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ION Sri Lanka - Why Implement DNSSEC? Why Implement DNSSEC? Jitender Kumar (Afilias) DNSSEC helps prevent attackers from subverting and modifying DNS messages and sending users to wrong (and potentially malicious) sites. So what needs to be done for DNSSEC to be deployed on a large scale? We’ll discuss the business reasons for, and financial implications of, deploying DNSSEC, from staying ahead of the technological curve, to staying ahead of your competition, to keeping your customers satisfied and secure on the Internet. We’ll also examine some of the challenges operators have faced and the opportunities to address those challenges and move deployment forward.

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ION Toronto, 11 November 2013: The Internet Engineering Task Force (IETF) standardizes the protocols and services that vendors implement and network operators are supposed to deploy and use. We believe there is an opportunity to better identify, capture, and promote best current operational practices documents emerging from various regional network operators’ groups. We believe sharing these documents across the globe would benefit the wider Internet community and help more operators deploy new technologies like IPv6 and DNSSEC faster and easier. Many operators need down-to-earth information on how to fix their current issues and how to implement new technologies coming out of the IETF. How can the Internet Society help facilitate this work?

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Presented at the SIKS Smart Auditing Workshop, 25 Feb 2015. Governmental organizations responsible for keeping certain types of fraud under control, often use data-driven methods for both immediate detection of fraud, or for fraud risk analysis aimed at more effectively targeting inspections. A blind spot in such methods, is that the source data often represents a 'paper reality'. Fraudsters will attempt to disguise themselves in the data they supply painting a world in which they do nothing wrong. This blind spot can be counteracted by enriching the data with traces and indicators from more 'real-world' sources such as social media and internet. One of the crucial data management problems in accomplishing this enrichment is how to capture and handle data quality problems. The presentation will start with a real-world example, which is also used as starting point for a problem generalization in terms of information combination and enrichment (ICE). We then present the ICE technology as well as how data quality problems can be managed with probabilistic databases. In terms of the 4 V's of big data -- volume, velocity, variety and veracity -- this presentation focuses on the third and fourth V's: variety and veracity.

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