DOCSLIB.ORG

Transcript Day2.Pdf (2.96

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Transcript Day2.Pdf (2.96 OFFICIAL TRANSCRIPT PROCEEDING FEDERAL TRADE COMMISSION MATTER NO. P024407 TITLE SPAM PROJECT PLACE FEDERAL TRADE COMMISSION 600 PENNSYLVANIA AVENUE, N.W. WASHINGTON, D.C. 20580 DATE MAY 1, 2003 PAGES 1 THROUGH 324 FTC SPAM FORUM -- DAY TWO SECOND VERSION FOR THE RECORD, INC. 603 POST OFFICE ROAD, SUITE 309 WALDORF, MARYLAND 20602 (301)870-8025 1 1 FEDERAL TRADE COMMISSION 2 I N D E X 3 4 Economics of Spam Page 5 5 Blacklists Page 111 6 Best Practices Page 183 7 Wireless Spam Page 257 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 For The Record, Inc. Waldorf, Maryland (301)870-8025 2 1 P R O C E E D I N G S 2 - - - - - 3 MR. HUSEMAN: We want to go ahead and get 4 started this morning. Thank you all for arriving back 5 for day two. 6 Before we begin, I just want to make a few 7 housekeeping announcements. Remember, if you have a cell 8 phone or other device that beeps, make sure to turn it 9 off, please. 10 Remember that the exits are directly behind you 11 and then out towards the front where you came in. 12 Again, we would like to thank the companies who 13 have provided us refreshments this morning. Those 14 include AOL, AT&T Wireless, EarthLink, ePrivacy Group, 15 Microsoft, SpamCon Foundation, Words to the Wise and 16 Yahoo!. 17 Before we begin day two, I would like to 18 introduce Commissioner Mozelle Thompson, who will start 19 off the day by giving us introductory remarks. 20 Commissioner Thompson became a Commissioner at the FTC in 21 1997. He's Chairman of the OECD's Committee on Consumer 22 Policy, where he leads the United States delegation, and 23 during his time at the Commission, he has been very 24 involved in technology, privacy and other information 25 practices, including the issue of Spam, and he's done a For The Record, Inc. Waldorf, Maryland (301)870-8025 3 1 great deal of important work in those areas. 2 And, just specially, we would also like to 3 thank him from the perspective of putting on this forum. 4 He has provided us with a great deal of valuable advice 5 and input in making this event possible. So, we would 6 like to thank him in that regard as well. 7 I now introduce Commissioner Mozelle Thompson. 8 (Applause.) 9 COMMISSIONER THOMPSON: Good morning. Welcome 10 all of you, and for those of you from out of town, 11 welcome to allergy season in Washington. 12 I wanted to tell you how happy I am to see you 13 all here at the second day of the FTC's Spam Workshop. 14 As you know, my name is Mozelle Thompson, and I'm one of 15 the Commissioners here, and I hope that you -- first of 16 all, I think you should give yourselves a round of 17 applause, because -- for just being here, attending and 18 participating, because I think that in the future we'll 19 look back on these three days as one of the most 20 significant events, international events that deals with 21 the subject of Spam. So, I want to thank you all for 22 being here. 23 (Applause.) 24 COMMISSIONER THOMPSON: You know, one of the 25 principal purposes of having this workshop, in case it For The Record, Inc. Waldorf, Maryland (301)870-8025 4 1 wasn't that clear, is to provide the Commission with the 2 best and latest information about Spam and the problems 3 of unsolicited e-mail and that I hope all of you will 4 learn as much as I expect to learn from the events of 5 these three days. 6 Now, yesterday we attempted to define what Spam 7 is, other than the fact that it's a very popular meat out 8 in Hawaii, and I think that that definition was a diverse 9 definition that we heard yesterday when we start to 10 consider what types of communications we should put under 11 the title "Spam" and what benefits and problems they pose 12 for consumers, businesses and governments. We also heard 13 from experts about the mechanics of how Spam works. 14 Now, today we'll continue our work by 15 discussing the economics of Spam. I hope after this 16 morning, we will all become more knowledgeable about the 17 real costs of unsolicited commercial e-mail. And these 18 costs go well beyond the simple cost of sending a 19 message. They also include the costs of individuals 20 reading and disposing of unwanted e-mail and the cost of 21 carrying Spam on a network as well as potential lost 22 opportunities that would -- of bandwidth that could be 23 provided for perhaps more useful and important purposes. 