Internet security is a vital issue of recent times. It is necessary to protect our assets or valuable data from unauthorised person. There area number of techniques available, one of them is honeypot. Honeypots are modern approach to give high level security to our data. Honeypot can be deployed at victims site to attract and divert an attacker from their intended source or targets. Honeypots have the big advantage that they do not give the vital information to the unauthorised person because each traffic is observed by this security mechanism. This fact enables the system to log every byte that passes from network as well as from honeypot and it relates this data with other sources to find the real source of attack as well as attacker. In this paper the brief introduction of honeypots and the types and its uses are described. This paper would also give introduction about Kerberos. Finally we shall conclude by looking at the future of honeypot using Kerberos.
We propose system that helps to find the next probable location using attributes of geotagged images. Our approach goes in direction of developing an unattended system able to extract forensically viable information embedded with geotagged images using CBIR (Content Based Image Retrieval) and using that information it predicts next probable location. We use Haar and D4 wavelet to decompose color images into multilevel scale and wavelet coefficients, with which we perform image feature extraction and similarity match by means of F-norm theory.
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