrit Heinemann Christian Gaiser Social Local Mobile The Future of Location-based Services Management for Professionals More information about this series at http://www.springer.com/series/10101 Gerrit Heinemann • Christian Gaiser Social – Local – Mobile The Future of Location-based Services Gerrit Heinemann Christian Gaiser eWeb Research Center Chief Executive Officer (CEO) Niederrhein University Bonial International GmbH Mo¨nchengladbach Berlin Germany Germany Translation from German language edition: SoLoMo – Always-on im Handel by Gerrit Heinemann Copyright # Springer Fachmedien Wiesbaden 2014 Springer Fachmedien Wiesbaden is a part of Springer Science+Business Media All Rights Reserved ISSN 2192-8096 ISSN 2192-810X (electronic) ISBN 978-3-662-43963-0 ISBN 978-3-662-43964-7 (eBook) DOI 10.1007/978-3-662-43964-7 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2014953248 # Springer-Verlag Berlin Heidelberg 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. -
A Rule Based Approach for Spam Detection
A RULE BASED APPROACH FOR SPAM DETECTION Thesis submitted in partial fulfillment of the requirements for the award of degree of Master of Engineering In Computer Science & Engineering By: Ravinder Kamboj (Roll No. 800832030) Under the supervision of: Dr. V.P Singh Mrs. Sanmeet Bhatia Assistant Professor Assistant Professor Computer Science & Engineering Department of SMCA COMPUTER SCIENCE AND ENGINEERING DEPARTMENT THAPAR UNIVERSITY PATIALA – 147004 JULY- 2010 i ii Abstract Spam is defined as a junk Email or unsolicited Email. Spam has increased tremendously in the last few years. Today more than 85% of e-mails that are received by e-mail users are spam. The cost of spam can be measured in lost human time, lost server time and loss of valuable mail. Spammers use various techniques like spam via botnet, localization of spam and image spam. According to the mail delivery process anti-spam measures for Email Spam can be divided in to two parts, based on Emails envelop and Email data. Black listing, grey listing and white listing techniques can be applied on the Email envelop to detect spam. Techniques based on the data part of Email like heuristic techniques and Statistical techniques can be used to combat spam. Bayesian filters as part of statistical technique divides the income message in to words called tokens and checks their probability of occurrence in spam e-mails and ham e-mails. Two types of approaches can be followed for the detection of spam e-mails one is learning approach other is rule based approach. Learning approach required a large dataset of spam e-mails and ham e-mails is required for the training of spam filter; this approach has good time characteristics filter can be retrained quickly for new Spam. -
Address Munging: the Practice of Disguising, Or Munging, an E-Mail Address to Prevent It Being Automatically Collected and Used
Address Munging: the practice of disguising, or munging, an e-mail address to prevent it being automatically collected and used as a target for people and organizations that send unsolicited bulk e-mail address. Adware: or advertising-supported software is any software package which automatically plays, displays, or downloads advertising material to a computer after the software is installed on it or while the application is being used. Some types of adware are also spyware and can be classified as privacy-invasive software. Adware is software designed to force pre-chosen ads to display on your system. Some adware is designed to be malicious and will pop up ads with such speed and frequency that they seem to be taking over everything, slowing down your system and tying up all of your system resources. When adware is coupled with spyware, it can be a frustrating ride, to say the least. Backdoor: in a computer system (or cryptosystem or algorithm) is a method of bypassing normal authentication, securing remote access to a computer, obtaining access to plaintext, and so on, while attempting to remain undetected. The backdoor may take the form of an installed program (e.g., Back Orifice), or could be a modification to an existing program or hardware device. A back door is a point of entry that circumvents normal security and can be used by a cracker to access a network or computer system. Usually back doors are created by system developers as shortcuts to speed access through security during the development stage and then are overlooked and never properly removed during final implementation. -
Antivirus Software Before It Can Detect Them
Computer virus A computer virus is a computer program that can copy itself and infect a computer without the permission or knowledge of the owner. The term "virus" is also commonly but erroneously used to refer to other types of malware, adware, and spyware programs that do not have the reproductive ability. A true virus can only spread from one computer to another (in some form of executable code) when its host is taken to the target computer; for instance because a user sent it over a network or the Internet, or carried it on a removable medium such as a floppy disk, CD, DVD, or USB drive. Viruses can increase their chances of spreading to other computers by infecting files on a network file system or a file system that is accessed by another computer.[1][2] The term "computer virus" is sometimes used as a catch-all phrase to include all types of malware. Malware includes computer viruses, worms, trojan horses, most rootkits, spyware, dishonest adware, crimeware, and other malicious and unwanted software), including true viruses. Viruses are sometimes confused with computer worms and Trojan horses, which are technically different. A worm can exploit security vulnerabilities to spread itself to other computers without needing to be transferred as part of a host, and a Trojan horse is a program that appears harmless but has a hidden agenda. Worms and Trojans, like viruses, may cause harm to either a computer system's hosted data, functional performance, or networking throughput, when they are executed. Some viruses and other malware have symptoms noticeable to the computer user, but many are surreptitious. -
