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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 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 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		   
whitepaper Your Message on the Move: An Introduction to Mobile Marketing and Mobile Advertising2008-12-01
  Remember when e-mail marketing was all the rage? It was marketing at its best. It cost close to nothing to send out an email. Plus, companies were able to gauge results of a campaign quickly by measuring open rates, click-throughs, bounced messages, and, most importantly, conversions. It didn't take long for the SPAM'ers to figure that one out, however. Suddenly, the mailboxes were all inundated with Viagra, Asian girls, and mysterious personal letters from princes in Nigeria. In total, 88% of the e-mail that reaches your computer is SPAM (Secure Computing). So, the United States government made it illegal for businesses to send e-mail messages to citizens, apparently forgetting that "www" stood for "Worldwide" web.

Tags: Business Functions		   
whitepaper Thwarting E-mail Spam Laundering2008-12-01 Association for Computing Machinery
  Laundering e-mail spam through open-proxies or compromised PCs is a widely-used trick to conceal real spam sources and reduce spamming cost in the underground e-mail spam industry. Spammers have plagued the Internet by exploiting a large number of spam proxies. The facility of breaking spam laundering and deterring spamming activities close to their sources, which would greatly benefit not only e-mail users but also victim ISPs, is in great demand but still missing. This paper reveals one salient characteristic of proxy-based spamming activities, namely packet symmetry, by analyzing protocol semantics and timing causality. Based on the packet symmetry exhibited in spam laundering, the paper proposes a simple and effective technique, DBSpam, to online detect and break spam laundering activities inside a customer network.

Tags: Security Administration, Intrusion - Tampering		   
whitepaper Cisco 2008 Annual Security Report: Highlighting Global Security Threats and Trends2008-12-01 Cisco Systems
  There was an enormous amount of activity related to data and online security during the past year. Although no single, overwhelming attack - such as the spread of Melissa, Slammer, or Storm malware in previous years - turned into the signature security event of 2008, the need for increased security protection and continued vigilance remains. Threats that combine one or more online elements - the Web, spam, malware, and botnets - continue to grow in number and sophistication. For greater effectiveness, criminals are more and more often targeting specific individuals or groups and exploiting legitimate websites and other trusted entities and systems.

Tags: Intrusion - Tampering, Security Administration		   
whitepaper Learning to Detect Spam: Naive-Euclidean Approach2008-11-29 University of Aizu
  A method is proposed for learning to classify spam and non-spam emails. It combines the strategy of the Best Stepwise Feature Selection with a classifier of Euclidean nearest-neighbor. Each text email is first transformed into a vector of D-dimensional Euclidean space. Emails were divided into training and test sets in the manner of 10-fold cross-validation. Three experiments were performed, and their elapsed CPU times and accuracies reported. The proposed spam detection learner was found to be extremely fast in recognition and with good error rates. It could be used as a baseline learning agent, in terms of CPU time and accuracy, against which other learning agents can be measured.

Tags: Internet and Web, Intrusion - Tampering		   
whitepaper A Phased Framework for Countering VoIP SPAM2008-11-29 Korea Information Security Agency
  VoIP spam will become severe problem preventing from generalization of VoIP service. For the purpose of presenting multi-leveled anti-spit framework, they divided VoIP service domain into three independent domains as an outbound, an intermediary, and an inbound domain. The proposed framework enables administrator to establish anti-spit policies in each domain. In outbound domain, the framework focuses on detecting and preventing spammers. The focus in intermediary domain is to block forged SIP message using sender policy framework. The framework enables victims to directly report spam contents they received to administrator. They showed that the multi-leveled anti-spit framework is enough to mitigate spam attacks.

Tags: Intrusion - Tampering, Intrusion - Tampering		   
whitepaper Six Steps to Reduce Risk and Improve Control over Real-Time Communications2008-11-18 Quest Software
  Is instant messaging (IM) creating risk in your business? IM has become a key channel for business communications, but it's largely unmanaged. You can lose intellectual property and crucial data, plus face legal issues for inappropriate use. You must mitigate risks, maintain accountability and adopt tools to enforce messaging policies.

In this Quest white paper, you'll get best practices to control real-time communications. Learn six steps you can follow to reduce risk and improve control over your messaging environment while securing your network and decreasing costs enterprise-wide. Read the white paper today.

Tags: Network Technologies, Intrusion - Tampering, Internet and Web, Telecommunications		   
whitepaper Red Condor Message Assurance Gateway2008-11-17 Red Condor
  Red Condor's Message Assurance Gateway (MAG) appliances provide unsurpassed email security against internal and external threats such as spam, viruses, spyware, phishing schemes, identity theft, and other dangerous and offensive content. Continually monitored and managed by Red Condor's spam fighting experts, these zero touch appliances reduce the time spent on system management by the local IT administrator.

Tags: LAN - WAN, Intrusion - Tampering		   
whitepaper Spam Filtering With Several Novel Bayesian Classifiers2008-11-11 Institute of Electrical and Electronics Engineers
  This paper presents spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Locally Weighted learning with Naïve Bayes (LWNB). Other four traditional classifiers: Naïve Bayes, k Nearest Neighbor (kNN), Support Vector Machine (SVM), C4.5 are also performed for comparison. Four feature selection methods: Gain Ratio, Information Gain, Symmetrical Uncertainty and ReliefF, are used to select relevant words for spam filtering. Results of experiments on two corpora show the promising capabilities of bayesian classifiers for spam filtering, especial for that of AODE.

Tags: Intrusion - Tampering