Abstract Wireless Sensor Network ( Wsn )

1. Abstract: Wireless sensor networks is growing rapidly over the few decades. Due to its flexibility, wireless sensor networks has been in practice in many areas. Among various wireless networks, Mobile Ad hoc networks has been one of the unique network. Unlike other network architectures, MANETs have no central architecture; every node is free to work both as a transmitter and receiver. Every single node can communicate freely with every other node which is in their communication range. Otherwise, it depends on neighboring nodes to relay messages. Due to this nature, MANETs are used in many missionary applications like health care, military use and emergency recovery. However the wide distribution of MANETs makes it vulnerable to malicious attacks. Hence it is necessary to design a secure system for MANETs. In this paper we implement a secure system named Enhanced Adaptive Acknowledgement especially for MANETs. To ensure higher security and reduce the network overhead, we use a different approach called hybrid cryptography in our proposed scheme. Enhanced Adaptive Acknowledgment detects higher malicious attackers without greatly disturbing the network performances. We compare the differences within the Enhanced Adaptive Acknowledgment before and after introducing the Hybrid cryptography approach

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.

With wireless sensor network, the applications are cost effective and people can use it. The main disadvantage of the wireless sensor network is that it have the limited energy and computational power so it is impossible to make traditional security methodologies to use. Many of the researchers (A.Perrig, et.al 2001) and (Karlof. C., et.al, 2004) have given attention on this problem in there research paper. There are some devices which work with sensor network which use “Check, Track and Trace”, this type of functionality is used by most of the companies for example check determines the wind monitoring ability to sense what is going around the environment. Track determines locating an object at its place as an example in the hospital or in the warehouse, we can determine the location of physical assets and then tracing that with the help of sensors. The large application in the Wireless sensor networks make it hard to discuss security without any specific context. In wireless sensor networks, the security is the main problem.

The WSN infrastructures can be designed in a variety of ways to address different priorities and make the appropriate technology trade-offs based on the requirements of the certain application. There are number of interrelated design variables associated with wireless sensor networking.

The sensor nodes in a Wireless Sensor Network (WSN) are used for surveillance of ambient environment, which can be unpredictable. The sensor nodes are often exposed to harsh surroundings, which could lead to many problems like failure of the sensing unit, radio transceiver, and processors; not just that, also sensor node death occurs due to energy crunch eventually. So it’s understood that faults directly affect the network lifetime of a Wireless Sensor Network. Wireless Sensor Network Lifetime means the time period required for the network to function with the collective effort of sensors even if some of the nodes have failed. When this percentage of failed nodes increases, fault prevention and avoidance strategies are needed to be applied to improve reliability and performance of the network. A reliable WSN yields accurate results. For fault tolerance in WSN, maintenance of a consistent quality of service (QoS) is necessary. Also energy efficiency comes into picture, which is a difficult task to achieve.

Abstract: In Cyber-Physical Networked Systems (CPNS), the antagonist can inject false measurements into the controller through compromised sensor nodes, which not only threaten the security of the system, but also consume network resources. To deal with this issue, a number of en-route filtering schemes have been designed for wireless sensor networks. However, these schemes either lack resilience to the number of compromised nodes or depend on the statically configured routes and node localization, which are not suitable for CPNS. In this research, we propose a system, which can filter false inoculated data effectively and achieve a high resilience to the number of compromised nodes without relying on static routes and node localization. This adopts polynomials instead of Message Authentication Codes (MACs) for endorsing measurement reports to achieve resilience to attacks. Each node stores two types of polynomials: authentication polynomial and check polynomial, derived from the primitive polynomial, and used for recommending and verifying the measurement reports. Through extensive theoretical analysis and experiments, our data shows that our system will achieves better filtering capacity and resilience to the large number of compromised nodes in appraisal to the existing schemes. The Polynomial based Compromise Resilient En-route Scheme against False Data Attacks Networked Systems done by using OM Net Simulator.

The centralized approach is to recognize the most frequently used approach and to diagnose abnormal data readouts caused by a monitoring process, malfunctions of the components of the sensor node, or environmental events. In the centralized failure detection, each sensor node periodically collects its read and sends a packet on the radio to the central base node responsible for identifying faulty sensor nodes in WSN. In this concern, there are many research activities were reported. Gupta and Younis tried to provide a tolerant grouping mechanism to fail to provide the sensor by performing a sensor recovery in the runes in which the bridge has recovered. The mechanism is separated into two phases: 1) detection

Ans: Wireless Sensor Network is a system with collection of sensors formulated with irregular patterns in remote areas with limited number of hardware resources.

Abstract - A wireless sensor network (WSNs) is composed of sensor nodes having a set of processor and limited memory unit embedded in it. The most important task for such network is to provide reliable routing of packets from the sensor nodes to its base station. In Wireless Sensor Networks, routing is much more complex than other wireless networks. In WSN routing strategy should be the energy efficient. This survey paper gives an overview of the different routing protocols used in wireless sensor networks and gives a brief working of energy efficient routing protocols in WSN. This study presents the comparison among different routing protocols based on various parameters towards the energy efficiency for WSNs.

Figure 1.1 depicts a typical WSN. Networking unattended sensor nodes are expected to have significant impact on the efficiency of many military and civil applications such as combat field surveillance, security and disaster management. These systems process data gathered from multiple sensors to monitor events in an area of interest. For example, in a disaster management setup, a large number of sensors

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

Wireless sensor networks (WSN) are self- governing sensors that are widely distributed in the respective environment. They are also referred as wireless sensor and actuator networks (WSAN). They are used to observe physical or environmental conditions, for example, temperature, sound, natural activities etc. They collect data from each active node and pass it to the network to the centralized location. There are many flaws occurred in wireless sensor network like user authentication as well as data travel in the network is not so much secure. We are developing a technique in which firstly we are allowing the user to pass the hard security authentication scheme and then the user can join the network. Further we are also providing a secure file transmission in network via public and private key concept. In this way we maintain the secure and authenticated transmission of data in predescribed environment.

A wireless sensor network (WSN) consists of sensing device, computation element, and communication elements that gives user the ability to measure, observe and react to particular events and phenomena in that problem field. A sensing device provides data from sensing physical characteristics such as temperature, pressure and sound etc and then transmits that data to the base station via radio either on time basis or demand basis. A wireless sensor network may contains just a few or large number of wireless sensor nodes, operating in a synchronized and coherent manner to fulfill a common task depending on application.

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

Wireless sensor networks are the networks that gather information such as environmental information, which there are numbers of applications of WSN such as healthcare, building monitoring, forest fire, smart home etc. WSN is capable of sensing, processing and communicating independently. However, as most of the sensor nodes are powered by non-rechargeable battery, the limitation of energy supply has considerably reduced the lifetime of the sensor network. Hence, new designs of sensor node network and energy efficient MAC (Media Access Control) and protocols for long term autonomous monitoring wireless sensor network has become the next vision.