6533b872fe1ef96bd12d2f12
RESEARCH PRODUCT
A roadmap towards improving managed security services from a privacy perspective
Nils Ulltveit-moesubject
VDP::Mathematics and natural science: 400::Information and communication science: 420::Security and vulnerability: 424Information privacymanaged security servicesPrivacy by Designbusiness.industryComputer scienceDigital forensicsBig dataethical awarenesssecurityIntrusion detection systemLibrary and Information SciencesprivacyComputer securitycomputer.software_genreComputer Science ApplicationsOutsourcingInformation sensitivityintrusion detection and prevention systemsoutsourcingbusinesscomputerRegister of data controllersdescription
Published version of an article in the journal: Ethics and Information Technology. Also available from the publisher at: http://dx.doi.org/10.1007/s10676-014-9348-3 This paper proposes a roadmap for how privacy leakages from outsourced managed security services using intrusion detection systems can be controlled. The paper first analyses the risk of leaking private or confidential information from signature-based intrusion detection systems. It then discusses how the situation can be improved by developing adequate privacy enforcement methods and privacy leakage metrics in order to control and reduce the leakage of private and confidential information over time. Such metrics should allow for quantifying how much information that is leaking, where these information leakages are, as well as showing what these leakages mean. This includes adding enforcement mechanisms ensuring that operation on sensitive information is transparent and auditable. The data controller or external quality assurance organisations can then verify or certify that the security operation operates in a privacy friendly manner. The roadmap furthermore outlines how privacy-enhanced intrusion detection systems should be implemented by initially providing privacy-enhanced alarm handling and then gradually extending support for privacy enhancing operation to other areas like digital forensics, exchange of threat information and big data analytics based attack detection.
year | journal | country | edition | language |
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2014-08-05 | Ethics and Information Technology |