24 We'll also talk about the market and 25 competitive forces that can affect the value we ascribe For The Record, Inc. Waldorf, Maryland (301)870-8025 5 1 to Spam. In thinking about all these costs, however, I 2 ask that you also consider the larger costs to the 3 marketplace to the extent that unsolicited e-mail can 4 undermine consumer confidence and feed public distrust of 5 the internet. 6 Finally, we will finish today's sessions by 7 looking forward at best practices and the next frontier, 8 or what many would say is already the current frontier, 9 the wireless marketplace. 10 So, to assist in our discussion, I'm reminded 11 that this might be an illustration of the old adage what 12 the problem is depends on where you sit, and I'm sure 13 that our panelists today will give us a lot of insight as 14 to how we should think about Spam. 15 So, thank you very much for being here, and 16 without further delay, we have our panel. 17 (Applause.) 18 MR. FRANCOIS: Thank you, Commissioner 19 Thompson, for not only your remarks but for your efforts 20 in the FTC's work on Spam. 21 My name is Renard Francois. I'm a staff 22 attorney with the Division of Marketing Practices at the 23 Federal Trade Commission and also pitching in a little 24 bit with the Spam Forum. So, we have a distinguished 25 panel here, and as Commissioner Thompson said, we are For The Record, Inc. Waldorf, Maryland (301)870-8025 6 1 going to talk about the costs and benefits of Spam, and 2 part of this panel, what we're going to do is talk about 3 dollars, but we're also going to expand the term of 4 "cost" to include the potential impact on e-mail 5 marketing and the potential impact on e-mail as a means 6 of communication, but we'll also include in the 7 definition of "cost" opportunity costs and loss to a 8 business' reputation that unsolicited e-mail may have. 9 One of the things that we recognized yesterday 10 was -- we focused on Spam and a lot of it on falsity and 11 people who intentionally manipulate systems to try and 12 maintain an illusion of anonymity, try and maintain 13 anonymity by falsifying where the e-mail is coming from, 14 but one of the things that we struggled with in our 15 conference call and the issues that we'd like to at least 16 be aware of throughout the panel is that it's not just 17 deceptive Spam that affects many of these panelists, and 18 it's not just deceptive Spam that affects e-mail as in 19 e-mail marketing and as a means of communication, but it 20 is the volume as well. 21 So, to some degree, I don't know if we are 22 going to get into a lot of distinctions between 23 legitimate bulk marketers and bulk marketers who engage 24 in deceptions and falsity. 25 One of the things that we want to start out For The Record, Inc. Waldorf, Maryland (301)870-8025 7 1 with that I've sent all the panelists is Mail Shell, a 2 company who was kind enough to forward us a study that 3 they had done, and copies of the study are outside in the 4 back on the table, and I think there's also a 5 representative here who may answer any questions that you 6 may have about it, but they did a Spam Catcher Attitude 7 Survey, where they surveyed 9,000 -- approximately 9,321 8 individuals about their attitudes towards Spam, and out 9 of the 1,118 responses that they received, I think one of 10 the things that we'll start the conversation with is, 11 that leapt out at me, is that 8 percent of people that 12 use disposable e-mail addresses, which we presume are 13 somewhat tech-savvy and maybe not the everyday, average 14 consumer, but approximately 8 percent of them have 15 indicated in the study that they have made purchases 16 based on the Spam that they receive. And I just want to 17 throw that out to some of the panelists to see what their 18 responses and reactions are and probably direct it 19 specifically toward Mr. DiGuido, CEO of Bigfoot 20 Interactive, and Ms. Laura Betterly as well, and then 21 probably Laura Atkins. 22 MR.
