Spammer

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Inside The Spam Cartel

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Author : Spammer-X Spammer-X
language : en
Publisher: Elsevier
Release Date : 2004-11-13

Inside The Spam Cartel written by Spammer-X Spammer-X and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-13 with Computers categories.

Authored by a former spammer, Inside the SPAM Cartel is a methodical, technically explicit expose of the inner workings of the SPAM economy. Readers will be shocked by the sophistication and sheer size of this underworld. From the author: "You may hate spam and think all spammers are evil, but listen to my story and see why I do this and more importantly, HOW." For most people, the term "SPAM" conjures up the image of hundreds of annoying, and at times offensive, e-mails flooding their inbox every week. But for a few, SPAM is a way of life that delivers an adrenaline rush fueled by cash, danger, retribution, porn and the avoidance of local, federal, and international law enforcement agencies. Inside the SPAM Cartel offer readers a never-before seen view inside this dark sub-economy. You'll meet the characters that control the flow of money as well as the hackers and programmers committed to keeping the enterprise up and running. You may disagree with their objectives, but you can't help but to marvel at their ingenuity and resourcefulness in defeating spam filters, avoiding being identified, and staying one step ahead of the law. Spam makes up now 64% of all email sent and it is said to be the most annoying part of being online. You'll meet the characters that control the flow of money as well as the hackers and programmers committed to keeping the enterprise up and running. Authored by a former spammer, this is a methodical, technically explicit expose of the innerworkings of the SPAM economy.

Spammer Detection On Online Social Networks

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Author : Amit Anand Amlesahwaram
language : en
Publisher:
Release Date : 2013

Spammer Detection On Online Social Networks written by Amit Anand Amlesahwaram and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.

Twitter with its rising popularity as a micro-blogging website has inevitably attracted attention of spammers. Spammers use myriad of techniques to lure victims into clicking malicious URLs. In this thesis, we present several novel features capable of distinguishing spam accounts from legitimate accounts in real-time. The features exploit the behavioral and content entropy, bait-techniques, community-orientation, and profile characteristics of spammers. We then use supervised learning algorithms to generate models using the proposed features and show that our tool, spAmbush, can detect spammers in real-time. Our analysis reveals detection of more than 90% of spammers with less than five tweets and more than half with only a single tweet. Our feature computation has low latency and resource requirement. Our results show a 96% detection rate with only 0.01% false positive rate. We further cluster the unknown spammers to identify and understand the prevalent spam campaigns on Twitter. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/148426

Mining Content And Relations For Social Spammer Detection

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Author : Xia Hu (Ph.D.)
language : en
Publisher:
Release Date : 2015

Mining Content And Relations For Social Spammer Detection written by Xia Hu (Ph.D.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computer networks categories.

Social networking services have emerged as an important platform for large-scale information sharing and communication. With the growing popularity of social media, spamming has become rampant in the platforms. Complex network interactions and evolving content present great challenges for social spammer detection. Different from some existing well-studied platforms, distinct characteristics of newly emerged social media data present new challenges for social spammer detection. First, texts in social media are short and potentially linked with each other via user connections. Second, it is observed that abundant contextual information may play an important role in distinguishing social spammers and normal users. Third, not only the content information but also the social connections in social media evolve very fast. Fourth, it is easy to amass vast quantities of unlabeled data in social media, but would be costly to obtain labels, which are essential for many supervised algorithms. To tackle those challenges raise in social media data, I focused on developing effective and efficient machine learning algorithms for social spammer detection.I provide a novel and systematic study of social spammer detection in the dissertation. By analyzing the properties of social network and content information, I propose a unified framework for social spammer detection by collectively using the two types of information in social media. Motivated by psychological findings in physical world, I investigate whether sentiment analysis can help spammer detection in online social media. In particular, I conduct an exploratory study to analyze the sentiment differences between spammers and normal users; and present a novel method to incorporate sentiment information into social spammer detection framework. Given the rapidly evolving nature, I propose a novel framework to efficiently reflect the effect of newly emerging social spammers. To tackle the problem of lack of labeling data in social media, I study how to incorporate network information into text content modeling, and design strategies to select the most representative and informative instances from social media for labeling. Motivated by publicly available label information from other media platforms, I propose to make use of knowledge learned from cross-media to help spammer detection on social media.

Mining Content And Relations For Social Spammer Detection

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Author : Xia Hu
language : en
Publisher:
Release Date : 2015

Mining Content And Relations For Social Spammer Detection written by Xia Hu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Machine learning categories.

