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 TitleDate AddedCompany
whitepaper Emerging Trends in Fighting Spam26/03/08 Symantec
  Spam has been a serious problem for email administrators and users alike for more than five years, growing from one in six emails in 2002 to approximately three out of four emails today. This white paper focuses on the problems caused by image spam, as well as other spammer techniques for delivering content through existing spam-blocking defenses. The paper also discusses Symantec’s approach to solving the problem of image spam, botnets and other threats.  sponsored by
whitepaper Using Semantic Analysis to Classify Search Engine Spam2009-01-01 Stanford University
  Due to the similarities between spam and non-spam their original semantic analyzers are not an effective method to classify spam content. Since spam and non-spam documents are so similar, it is sometimes very difficult for a human to differentiate between the two. Because of these similarities, it is unlikely that any natural language analysis method will be successful in differentiating between spam and non-spam. However, using semantic analyzers to determine the usefulness of information on a webpage had much more promising results. Assuming the user is more interested in finding a quick answer to their query, a page with more textual information should have a higher rank. Their analyzers could help to determine this rank.

Tags: Security Administration, Intrusion - Tampering		   
whitepaper Throttling Outgoing SPAM for Webmail Services2009-01-01 University of Georgia
  Spam has become a serious problem of Internet, and the current defense is limited to the filters deployed at the recipient side. Little known research has been applied to reduce the volume of spam messages being generated. This paper presents a system that dynamically throttles emails based on the message content at the Email Server Provider (ESP) side. The goal of this system is to reduce the spam generated by the ESP while not introducing long delay to legitimate messages. This goal is achieved by applying spam filters during the email delivery time and by using filter scores to control the throttling effect. The throttling effect is implemented through a computational puzzle system.

Tags: Security Administration, Intrusion - Tampering		   
whitepaper Top Ten Tips to Improve Email Security Infrastructure2009-01-01 MessageLabs, now part of Symantec
  Every organization must maintain robust email security defenses, but it is getting harder as the spam volumes are increasing, malware is becoming stealthier, and developers of malicious content are developing new and more effective ways to circumvent email security defenses. New threat vectors, including Web 2.0 applications and social networking tools, are adding to this security challenge. Plus, the consequences of malware are getting worse: your sensitive corporate data could be lost and your business severely compromised. Download this white paper for ten tips you can apply to protect your business infrastructure today.

Tags: Security Administration, Security Administration, Internet and Web, Intrusion - Tampering		   
whitepaper Underground Economy Report2009-01-01 MessageLabs, now part of Symantec
  This survey of cybercrime activity in the underground economy includes a discussion of some of the more notable groups involved, as well as an examination of some of the major advertisers and the most popular goods and services available. It also includes an overview of the servers and channels that have been identified as hosts for trading, and a snapshot of software piracy using a file-sharing protocol in the public domain. This report is meant to be an analysis of certain aspects of the underground economy and is not meant to encompass a survey of Internet cybercrime as a whole. Download this report in its entirety to learn more.

Tags: Security Administration, Security Administration, Intrusion - Tampering, Security Administration		   
whitepaper Nortel on Nortel: An Anti-Spam Solution That Works2009-01-01 Nortel Networks
  On any given workday, Nortel IT blocks 97-99% of incoming spam emails, which amounts to between 300,000 to 1.1 million unwanted messages and includes approximately 55,000 messages with malicious attachments. The challenge was to identify and filter out spam from 400,000 to 1.4 million emails sent to employees on any given day and to ensure legitimate emails arrive at their intended destination. It deployed an in-house, tailored, multilayered solution based on spam expertise and utilized open-source tools.

Tags: Intrusion - Tampering		   
whitepaper An Analysis of Sendio's Anti-Spam Offering2009-01-01 Osterman Research
  The benefits should not be underestimated. In an environment of increasing financial pressures caused by a faltering economy, coupled with the continuing need to protect users and organizations from the growing onslaught of spam and increasingly sophisticated and virulent malware, decision makers must provide the highest level of threat protection they can possibly offer to their users, while at the same time maximizing the IT and user experience and reducing the total cost of ownership to the greatest extent possible. Based on research, Sendio's solutions offer organizations a clear path to accomplishing these objectives.

Tags: Intrusion - Tampering		   
whitepaper Bank of Sacramento: Communicating With Customers Securely, and Conveniently2008-12-22
  Bank of Sacramento provides customized financial services to businesses, professionals, and individuals who require a high degree of personalized attention and discretion. Increasingly, Bank of Sacramento's clients were interacting with employees via email. The company wanted to enable simple to use electronic communications for their customers while maintaining a high level of security. As a solution bank of Sacramento chose DataMotion's On-Premise Services, as DataMotion requires no special equipment or software to run and to use.

Tags: Intrusion - Tampering		   
whitepaper Filtering Spam by Using Factors Hyperbolic Trees2008-12-17 Institute of Electrical and Electronics Engineers
  Most of current anti-spam techniques, like the Bayesian anti-spam algorithm, primarily use lexical matching for filtering Unsolicited Bulk E-mails (UBE) and Unsolicited Commercial E-mails (UCE). However, precision of spam filtering is usually low when the lexical matching algorithms are used in real dynamic environments. For example, an E-mail of refrigerator advertisements is useful for most families, but it is useless for Eskimos. The lexical matching anti-spam algorithms cannot distinguish such processed E-mails that are junk to most people but are useful for others. The paper proposes Factors Hyperbolic Tree (FHT) based algorithm that, unlike the lexical matching algorithms, handles spam filtering in a dynamic environment by considering various relevant factors.

Tags: Internet and Web, Intrusion - Tampering		   
whitepaper Phishing: How to Keep Your Business from Biting2008-12-10 Cisco Systems
  Phishing, or fraudulent attempts to acquire passwords and financial information by masquerading as a trusted organization, is on the rise. According to the Anti-Phishing Working Group (APWG), the number of websites worldwide that infect PCs with password-stealing code more than tripled between 2007 and 2008.

Tags: Intrusion - Tampering, Security Administration, Intrusion - Tampering, Intrusion - Tampering		   
whitepaper Support Vector Machines and Random Forests Modeling for Spam Senders Behavior Analysis2008-12-03 Institute of Electrical and Electronics Engineers
  Unwanted and malicious messages dominate Email traffic and pose a great threat to the utility of email communications. Reputation systems have been getting momentum as the solution. Such systems extract Email sender's behavior data based on global sending distribution, analyze them and assign a value of trust to each IP address sending email messages. This paper builds two models for the classification purpose. One is based on Support Vector Machines (SVM) and the other is Random Forests (RF). Experimental results show that either classifier is effective. RF is slightly more accurate, but more expensive in terms of both time and space. SVM produces similar accuracy in a much faster manner if given modeling parameters. These classifiers can contribute to a reputation system as one source of analysis and increase its accuracy.

Tags: Internet and Web, Intrusion - Tampering