Load more

Recommended publications
  • Busting Blocks: Revisiting 47 U.S.C. §230 to Address the Lack of Effective Legal Recourse for Wrongful Inclusion in Spam Filters
    Digital Commons @ Touro Law Center Scholarly Works Faculty Scholarship 2011 Busting Blocks: Revisiting 47 U.S.C. §230 to Address the Lack of Effective Legal Recourse for Wrongful Inclusion in Spam Filters Jonathan I. Ezor Touro Law Center, [email protected] Follow this and additional works at: https://digitalcommons.tourolaw.edu/scholarlyworks Part of the Commercial Law Commons, Communications Law Commons, and the Science and Technology Law Commons Recommended Citation Jonathan I. Ezor, Busting Blocks: Revisiting 47 U.S.C. § 230 to Address the Lack of Effective Legal Recourse for Wrongful Inclusion in Spam Filters, XVII Rich. J.L. & Tech. 7 (2011), http://jolt.richmond.edu/ v17i2/article7.pdf. This Article is brought to you for free and open access by the Faculty Scholarship at Digital Commons @ Touro Law Center. It has been accepted for inclusion in Scholarly Works by an authorized administrator of Digital Commons @ Touro Law Center. For more information, please contact [email protected]. Richmond Journal of Law and Technology Vol. XVII, Issue 2 BUSTING BLOCKS: REVISITING 47 U.S.C. § 230 TO ADDRESS THE LACK OF EFFECTIVE LEGAL RECOURSE FOR WRONGFUL INCLUSION IN SPAM FILTERS By Jonathan I. Ezor∗ Cite as: Jonathan I. Ezor, Busting Blocks: Revisiting 47 U.S.C. § 230 to Address the Lack of Effective Legal Recourse for Wrongful Inclusion in Spam Filters, XVII Rich. J.L. & Tech. 7 (2011), http://jolt.richmond.edu/v17i2/article7.pdf. I. INTRODUCTION: E-MAIL, BLOCK LISTS, AND THE LAW [1] Consider a company that uses e-mail to conduct a majority of its business, including customer and vendor communication, marketing, and filing official documents.
    [Show full text]
  • Characterizing Spam Traffic and Spammers
    2007 International Conference on Convergence Information Technology Characterizing Spam traffic and Spammers Cynthia Dhinakaran and Jae Kwang Lee , Department of Computer Engineering Hannam University, South Korea Dhinaharan Nagamalai Wireilla Net Solutions Inc, Chennai, India, Abstract upraise of Asian power houses like China and India, the number of email users have increased tremendously There is a tremendous increase in spam traffic [15]. These days spam has become a serious problem these days [2]. Spam messages muddle up users inbox, to the Internet Community [8]. Spam is defined as consume network resources, and build up DDoS unsolicited, unwanted mail that endangers the very attacks, spread worms and viruses. Our goal is to existence of the e-mail system with massive and present a definite figure about the characteristics of uncontrollable amounts of message [4]. Spam brings spam and spammers. Since spammers change their worms, viruses and unwanted data to the user’s mode of operation to counter anti spam technology, mailbox. Spammers are different from hackers. continues evaluation of the characteristics of spam and Spammers are well organized business people or spammers technology has become mandatory. These organizations that want to make money. DDoS attacks, evaluations help us to enhance the existing technology spy ware installations, worms are not negligible to combat spam effectively. We collected 400 thousand portion of spam traffic. According to research [5] most spam mails from a spam trap set up in a corporate spam originates from USA, South Korea, and China mail server for a period of 14 months form January respectively. Nearly 80% of all spam are received from 2006 to February 2007.
