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A new generation of high-scale sensor networks suitable for a range of enterprise application is thriving by current advancements in electronics. In this work, we proposed a mechanism for securing data generation in a wireless sensor network. Wireless sensor networks (WSNs) are networks that provide a virtual layer where the information about the physical world can be accessed by any computational system. WSNs are made up of nodes from a few to several hundreds or even thousands where each node is connected to one or several sensors. The data generated can be easily compromised by an attacker if adequate security measures are not taken. Access and Authorization to the sensory data should be given to authorized users with the right attributes if data integrity and authentication (in a fine-grained manner) should be maintained. The increased security of the proposed system is achieved by the increased in the key size above the existing system. Achieving secure fine-grained access control policy over security challenges like sensor node compromise, accessibility of users to sensor nodes, data privacy, and protection of components on WSNs need a secure system that can precisely specify what the users can access, where and when to access any data at a particular time in the network.

Strong inclinations towards controlling and monitoring employees are becoming a more prevalent feature of working life. The success of any organization is directly proportional to the contributions of the workers either from executive level or operational level. The objective of managing workers attendance in working place is to improve profits and to minimize costs. Biometric authentication is an exciting technical improvement in recent times over other methods of human. A secure Employees Attendance Management framework (Em-pAMS) with remote monitoring that curtails the influx of ghost workers in public civil service integrated with a web-based, real-time monitoring tool that allows people in management positions to see when their employees check in and out, for informed decision-making during performance appraisal that avoids buddy-punching is presented. One major strength of the proposed system is that it provides a data security structure for ensuring the security of biometric templates (the fingerprints acquired from workers during the enrolment phase.

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