Users of mobile devices face the problem of guarding their gadgets every time they are outdoors. Theft of laptops is the 3rd most frequent computer crime after virus and hacking. The really scary part is that according to FBI, 1 in 10 laptops purchased today will be stolen within the next 12 months. Sadly, only 3 percent will be returned. Occasionally, laptops and mobile devices are also lost due to accidents. It is a herculean task to manually locate the whereabouts of stolen or lost laptops. In this paper, we are proposing an automatic method of detecting stolen or lost hand-helds where the processing is carried out in a clustered network. The method is suitable only when the lost or stolen hand-held accesses monitored network from any location and perhaps under a new owner. The method involves logging network activity and searching through the logged information. Searching for lost hand-held in logged data will take substantial amount of time if processed in a single system. We propose a Map-Reduce based cluster processing for speedy processing of the logged data. The system is developed and will be setup in Manipal University Campus with an efficient identification method for the satisfaction of stolen or lost laptop users and network administrators.
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