    [Show full text]
  • Index Images Download 2006 News Crack Serial Warez Full 12 Contact
    index images download 2006 news crack serial warez full 12 contact about search spacer privacy 11 logo blog new 10 cgi-bin faq rss home img default 2005 products sitemap archives 1 09 links 01 08 06 2 07 login articles support 05 keygen article 04 03 help events archive 02 register en forum software downloads 3 security 13 category 4 content 14 main 15 press media templates services icons resources info profile 16 2004 18 docs contactus files features html 20 21 5 22 page 6 misc 19 partners 24 terms 2007 23 17 i 27 top 26 9 legal 30 banners xml 29 28 7 tools projects 25 0 user feed themes linux forums jobs business 8 video email books banner reviews view graphics research feedback pdf print ads modules 2003 company blank pub games copyright common site comments people aboutus product sports logos buttons english story image uploads 31 subscribe blogs atom gallery newsletter stats careers music pages publications technology calendar stories photos papers community data history arrow submit www s web library wiki header education go internet b in advertise spam a nav mail users Images members topics disclaimer store clear feeds c awards 2002 Default general pics dir signup solutions map News public doc de weblog index2 shop contacts fr homepage travel button pixel list viewtopic documents overview tips adclick contact_us movies wp-content catalog us p staff hardware wireless global screenshots apps online version directory mobile other advertising tech welcome admin t policy faqs link 2001 training releases space member static join health
    [Show full text]
  • WHITE PAPER Email Deliverability Review
    WHITE PAPER Email DELIVeraBility REView dmawe are the White Paper Email Deliverability Review Published by Deliverability Hub of the Email Marketing Council Sponsored by 1 COPYRIGHT: THE DIRECT MARKETING ASSOCIATION (UK) LTD 2012 WHITE PAPER Email DELIVeraBility REView Contents About this document ...............................................................................................................................3 About the authors ...................................................................................................................................4 Sponsor’s perspective .............................................................................................................................5 Executive summary .................................................................................................................................6 1. Major factors that impact on deliverability ..............................................................................................7 1.1 Sender reputation .............................................................................................................................7 1.2 Spam filtering ...................................................................................................................................7 1.3 Blacklist operators ............................................................................................................................8 1.4 Smart Inboxes ..................................................................................................................................9
    [Show full text]
  • Mastering Spam: a Multifaceted Approach with the Spamato Spam Filter System
    Research Collection Doctoral Thesis Mastering Spam: A Multifaceted Approach with the Spamato Spam Filter System Author(s): Albrecht, Keno Publication Date: 2006 Permanent Link: https://doi.org/10.3929/ethz-a-005339283 Rights / License: In Copyright - Non-Commercial Use Permitted This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH Library DISS. ETH NO. 16839 Mastering Spam A Multifaceted Approach with the Spamato Spam Filter System A dissertation submitted to the SWISS FEDERAL INSTITUTE OF TECHNOLOGY ZURICH for the degree of Doctor of Sciences presented by KENO ALBRECHT Dipl. Inf. born June 4, 1977 citizen of Germany accepted on the recommendation of Prof. Dr. Roger Wattenhofer, examiner Prof. Dr. Gordon V. Cormack, co-examiner Prof. Dr. Christof Fetzer, co-examiner 2006 Abstract Email is undoubtedly one of the most important applications used to com- municate over the Internet. Unfortunately, the email service lacks a crucial security mechanism: It is possible to send emails to arbitrary people with- out revealing one’s own identity. Additionally, sending millions of emails costs virtually nothing. Hence over the past years, these characteristics have facilitated and even boosted the formation of a new business branch that advertises products and services via unsolicited bulk emails, better known as spam. Nowadays, spam makes up more than 50% of all emails and thus has become a major vexation of the Internet experience. Although this problem has been dealt with for a long time, only little success (measured on a global scale) has been achieved so far.
