Data storing and retrieving has been important since decades in the world of information. It makes this process prolific, when the retrieved information becomes smartly meaningful. Data mining is this new flavor. In the recent years data mining is a wide spread and active area of research. Its meaningfulness has gained momentum due to its vast area of applications. One of the popular and potential sub-areas of data mining is preserving privacy while mining. Data mining tools bring a factor of threat to the data under study for subjects like medical history, banking/credit card details, judicial matters and a few more. In such sectors, the data can be sensitive and personal. Protecting such data becomes the key factor during the process of mining. Here is an attempt to study the techniques used to address the issue of privacy preserving data mining in a distributed database environment in the last decade.
This paper suggests the multimodal biometrics system for identity verification using two traits: face and fingerprint. The proposed system is intended to use for the training database includes a face and four fingerprint images for each individual. The final decision is made by first individual score of face and fingerprint compares with enrolled templates and then makes fusion at matching score level architecture. The enrolled templates are stored in database. Each subsystem computes its own matching score by using closeness of feature vector and template. The decision module decides the final score by combining individual score of each trait. Multimodal system is developed through fusion of face and fingerprint recognition. The result is significantly improved by using multimodal biometric authentication.
The availability of bandwidth for internet access is sufficient enough to communicate digital assets. These digital assets are subjected to various types of threats.[19] As a result of this, protection mechanism required for the protection of digital assets is of priority in research. The threat of current focus is unauthorized copying of digital assets which give boost to piracy. This under the copyright act is illegal and a robust mechanism is required to curb this kind of unauthorized copy. To safeguard the copyright digital assets, a robust digital watermarking technique is needed. The existing digital watermarking techniques protect digital assets by embedding a digital watermark into a host digital image. This embedding does induce slight distortion in the host image but the distortion is usually too small to be noticed. At the same time the embedded watermark must be robust enough to with stand deliberate attacks. There are various techniques of digital watermarking but researchers are making constant efforts to increase the robustness of the watermark image. The layered approach of watermarking based on Huffman coding [5] can soon increase the robustness of digital watermark. [11] Ultimately, increasing the security of copyright of protection. The proposed work is in similar direction where in RMI (Random Matrix Image) is used in place of Huffman coding. This innovative algorithm has considerably increased the robustness in digital watermark while also enhancing security of production.
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