The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Big data research brings in a lot of research interest and excitement from both industry and academia. While several research works have addressed the characteristics, technology and business application of big data, less literature has addressed the information security risk assessment of big data, to which this paper contributes to. This research work shows a big data information security risk spectrum comprised of 25 well-defined risk factors into seven constructs that are prioritized and ranked. The unique contribution of the paper is the mix of analytic hierarchy process, one of the most popular multi-criteria decision-making methods with the Delphi technique, another popular group decision-making technique. The results state that new-age technology risk factors like data brokering, global exposure to personal data, lack of governance-based security design are the top three risk factors which are considered from the standpoint of security, privacy and governance in big data management.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.