Security Issues Of Wireless Sensor Networks

3) Secure data aggregation: Fine grain sensing is one of the important compensation of a wireless sensor network which is provided by the large and dense sets of nodes .So to avoid overwhelming amounts of traffic, the sensed values must be aggregated and the aggregation may take place in many places in the network depending on the architecture of the wireless sensor network. For example, the system may average the temperature of a geographic region, combine sensor values to compute the location and velocity of a moving object, or aggregate data to avoid false alarms in real-world event detection. All aggregation locations must be secured [8].

Abstract— Wireless Sensor Networks (WSN) introduce a new way to interact with the physical environment. The security in WSNs became an attractive area of research. WSNs are susceptible to a wide range of malicious attacks. At present ECC is considered for secure communications, which is having good potential for WSN security due to its smaller key size and its high strength of security. Unfortunately, the execution time of ECC is more which is not suitable for more number of applications. A number of other security mechanisms have been proposed for sensor networks to provide data confidentiality, namely Advanced Encryption Standard (AES) and Data Encryption Standard (DES). In this paper, we propose an algorithm, which is compared and analyzed with the existing ECC and AES to provide better security with authenticated sensor nodes. The authentication is done with a secret code. The proposed algorithm will ensure the secure communication with authenticated devices. The analysis results shows that the scheme works better than the common existent schemes with better utilization of available memory.

Although the Internet of Things is a great thing, it carries along many security and privacy concerns. Trend Micro, an IT Security Company, breaks down each layer of

Analyzes the problems existing in the Internet of things through each layer in Internet of things especial in perception layer and access layer. Introduced some security and privacy situation of Internet of things like anonymous method, the basic principle of encryption technology. Overview of Internet privacy protection technology in the future and the improvement technology.

There have been significant contributions to overcome many weaknesses in sensor networks like coverage problems, lack in power and making best use of limited network bandwidth, however; work in sensor network security is still in its infancy stage. This paper is an effort to introduce the

This paper is presenting a concept on the algorithm for picking the cluster leader for the operation of data aggregator that works moderately by connecting with the wireless sensor network. The bandwidth consumption and energy effectiveness of wireless sensor networks is limited no longer usage and is eliminated by the data aggregator of wireless sensor networks. The data is collected from all the other nodes and this data is transmitted to the wireless nodes by the cluster node. To minimise the traffic congestion or traffic flow we choose the algorithm, which will automatically choose the shortest path in the wireless network for generating the path to the node called ‘cluster leader’ from the data packet router.

The Prisense Protocol [4] provides a novel solution to privacy-preserving data aggregation in people-centric urban sensing systems. PriSense is builds the concept of data slicing and mixing and can support a wide range of statistical additive and non-additive aggregation functions like as Variance, Sum, Count, Average, Median, Max/Min, Histogram, and gives accurate aggregation results. PriSense also can support strong user privacy against a tuneable threshold number of colluding users and aggregation servers. The efficiency of PriSense are confirmed by thorough analytical and simulation results. The results determine that PriSense is very suitable and practical as a

Wireless Network Sensors (WSNs) [4] has offered a lot of Intelligent Systems which require minimum expenditure with least labor services. WSNs works entirely on sensors which sense physical as well as environmental conditions such as temperature, sound, pressure, noise etc. We have come along with lots and lots of services in Industrial monitoring, health care monitoring, and environmental monitoring using WSNs. I came across an interesting journal of Intelligent Parking Lot Application using Wireless Sensor Networks by Sangwon Lee, Dukhee Yoon and Amitabha Ghosh, 2008.

In this paper, I will mainly focus on analyzing and evaluating the current Wireless Sensor Networks (WSN). This paper starts with an overview on fundamentals of WSNs, by providing necessary background to understand

WSN can be applied to many other fields such as habitat monitoring, environment monitoring, smarthome, intelligent transportation and so on.

Wireless sensor nodes consists of three pars first one is wireless means without wires second one is sensor mean our nodes or data sensing process third and last one is networks means connection of these nodes to form a network to communicate and report data. When we concern its quality of service it may become too wide part of research so we are promised to work only in energy efficient protocols. The reason behind wireless

Routing in WSNs is very challenging due to the inherent characteristics that distinguish these networks from other wireless networks like mobile ad hoc networks or cellular networks. Due to the relatively large number of sensor nodes, it is not possible to build a global addressing scheme for the deployment of a large number of sensor nodes as the overhead of ID maintenance is high. Thus they require careful resource management. This paper describes various routing protocols and their comparison and working of LEACH protocol and enhanced LEACH protocol.

Low Energy Aware Cluster Hierarchy (LEACH) is one of the hierarchical routing protocols that uses very limited amount of energy and increases the lifetime of the network. Transfer of Data through Wireless Sensor Network is a challenging task today particularly with the existence of Denial of Service (DoS) attacks, Flooding attack, Black hole attach and Gray hole attack. All attacks mentioned above are implemented and their impacts on the performance of the LEACH in terms of different metrics including packet

Abstract: Wireless sensor networks (WSN) have grabbed much attention in recent years due to their potential use in many applications. One such application is deploying WSN in underground mines to monitor the miner 's physical signals as well as the environment they are exposed to. However, due to the resource constraints of sensor nodes and the adhoc-formation of the network, in addition with an unattended deployment, pose un-conventional demands provoke the need for special techniques for design and management of WSN. Because of the restrictions caused by the lossy dielectric walls and ceilings in the underground mines, the radio signal propagation characteristics are significantly different from those of terrestrial wireless channels. In this paper, underground WSN is designed considering worker’s safety in under-ground, increased energy efficiency and productivity as main goals.

A Survey Paper On Prevention of Data Aggregation in Wireless Sensor Network By Removing Attacker Impact By Node Recovery