    [Show full text]
  • 84. Blog Spam Detection Using Intelligent Bayesian Approach
    International Journal of Engineering Research and General Science Volume 2, Issue 5, August-September, 2014 ISSN 2091-2730 Blog-Spam Detection Using intelligent Bayesian Approach - Krushna Pandit, Savyasaachi Pandit Assistant Professor, GCET, VVNagar, E-mail- [email protected] , M - 9426759947 Abstract Blog-spam is one of the major problems of the Internet nowadays. Since the history of the internet the spam are considered a huge threat to the security and reliability of web content. The spam is the unsolicited messages sent for the fulfillment of the sender’s purpose and to harm the privacy of user, site owner and/or to steal available resource over the internet (may be or may not be allocated to).For dealing with spam there are so many methodologies available. Nowadays the blog spamming is a rising threat to safety, reliability, & purity of the published internet content. Since the search engines are using certain specific algorithms for creating the searching page-index/rank for the websites (i.e. google-analytics), it has attracted so many attention to spam the SMS(Social Media Sites) for gaining rank in order to increase the company’s popularity. The available solutions to malicious content detection are quite a more to be used very frequently in order to fulfill the requirement of analyzing all the web content in certain time with least possible ―false positives‖. For this purpose a site level algorithm is needed so that it can be easy, cheap & understandable (for site modifiers) to filter and monitor the content being published. Now for that we use a ―Bayes Theorem‖ of the ―Statistical approach‖.
    [Show full text]
  • Fighting Spam: Tools, Tips, and Techniques
    Fighting Spam: Tools, Tips, and Techniques Brian Sebby Argonne National Laboratory [email protected] National Laboratories Information Technology Summit ‘08 May 11, 2008 1 Part I: Introduction 2 2 Argonne National Laboratory IT Environment Challenges Diverse population: – 2,500 employees – 10,000+ visitors annually – Off-site computer users – Foreign national employees, users, and collaborators Diverse funding: – Not every computer is a DOE computer. – IT is funded in many ways. Every program is working in an increasingly distributed computing model. Our goal: a consistent and comprehensively secure environment that supports the diversity of IT and requirements. Argonne is managed by the UChicago Argonne LLC for the Department of Energy. 3 3 Emphasis on the Synergies of Multi-Program Science, Engineering & Applications Accelerator Fundamental Research Physics Computational Infrastructure Science Analysis Materials Characterization Catalysis Science Transportation Science User Facilities Nuclear Fuel Cycle Structural .. and much more. Biology 4 4 My Background I joined Argonne in 2000. In 2002, Argonne moved to a mail gateway setup with SpamAssassin. I took over the gateway in 2003. 2004: First appliance evaluation 2005: Greylisting added to our gateway 2006: SURBL, SARE rules added to SpamAssassin 2006: SPF enabled, disabled 2007: Second appliance evaluation, moved gateway services to appliance Today: Manage our appliances, and internal mail servers running Postfix 5 5 Argonne’s Typical Mail Flows On an average day, the primary inbound mail gateway at Argonne receives: – ~ 250,000 messages – ~ 200,000 (80%) are stopped by our appliance’s Reputation Filters – ~ 3,000 (1.2%) are stopped as invalid addresses – ~ 10,000 (4%) are flagged as spam – ~ 37,000 (15%) are clean messages Our backup inbound mail gateway receives: – ~ 110,000 messages – ~ 108,000 (98%) are stopped by our appliance’s Reputation Filters – ~ 200 (0%) are stopped as invalid addresses – ~ 1,500 (2%) are flagged as spam – ~ 500 (0%) are clean messages 6 6 This Talk is… NOT a tutorial.