Internet Discussion Forums: a New Modality for Facilitating Peer Writing in Japanese University-Level EFL Classes
DOCUMENT RESUME ED 465 299 FL 027 351 AUTHOR Bay, Dale TITLE Internet Discussion Forums: A New Modality for Facilitating Peer Writing in Japanese University-Level EFL Classes. PUB DATE 1999-00-00 NOTE 26p. PUB TYPE Reports Descriptive (141) EDRS PRICE MF01/PCO2 Plus Postage. DESCRIPTORS *Discussion Groups; *English (Second Language); Foreign Countries; Higher Education; *Internet; Second Language Learning; Student Motivation; Teaching Methods; World Wide Web; *Writing Skills IDENTIFIERS Japan ABSTRACT This paper describes unique opportunities offered by the Internet for Japanese college students learning to write in English. It focuses on tasks that students were assigned using discussion forums on the Internet. It begins by describing the Web site, which is <http://www.esljapan.com>, looking at software considerations, privacy issues, operating system compatibility, and the forum. It goes on to examine teaching methods (types of classes and method applied); procedures and problems; teaching points (headline reading, subject line reading, and peer writing); and the Intensive English Programme, which involved diary writing. Using Communicative English Language Test data as a measure of student ability, the study examined whether it was possible to predict that students with greater ability would post more frequently or post more lines to the Web site than students with lower ability. Results found no relationship between test scores and frequency of student postings. The paper recommends considering other factors that might be indicative of student motivation (e.g., their grades being based on how often they posted). (SM) Reproductions supplied by EDRS are the best that can be made from the original document. Internet Discussion Forums: A new modality for facilitating peer writing in Japanese university-level EFL classes Dale Bay U.S. -
Adversarial Web Search by Carlos Castillo and Brian D
Foundations and TrendsR in Information Retrieval Vol. 4, No. 5 (2010) 377–486 c 2011 C. Castillo and B. D. Davison DOI: 10.1561/1500000021 Adversarial Web Search By Carlos Castillo and Brian D. Davison Contents 1 Introduction 379 1.1 Search Engine Spam 380 1.2 Activists, Marketers, Optimizers, and Spammers 381 1.3 The Battleground for Search Engine Rankings 383 1.4 Previous Surveys and Taxonomies 384 1.5 This Survey 385 2 Overview of Search Engine Spam Detection 387 2.1 Editorial Assessment of Spam 387 2.2 Feature Extraction 390 2.3 Learning Schemes 394 2.4 Evaluation 397 2.5 Conclusions 400 3 Dealing with Content Spam and Plagiarized Content 401 3.1 Background 402 3.2 Types of Content Spamming 405 3.3 Content Spam Detection Methods 405 3.4 Malicious Mirroring and Near-Duplicates 408 3.5 Cloaking and Redirection 409 3.6 E-mail Spam Detection 413 3.7 Conclusions 413 4 Curbing Nepotistic Linking 415 4.1 Link-Based Ranking 416 4.2 Link Bombs 418 4.3 Link Farms 419 4.4 Link Farm Detection 421 4.5 Beyond Detection 424 4.6 Combining Links and Text 426 4.7 Conclusions 429 5 Propagating Trust and Distrust 430 5.1 Trust as a Directed Graph 430 5.2 Positive and Negative Trust 432 5.3 Propagating Trust: TrustRank and Variants 433 5.4 Propagating Distrust: BadRank and Variants 434 5.5 Considering In-Links as well as Out-Links 436 5.6 Considering Authorship as well as Contents 436 5.7 Propagating Trust in Other Settings 437 5.8 Utilizing Trust 438 5.9 Conclusions 438 6 Detecting Spam in Usage Data 439 6.1 Usage Analysis for Ranking 440 6.2 Spamming Usage Signals 441 6.3 Usage Analysis to Detect Spam 444 6.4 Conclusions 446 7 Fighting Spam in User-Generated Content 447 7.1 User-Generated Content Platforms 448 7.2 Splogs 449 7.3 Publicly-Writable Pages 451 7.4 Social Networks and Social Media Sites 455 7.5 Conclusions 459 8 Discussion 460 8.1 The (Ongoing) Struggle Between Search Engines and Spammers 460 8.2 Outlook 463 8.3 Research Resources 464 8.4 Conclusions 467 Acknowledgments 468 References 469 Foundations and TrendsR in Information Retrieval Vol. -
Liminality and Communitas in Social Media: the Case of Twitter Jana Herwig, M.A., [email protected] Dept
Liminality and Communitas in Social Media: The Case of Twitter Jana Herwig, M.A., [email protected] Dept. of Theatre, Film and Media Studies, University of Vienna 1. Introduction “What’s the most amazing thing you’ve ever found?” Mac (Peter Riegert) asks Ben, the beachcomber (Fulton Mackay), in the 1983 film Local Hero. ”Impossible to say,” Ben replies. “There’s something amazing every two or three weeks.” Substitute minutes for weeks, and you have Twitter. On a good day, something amazing washes up every two or three minutes. On a bad one, you irritably wonder why all these idiots are wasting your time with their stupid babble and wish they would go somewhere else. Then you remember: there’s a simple solution, and it’s to go offline. Never works. The second part of this quote has been altered: Instead of “Twitter”, the original text referred to “the Net“, and instead of suggesting to “go offline”, author Wendy M. Grossman in her 1997 (free and online) publication net.wars suggested to “unplug your modem”. Rereading net.wars, I noticed a striking similarity between Grossman’s description of the social experience of information sharing in the late Usenet era and the form of exchanges that can currently be observed on micro-blogging platform Twitter. Furthermore, many challenges such as Twitter Spam or ‘Gain more followers’ re-tweets (see section 5) that have emerged in the context of Twitter’s gradual ‘going mainstream’, commonly held to have begun in fall 2008, are reminiscent of the phenomenon of ‘Eternal September’ first witnessed on Usenet which Grossman reports. -
