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Big Data/IoT Security: Security Still an Afterthought by Most Big Data Products
Interest in Big Data analytics is fueling growth in the Internet of Things (IoT). A survey by Strategy Analytics found that 56 percent of IoT deployments survey cited Big Data analytics as a primary driver for their work.
Laura DiDio, Strategy Analytics director of IoT systems, said that “integration with legacy systems (41 per cent) and security are the biggest impediment to IoT deployments. Only 13 per cent of respondents said that IoT will strengthen security and 56 per cent said security is their top technical challenge. Another concern is that nearly half of businesses have not completed a detailed cost analysis, which is crucial.”
In 2014, Merv Adrian, Gartner analyst, said that “for me, the nearly non-existent response to the security issue is shocking. Can it be that people believe Hadoop is secure? Because it certainly is not. At every layer of the stack, vulnerabilities exist, and at the level of the data itself there numerous concerns.” A recent slide deck by Bolke de Bruin of ING bank describes steps towards securing Hadoop. Even now in 2016, Hadoop still is not focused on security and it remains a weak point. deBruin wrote that “Apache Ranger feels like slapped on security — just usable, but barely.”
Matt Assay wrote that “Hadoop is the godfather of big data infrastructure, with the most time and attention paid to it over the past few years. If it can’t muster sufficient security, despite petabytes of sensitive data pouring into its clusters, then we have a very serious security problem across the board.”