    [Show full text]
  • Draft NIST Special Publication 800-177, Trustworthy Email
    This (First) DRAFT of Special Publication 800-177 document has been superceded by the following draft publication: The first draft has been attached for HISTORICAL PURPOSE – PLEASE refer to the Second Draft (see details below): Publication Number: Second Draft Special Publication 800-177 Title: Trustworthy Email Publication Date: March 2016 Second Draft Publication: http://csrc.nist.gov/publications/PubsDrafts.html#800-177 Information on other publications: http://csrc.nist.gov/publications/ The following information was posted with the attached DRAFT document: NIST requests comments on the second draft of Special Publication (SP) 800-177, Trustworthy Email. This draft is a complimentary guide to NIST SP 800-45 Guidelines on Electronic Mail Security and covers protocol security technologies to secure email transactions. This draft guide includes recommendations for the deployment of domain-based authentication protocols for email as well as end-to-end cryptographic protection for email contents. Technologies recommended in support of core Simple Mail Transfer Protocol (SMTP) and the Domain Name System (DNS) include mechanisms for authenticating a sending domain (Sender Policy Framework (SPF), Domain Keys Identified Mail (DKIM) and Domain based Message Authentication, Reporting and Conformance (DMARC). Email content security is facilitated through encryption and authentication of message content using S/MIME and/or Transport Layer Security (TLS) with SMTP. This guide is written for the federal agency email administrator, information
    [Show full text]
  • Email Deliverability: the Ultimate Guide
    1 Email Deliverability: the Ultimate Guide Why does email deliverability matter? According to the "2015 Email Data Quality Trends Report" by Experian, a majority (73%) of companies experienced email deliverability issues in the past 12 months. Return Path has reported that over 20% of legitimate email are missing. Undoubtedly, marketers have problems with deliverability, and that negatively affects their business. "The most common consequences of poor email deliverability are the inability to communicate with subscribers (41%), poor customer service (24%), unnecessary costs (22%), and lost revenue (15%)" - the Experian's "2015 Email Data Quality Trends Report." How to deliver emails to the recipient's Inbox? This simplest question might have the most complicated answer. As an email marketer, you have to make people engage with your emails in a positive way: open, click, forward or reply. Recipient engagement is a powerful factor that mailbox providers rely on when filtering inbound messages. Keeping recipients engaged is not just about sending beautiful, optimized emails. It's also about positioning yourself as a reputable sender, avoiding spam filters and getting to the user's Inbox. That's where email deliverability comes in. 2 In this article, we'll touch the most important factors that determine email deliverability and should be on the mind of every marketer: 1. Permission-Based Marketing: - Single Opt-In vs. Confirmed Opt-In - Pre-checked Boxes or Passive Opt-in - Subscriber's Expectations 2. Sender Reputation: - Branding - Spam Traps - Bounces and Complaints - Monitoring Tools 3. Sending Infrastructure: - Shared IP vs. Dedicated IP - Blacklists - Email Authentication - Feedback Loops 3 1.
    [Show full text]
  • QUICK LOOK • Blacklists, Also Called 'Blocklists', Are Lists of Mail Servers Or Domains That Have Been Identified by a Blacklist Provider As Being a Source of Spam
    QUICK LOOK • Blacklists, also called 'blocklists', are lists of mail servers or domains that have been identified by a blacklist provider as being a source of spam. • There are dozens of blacklists across the Internet; however, only a handful are considered reliable enough for widespread usage. • The criteria for appearing on blacklists are different for each list, and may be factbased or completely arbitrary, making it sometimes challenging to get removed from blacklists. • Given the unique nature of each blacklist, appearance on a blacklist may or may not present meaningful deliverability challenges. OVERVIEW A blacklist is a list of mail servers (or domains) that have been identified by an individual or group as senders of spam. Some lists are compiled automatically, while others are manually compiled by individuals. Blacklist services range from respected and formalized groups to one-man operations, sometimes self-appointed vigilantes of the email world. Both methods can be extremely arbitrary and often result in "false positives" (e.g. email desired by the recipient that does not get delivered due to filtering or blocking). There is no single reason a sender may get listed on a blacklist. In general, blacklisting services target companies perceived to be sending spam. Typically, this is because the group or individual maintaining the blacklist has received unsolicited email from the listed server. Some public groups, such as SpamCop, base their listings on the number of complaints issued from consumers. Even one complaint can cause a block to be issued. There also is no one single source for blacklists, making it difficult if not impossible to identify every blacklist currently active.