Usenet News HOWTO
Usenet News HOWTO Shuvam Misra (usenet at starcomsoftware dot com) Revision History Revision 2.1 2002−08−20 Revised by: sm New sections on Security and Software History, lots of other small additions and cleanup Revision 2.0 2002−07−30 Revised by: sm Rewritten by new authors at Starcom Software Revision 1.4 1995−11−29 Revised by: vs Original document; authored by Vince Skahan. Usenet News HOWTO Table of Contents 1. What is the Usenet?........................................................................................................................................1 1.1. Discussion groups.............................................................................................................................1 1.2. How it works, loosely speaking........................................................................................................1 1.3. About sizes, volumes, and so on.......................................................................................................2 2. Principles of Operation...................................................................................................................................4 2.1. Newsgroups and articles...................................................................................................................4 2.2. Of readers and servers.......................................................................................................................6 2.3. Newsfeeds.........................................................................................................................................6 -
A Survey on Spam Detection Techniques
ISSN (Online) : 2278-1021 ISSN (Print) : 2319-5940 International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 12, December 2014 A survey on spam detection techniques Anjali Sharma1, Manisha 2, Dr.Manisha 3 , Dr.Rekha Jain 4 1,2,3,4 Bansthali Vidyapith, Jaipur Campus, India Abstract: Today e-mails have become one of the most popular and economical forms of communication for Internet users. Thus due to its popularity, the e-mail is going to be misused. One such misuse is the posting of unwelcome, unwanted e-mails known as spam or junk e-mails [1]. E-mail spam has various consequences. It reduces productivity, takes extra space in mail boxes, extra time, extend software damaging viruses, and materials that contains potentially harmful information for Internet users, destroy stability of mail servers, and as a result users spend lots of time for sorting incoming mail and deleting unwanted correspondence. So there is a need of spam detection so that its consequences can be reduced [2]. In this paper, we present various spam detection techniques. Keywords: Spam, Spam detection techniques, Email classification I. INTRODUCTION Spam refers to unsolicited commercial email. Also known firewalls; therefore, it is an especially useful way for as junk mail, spam floods Internet users’ electronic spammers. It targets the users when they join any chat mailboxes. These junk mails can contain various types of room to find new friends. It spoils enjoy of people and messages such as pornography, commercial advertising, waste their time also. doubtful product, viruses or quasi legal services [3]. -
Before the FEDERAL COMMUNICATIONS COMMISSION Washington, D.C
Before the FEDERAL COMMUNICATIONS COMMISSION Washington, D.C. 20554 In the Matter of ) Petition of Twilio Inc. for an Expedited ) WT Docket No. 08-7 ) Declaratory Ruling Stating That Messaging Services Are Title II Services ) ) REPLY COMMENTS OF MOBILE FUTURE Mobile Future submits these reply comments opposing the Petition for Expedited Declaratory Ruling of Twilio Inc.1 in the above referenced docket, which seeks counterproductive common carrier regulation of some forms of mobile messaging, but not others. Mobile messaging has become an integral method of communication for American consumers. Consumers rely on messaging not only to stay in touch with relatives and friends, but also to conduct business and receive critical information, such as emergency and medical alerts. Messaging exists as we know it today in part because of the proactive efforts the industry has taken to ensure that the platform remains free from spam and harmful, unwanted communications such as phishing attempts or those that contain malware. Twilio’s Petition to treat messaging as a common carrier service would disrupt those spam filtering efforts, and could cause consumers to be inundated with unwanted communications. Twilio’s Petition similarly fails as a matter of law, and should therefore be rejected. 1 Petition of Twilio, Inc. for an Expedited Declaratory Ruling Stating That Messaging Services Are Title II Services (filed Aug. 28, 2015). I. CONSUMERS RELY ON AN UNPRECEDENTED NUMBER OF OPTIONS TO COMMUNICATE VIA MOBILE TEXT Mobile messaging has quickly become