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The trade-off between privacy and security was a subject of intensive discussion. Giving up privacy does not necessarily result in greater security, and greater security does not necessarily require a loss of privacy. In this work, three different novel approaches are presented to store personal data obtained from intelligent video surveillance systems in an efficient and secure way. The storage process of this data poses a number of challenges e.g. storage optimization, query performance, security management, access control and performance management. Each of the proposed technique is evaluated and analyzed with respect to the above-mentioned challenges. Field test results showed that each of the technique can be successfully applied to hide/conceal privacy related data with a maximum storage as well as retrieval performance.