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  • Anti-Spam

    Anti-Spam

     

    MULTI LAYERED

     

    ANTI-SPAM

     

    The Network Box Anti-Spam system scans and blocks spam and other malicious emails from entering your network. With support for SMTP, POP3 and IMAP email protocols, the system provides 25 anti-spam engines, combining several different techniques, and is backed by a database of over 30 million signatures.

     

    In addition to spam detection, the system also comprehensively scan emails for malware, intrusion, and company policy conformance.

     

     

     

    Anti-Spam

    Technologies

     

    Co-operative Spam Checksums

    This technique involves breaking apart a message, and taking cryptographic checksums of each component of the message.

     

    Signatures and Spam Scoring

    Lists of signatures which match aspects of spam messages.

     

    White lists and Black lists

    A list of words / patterns which make a message Ham (good email) or Spam.

     

    Heuristics

    By examining behaviour, tests can be designed to determine if an e-mail is Spam.

     

    Real-Time IP Blacklists

    Lists of gateways known to be either known sources of spam, known open-relays (allowing third-party relaying of messages), or known dial-up networks.

     

    Real-Time URL Blacklists

    Lists of URLs used by Spammers.

     

    URL to IP Mapping and Blacklists

    Lists of IP addresses used by Spammers.

     

     

    URL Categorization

    Using the on-board database, URLs can be categorised.

     

    Domain Age

    If a domain is very young this can be an indicator of Spam.

     

    Bayesian Filtering

    Statistical (or Bayesian) filters can be used to automatically maintain word / pattern white lists and blacklists, together with statistical probabilities as to whether the given word / pattern makes the message Spam / Ham.

     

    Challenge / Response Systems

    Network Box can challenge previously unknown senders to check they are not Spammers.

     

    Digital Signatures

    This technique is normally used to indicate that an email message is Ham, and is not used to determine Spam.

     

    Optical Character Recognition (OCR)

    Spams sent as pictures can be interpreted as text and hence detected.

     

     

     

    Spam Traps

    Additionally, Network Box offers a Spam Trap facility which is integrated into the email scanner technology. The Spam Trap works by monitoring a configured list of email addresses. Messages arriving on those addresses are accepted and scanned, and automatically transmitted to the centralized Spam Trap facility. The emails are then blocked and classified both ‘spam’ and ‘trapped’.

     

    Once the spam emails arrive at the centralized Spam Trap facility, they are analysed using exactly the same anti-spam technology and signatures rules as on customer boxes. Any missed spams are forwarded on to the Security Response Outbreak Spam System for analysis and release of protection signatures. Any executable attachments are analyzed for malware and suspicious attachments are forwarded on to the Security Response Outbreak System for further analysis.

     

    Spam Traps

     

     

     

    Key Features

    Engines and Singnatures

    25 Engines

    30,800,000+ Spam Signatures*

    High detection accuracy

    99.7% Detection Accuracy*

    0.01% False-Positive Rate

    Extremely configurable

    Extremely configurable. Individual engines can be enabled or disabled, based on your requirements.

     

    *For more information and real-time statistics:

    Go to Security Response site



  • 墨西哥地震与球队进球民众跳跃啥关系?专家:无关 2019-03-23
  • 四件圆明园流散文物汉白玉螭头“回家” 2019-03-22
  • 中央环保督察回头看在龙江 动真格办实事我省群众点赞中央环保督察 2019-03-22
  • 我省将建教师个人师德报告制度 2019-03-20
  • 长治举行 “6.16”大型安全生产宣传咨询日活动 2019-03-17
  • 男子聚餐喝啤酒不喝白酒 被朋友认为不给面子殴打 2019-03-17