Social networking services have emerged as an important platform for large-scale information sharing and communication. With the growing popularity of social media, spamming has become rampant in the platforms. Complex network interactions and evolving content present great challenges for social spammer detection. Different from some existing well-studied platforms, distinct characteristics of newly emerged social media data present new challenges for social spammer detection. First, texts in social media are short and potentially linked with each other via user connections. Second, it is observed that abundant contextual information may play an important role in distinguishing social spammers and normal users. Third, not only the content information but also the social connections in social media evolve very fast. Fourth, it is easy to amass vast quantities of unlabeled data in social media, but would be costly to obtain labels, which are essential for many supervised algorithms. To tackle those challenges raise in social media data, I focused on developing effective and efficient machine learning algorithms for social spammer detection. I provide a novel and systematic study of social spammer detection in the dissertation. By analyzing the properties of social network and content information, I propose a unified framework for social spammer detection by collectively using the two types of information in social media. Motivated by psychological findings in physical world, I investigate whether sentiment analysis can help spammer detection in online social media. In particular, I conduct an exploratory study to analyze the sentiment differences between spammers and normal users; and present a novel method to incorporate sentiment information into social spammer detection framework. Given the rapidly evolving nature, I propose a novel framework to efficiently reflect the effect of newly emerging social spammers. To tackle the problem of lack of labeling data in social media, I study how to incorporate network information into text content modeling, and design strategies to select the most representative and informative instances from social media for labeling. Motivated by publicly available label information from other media platforms, I propose to make use of knowledge learned from cross-media to help spammer detection on social media.

Spamming

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Author : W. J. Tauzin
language : en
Publisher: DIANE Publishing
Release Date : 2001-12

Spamming written by W. J. Tauzin and has been published by DIANE Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-12 with categories.

AOL estimates that 1/3 of the e-mail messages coming into its network from the Internet are spam. That is between 10-24 million spam e-mails per day just on AOL alone. Consumers find this practice annoying, inconvenient and expensive. Witnesses: John M. Brown, iHighway.net Inc.; Jerry Cerasale, Direct Marketing Assoc.; Ray Church-Everett, AllAdvantage.com; Eileen Harrington, Assoc. Dir. of Marketing Practices, Bureau of Consumer Protection, FTC; Charles H. Kennedy, Morrison and Forester LLP; Alan Charles Raul, Sidley and Austin; Michael Russina, Systems Operations, SBC Communications Inc.; and Rep. Gene Green, Gary Miller, and Heather Wilson.

Confessions Of A Spammer

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Author : Matthew Morris
language : en
Publisher:
Release Date : 2017-03-30

Confessions Of A Spammer written by Matthew Morris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-30 with categories.

My name is Matt Morris, and I am not proud to say that for 3 years I was a prolific internet spammer. I sure as heck wasn't the best, but I liked to think I was on my way to the big time.My "career" turned out to be a failure, and I quit internet business for 3 years. I am retelling that story here because of how rediculous it is, and because it is the beginning of a very educational series.By retelling my successes and failures, I will start to lay the foundation for anyone trying to start their own internet business. The first 1/3rd of the book is told in a story format, as I explain how I built my miniature spam empire, and why it all crumbled.I also encourage and explain how to avoid my trap, and build a more legitimate business compared to my first venture.After that, I will give you everything I wish I had known back then, most of which I learned after returning to the world of Internet Marketing last year. I can honesty say that while this book may not give you a turnkey way to make hundreds of dollars a day, it will provide the building blocks you need to actually understand how online business works.If you are willing to spend the time it takes to sit down and read these 200 pages, you will find yourself much better off than you would have been.In the vast world of Internet Business, it seems like the information you need to learn to succeed is impossible to truly get.One of the most crucial aspects is time management and productivity. The chapter "13 Helpful Productivity Hacks" is dedicated to the most helpful hints I have discovered to save you time.I also explain the most common traffic methods, business and e-commerce models, and other very crucial tips for starting on online business.The truth is, you can have all the secret methods and strategies you want for making cash online. This book is only part of a series, which will expand on this foundation.However, this information can help anyone no matter which route they decide to go down, and could be the education that gives you the leg up on your competition. Take the time to dive into my book, and you won't be disappointed.

Web Spamming A Threat

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Author : Dr. Manish Saxena
language : en
Publisher: Lulu.com
Release Date :

Web Spamming A Threat written by Dr. Manish Saxena and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

The End Of Spamming The Spammers With Dieter P Bieny

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Author : Peter Dabbene
language : en
Publisher: Lulu.com
Release Date : 2016-05-11

The End Of Spamming The Spammers With Dieter P Bieny written by Peter Dabbene and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-11 with Humor categories.

It's Dieter P. Bieny's final round of repartee with e-mail spammers, and he's saved the best for last! Dieter pulls out all the stops with ""The Name Game,"" Spammer Poetry, and the wonder that is... Rubby Love. Dieter bids adieu to his readers with a tender lollapalooza of secret codes, hashtags, and doctored images that will elicit tears of laughter from one eye, and tears of sadness from the other.

I M A Spammer

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Author : Tony Smith
language : en
Publisher:
Release Date : 2020-11-14

I M A Spammer written by Tony Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-14 with categories.

I'M A SPAMMER. Gag Gift. Blank lined Notebook. Blank lined Diary. Blank Lined Journal. Size 8.5" X 11". 126 Total Pages. Notebook for Men. Women. Family Members. Friends. Boss. Humorous Blank Lined Notebook. The World Was Built On Spam. Premium Cover Design

Spamming

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Author : Md. Monjurul Ahshan Rahat
language : en
Publisher: Zero Squad Limited
Release Date :

Spamming written by Md. Monjurul Ahshan Rahat and has been published by Zero Squad Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

A book regarding how I began to deliver my retribution on email con artists. They figure they may be unapproachable behind the obscurity of the web yet they are just human and I can deliver my retribution by doing the one thing that will get to any human. Disturb them.