Huliq News Tagged: "online fraud"

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Managing computer fraud

Shalini Kesar, a computer scientist at Southern Utah University in Cedar City, has devised an antifraud strategy for business. Writing in the International Journal of Business Information Systems from Inderscience Publishers, he suggests that managers should be made aware of security issues and send out cues to junior staff that they have this knowledge.

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Online fraud, electronic identity theft: guard against cyber crime with new course

If a malicious employee stole data from your organisation, would you have the skills to detect it? Could you gather evidence that would help the authorities prosecute a criminal case? Would you be able to produce the evidence to handle a disputed transaction, or a misbehaving employee? In this digital age we live in, computing security and business IT processes are under more scrutiny and pressure than ever before.

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HP to Help Vodafone Portugal Combat Fraud

HP today announced that Vodafone Portugal will deploy the HP Fraud Management System (HP FMS) to mitigate fraudulent activity on its mobile and fixed networks.

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Unexplored Areas Of Money Laundering

The international community has made the fight against money laundering and financing of terrorism a priority. To combat this menace, over 20 international authorities including FATF (Financing Action Task Force) have formulated recommendations, methodologies and typologies meant for financial service providers.

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Computer scientists shed light on Internet Scams

94 percent of spam-advertised online scams are hosted on individual Web servers, say scientists from University of California - San Diego.

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VeriSign Combats Online Fraud with New Digital Brand

Services Helps Companies Protect Revenue and Preserve Consumer Confidence by Proactively Responding to Phishing, Trademark Infringement and Counterfeiting Activities

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Carnegie Mellon researchers uncover online auction fraud

Data mining software fingers both perpetrators and accomplices. Computer scientists at Carnegie Mellon University are using data mining techniques to identify perpetrators of fraud among online auction users as well as their otherwise unknown accomplices.

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