    [Show full text]
  • Information Security
    A SA Research Information Security J. Carlton Collins ASA Research - Atlanta, Georgia 770.734.0950 [email protected] Information Security Table of Contents Chapter Chapter Title & Page Count Page Number 1 Locks ‐ (2 Pages) 6 2 Government Compliance ‐ (3 Pages) 8 3 Securing Hard Drives and Laptop Computers ‐ (16 Pages) 11 4 Encryption ‐ (12 Pages) 27 5 Strong Passwords ‐ (7 Pages) 39 6 Windows ‐ Files and Folders ‐ (8 Pages) 46 7 System Restore ‐ (3 Pages) 54 8 Firewalls ‐ (7 Pages) 57 9 Wireless Security ‐ (8 Pages) 64 10 Checking the Security of your PC ‐ (4 Pages) 72 11 Online Security Tests ‐ (3 Pages) 76 12 Windows ‐ User Accounts & Groups ‐ (6 Pages) 79 13 Windows ‐ Screen Savers ‐ (4 Pages) 85 14 Pornography ‐ (4 Pages) 89 15 Sample Contracts ‐ (9 Pages) 93 16 Computer Bread Crumbs ‐ (6 Pages) 102 17 Computer Disposal ‐ (5 Pages) 108 18 Backup Strategy ‐ (14 Pages) 113 19 Viruses ‐ (6 Pages) 127 20 Phishing ‐ (7 Pages) 133 21 Spy Stuff ‐ (14 Pages) 140 22 Privacy Test ‐ (6 Pages) 154 23 Fake IDs ‐ (7 Pages) 160 24 National ID Cards ‐ (4 Pages) 167 25 Fake Social Security Cards ‐ (5 Pages) 171 26 Identity Theft ‐ (14 Pages) 176 27 Employee Theft ‐ (6 Pages) 190 28 Background Checks ‐ (5 Pages) 196 29 Bonding Employees ‐ (3 Pages) 201 30 Asterisk Key ‐ (2 Pages) 204 31 Encryption Analyzer & Passware ‐ (3 Pages) 206 32 Securing Desktop Computers ‐ (3 Pages) 209 33 Windows ‐ Windows Services ‐ (6 Pages) 212 34 Risk of Fire ‐ (3 Pages) 218 35 Credit Card Fraud ‐ (11 Pages) 221 36 Counterfeit Money ‐ (9 Pages) 232 37 Cracking and
    [Show full text]
  • Diplomarbeit Penetrating Bayesian Spam Filters Using Redundancy in Natural Language
    Die approbierte Originalversion dieser Diplom-/Masterarbeit ist an der Hauptbibliothek der Technischen Universität Wien aufgestellt (http://www.ub.tuwien.ac.at). The approved original version of this diploma or master thesis is available at the main library of the Vienna University of Technology (http://www.ub.tuwien.ac.at/englweb/). Diplomarbeit Penetrating Bayesian Spam Filters Using Redundancy in Natural Language Ausgefuhrt¨ am Institut fur¨ Rechnergestutzte¨ Automation Arbeitsgruppe Automatisierungssysteme der Technischen Universitat¨ Wien unter der Anleitung von Ao.Univ.Prof. Dipl.-Ing. Dr.techn. Wolfgang Kastner und Privatdozent Dipl.-Ing. Dr.techn. Christopher Krugel¨ und Privatdozent Dipl.-Ing. Dr.techn. Engin Kirda als verantwortlich mitwirkenden Universitatsassistenten¨ durch Gunther¨ Bayler Am Wiesenweg 17 2403 Scharndorf 16. Oktober 2007 ii Abstract Today’s attacks against Bayesian spam filters attempt to keep the content of spam emails visible to humans, but obscured to filters, or they attempt to fool the filters with additional good words appended to the spam. Another conceivable approach is to substitute suspicious words in spam emails with innocent words to make them appear as legitimate emails (i.e., ham emails). A precondition for the success of such an attack is that Bayesian spam filters of different users assign similar spam probabilities to similar tokens. In this thesis, it is examined whether this precondition is met; afterwards, the effectivity of a substitution attack is measured by creating a test set of spam messages
    [Show full text]