Knowledge Cartography Security Graph - Umbrella Security Labs » » OpenDNS Security Graph Security today is largely predicated on researchers or vendors obtaining one of the following: a sample of an attack, a binary file, or an exploit. Although we are starting to see more effective behavior analysis methods, they are still reactive. Simply put, infections happen first and detection happens second. Additionally reputation scoring relies on expert systems that need tuning by both researchers and customers and have limited feature-sets that result in low coverage. Using Big Data and data mining methods to predict attacks before they happen, OpenDNS Security Labs built the OpenDNS Security Graph. Data Mining and algorithmic classification techniques such as machine learning, graph theory, anomaly detection, and temporal patterns are used in combination with contextual search, visualization, and scoring in order to predict the Internet origins of attacks. Researchers can also apply for access to the contextual search engine here.
VertigO - la revue électronique en sciences de l'environnement Global Network - Umbrella Security Labs » Big Data » Global Network OpenDNS Security Labs leverages the OpenDNS Global Network, the world’s largest security network, which features the industry’s best uptime, and geographically distributed data centers serving 50 million active users daily in more than 200 countries. Seattle, WA Palo Alto, CA Los Angeles, CA Dallas, TX Chicago, IL New York, NY Ashburn, VA Miami, FL London, UK Frankfurt, DE Amsterdam, NL Singapore, SG Hong Kong Prague, CZ Copenhagen, DK Paris, FR Berlin, DE Warsaw, PL Bucharest, RO The combination of our network security services and the OpenDNS Global Network provides the ultimate in coverage, efficacy, and performance, protecting users on any device at any time. Internet connectivity is optimized via transparent load-balanced Anycast routing — advertising identical service IP addresses everywhere — and co-locating with the most top Internet exchange points across three continents — shortening routes between OpenDNS and every network.
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Visualization is the future: 6 startups re-imagining how we consume data Although visualization is hardly the most technologically challenging part of the data-analysis puzzle, it’s arguably the most important. Storage, databases, query processing and algorithms are all extremely important — heck, visualization is next to nothing without them — but in a data-driven world where is obsessed with insights, they’re just the foundational layers. They are to big data what server and network configurations are to mobile-app development on platforms like Parse. If you’re going to find out new things from massive and highly complex data sets, or going to give new types of people the ability to analyze even simple data, the presentation of that data and the ability to create consumable presentations are critical. With that in mind, here are six startups I’ve seen trying to fundamentally change the way that data is visualized. Ayasdi The idea of network graphs isn’t new, but Ayasdi’s approach to it is. BeyondCORE ClearStory Datahero Platfora Zoomdata