Member Login

E-mail:    Password:  




 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 Red Condor's Hosted Service2009-02-01 Red Condor
  Red Condor's Hosted Service provides unsurpassed email security against internal and external threats such as spam, viruses, spyware, phishing schemes, identity theft, and other dangerous and offensive content. There's no software or hardware to install. The technical experts do all the work, and one gets the best email protection available. The Hosted Service is great for small organizations without an IT staff and also well-suited for larger enterprises and public agencies looking for a managed email solution.

Tags: Security Administration, Intrusion - Tampering		   
whitepaper Top 5 Tips for Email and Web Security in 20092009-02-06 MessageLabs, now part of Symantec
  The Internet and email bring many advantages, however the ever increasing number of Internet-based security threats such as viruses, spyware and spam pose significant danger to your organization. Failure to protect your business can result in costly downtime, lost productivity, financial losses and worse. Read this paper to learn the top 5 tips for protecting your business.

Tags: Intrusion - Tampering, Security Administration, Intrusion - Tampering, Intrusion - Tampering		   
whitepaper Best Practices in Using Reputation-Based Anti-Spam Services for Email Security2009-02-01 Cisco Systems
  One of the most efficient, least costly and, remarkably, most effective anti-spam techniques is IP reputation filtering. An incredibly inexpensive technique for the anti-spam gateway, IP reputation filtering can be used to identify 80 percent (or more) of spam without even looking at message content. IP reputation services have become a best practice for any anti-spam gateway. This white paper discusses the origins of IP reputation services; test results on Cisco IronPort's own reputation service, SenderBase; best practices in using reputation services; and the ROI of reputation services.

Tags: Intrusion - Tampering		   
whitepaper IBM Security Technology Outlook: An outlook on emerging security technology trends2009-01-21 IBM
  In the next 2-5 years, emerging technology and social trends will have far-reaching implications for enterprise secruity. This white paper will out-line the fundamental technology trends an organisations can expect to see during the next few years.

Tags: Security Administration, Security Administration, Intrusion - Tampering, Security Administration		   
whitepaper Enabling business growth with expert security solutions. Protecting your systems and your data2009-01-21 IBM
  Hackers, viruses, worms, spams, spy ware and inside attacks can stop organisations growing. This white paper deals with these vunerabilities and how to achieve cost effective soultions.

Tags: Intrusion - Tampering, Intrusion - Tampering, Intrusion - Tampering, Intrusion - Tampering		   
whitepaper Fighting Spam With the NeighborhoodWatch DHT2009-01-19 university of maryland
  This paper presents DHTBL, an anti-spam blacklist built upon a novel secure Distributed Hash Table (DHT). They show how DHTBL can be used to replace existing DNS-based Blacklists (DNSBLs) of IP addresses of mail relays that forward spam. Implementing a blacklist on a DHT improves resilience to DoS attacks and secures message delivery, when compared to DNSBLs. However, due to the sensitive nature of the blacklist, storing the data in a peer-to-peer DHT would invite attackers to infiltrate the system. Typical DHTs can withstand fail-stop failures, but malicious nodes may provide incorrect routing information, refuse to return published items, or simply ignore certain queries. The NeighborhoodWatch DHT is resilient to malicious nodes and maintains the O(logN) bounds on routing table size and expected lookup time.

Tags: Intrusion - Tampering		   
whitepaper Towards Automating Malware Classification and Characterization2009-01-01 Seewald Solutions
  Spam has become a problem of global impact. Most spam messages are currently sent out by captured machines organized in bot networks, which are infected with malicious software and are therefore under direct control of spammers. The connected explosion of automatically generated new malware variants has manual analysis at a great disadvantage, while classical automated analysis systems have problems keeping up with the diversity of new variants. Here, the paper proposes using machine learning approaches to learn global (i.e. malware intent) and local (i.e. specific functionality) malware properties based on behavioral traces of malware recorded in virtual environments, and tests them on a small corpus. Initial results are somewhat promising, so they also discuss areas for improvement as well as current and future challenges.

Tags: Intrusion - Tampering, Intrusion - Tampering		   
whitepaper Using Visual Features for Anti-Spam Filtering2009-01-01 University of California
  Unsolicited Commercial Email (UCE), also known as spam, has been a major problem on the Internet. In the past, researchers have addressed this problem as a text classification or categorization problem. However, as spammers' techniques continue to evolve and the genre of email content becomes more and more diverse, text-based anti-spam approaches alone are no longer sufficient. This paper proposes a novel anti-spam system which utilizes visual clues, in addition to text information in the email body, to determine whether a message is spam. They analyze a large collection of spam emails containing images and identify a number of useful visual features for this application. They then propose using one-class Support Vector Machines (SVM) as the underlying base classifier for anti-spam filtering.

Tags: Internet and Web, Intrusion - Tampering		   
whitepaper Spam Filtering Using a Markov Random Field Model With Variable Weighting Schemas2009-01-01 University of California
  This paper presents a Markov Random Field model based approach to filter spam. Their approach examines the importance of the neighborhood relationship (MRF cliques) among words in an email message for the purpose of spam classification. They propose and test several different theoretical bases for weighting schemes among corresponding neighborhood windows. Their results demonstrate that unexpected side effects depending on the neighborhood window size may have larger accuracy impact than the neighborhood relationship effects of the Markov Random Field.

Tags: Internet and Web, Intrusion - Tampering		   
whitepaper Stopping Spam by Extrusion Detection2009-01-01 University of Cambridge
  End users are often unaware that their systems have been compromised and are being used to send bulk unsolicited email (spam). This paper shows how automated processing of the email logs recorded on the "Smarthost" provided by an ISP for their customer's outgoing email can be used to detect this spam. The variability and obfuscation being employed by the spammers to avoid detection at the destination creates distinctive patterns that allow legitimate email traffic to be distinguished from spam at the source. Some relatively simple heuristics result in the detection of low numbers of "False positives" despite tuning to ensure few "False negatives".

Tags: Internet and Web, Intrusion - Tampering