Block cipher is in vogue due to its requirement for integrity, confidentiality and authentication. Differential and Linear cryptanalysis are the basic techniques on block cipher and till today many cryptanalytic attacks are developed based on these. Each variant of these have different methods to find distinguisher and based on the distinguisher, the method to recover key. This paper illustrates the steps to find distinguisher and steps to recover key of all variants of differential and linear attacks developed till today. This is advantageous to cryptanalyst and cryptographer to apply various attacks simultaneously on any crypto algorithm.

Today, IOT (Internet of Things or Internet of Objects) is popular upcoming topic in Wireless network and in Wireless Network. Localization has become a crucial factor for various monitoring applications such as search, rescue, disaster relief, target tracking etc. Various WSN localization technologies are designed for calculating location of the unknown node. IOT is a latest approach where it combines many technologies, such as network technology, communication technology, database technology (Internet, Bluetooth, infrared, Wi-Fi, GPRS, 3G, SQL, etc) to provide location based service which enables different ways to obtain the location information of various objects. In this paper, we focus on to achieve higher localization accuracy based on services in which we deploy sensing devices to calculate the information of sensor nodes and its surrounding nodes where it requires less hardware and less implementation, To improve the localization accuracy, we propose a Weighted Centroid based on IOT mechanism capable to give accurate calculation between Anchor node and Unknown node.

In Wireless sensor network (WSN), estimating the exact position of sensor node is an important research problem and its location accuracy impacts the efficiency of localization algorithms. In this paper improved centroid range free localization method is proposed and comparison with conventional centroid is done by varying different parameters such as anchor nodes, communication range and node density. The simulation results show the performance of proposed algorithm is superior to that of the conventional centroid algorithm i.e. proposed centroid algorithm has high position accuracy.