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  <Header>
    <ArticleTitle>FUTURE LANDSCAPE OF INTELIGENT DNS</ArticleTitle>
  </Header>
  <ArticleParameters>
    <ArticleReceivingDate>2016-06-13</ArticleReceivingDate>
    <ArticleRevisedDate>2016-06-20</ArticleRevisedDate>
    <ArticleAcceptanceDate>2016-07-15</ArticleAcceptanceDate>
    <ArticlePublishedOn>3/8/2026 6:24:15 AM</ArticlePublishedOn>
    <Journal>Advanced Engineering and Technology</Journal>
    <Volume>1</Volume>
    <Year>2016</Year>
    <ArticleType>Original research article</ArticleType>
    <FirstPage>1</FirstPage>
    <LastPage>3</LastPage>
    <CollectionYear>2016</CollectionYear>
    <PublisherId>Adv Engi Tech (2016 ). 1. 1-3</PublisherId>
    <ArticleDoi>http://dx.doi.org/10.21065/AdvEngTech.1.1</ArticleDoi>
    <Language>English</Language>
  </ArticleParameters>
  <Authors>
    <ArticleAuthors>Shahzad Mahmood Khan</ArticleAuthors>
  </Authors>
  <keywords>
    <Articlekeywords>DNS security, cyber security threats, data security.</Articlekeywords>
  </keywords>
  <Abstract>
    <ArticleAbstract>Sorry but your transactoin is denied You’re at Starbucks trying to make a purchase of your favourite hot-drink and your card is denied. How embarrassing. But wait - You’ve paid your balance every month without fail. What gives? What likely could have happened is that some intelligant software at your financial institution detected a purchase anomaly and took action to prevent the fraud. Today, these tools are incredibly powerful, scanning through terabytes of data to detect even slight deviations in behavioral models like a sequence of small charges at online vendors or sudden spending pattern on new product categories. These are common signs of fraud that can raise red flags.</ArticleAbstract>
  </Abstract>
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