Prevention Of Data Aggregation Of Wireless Sensor Network By Removing Attacker Impact By Node Recovery

So we will definitely need to have a base station that controls all the sensors and makes sure that it uses encryption to secure communication. We will have authentication, so that we can ensure data integrity and origin and to prevent injection of unauthorized messages. Use confidentiality, so that we can ensure secrecy of data and prevent eavesdropping. To accomplish this we are going to use Sensor-Network Encryption Protocol (SNEP) and micro Timed Efficient Stream Loss-tolerant Authentication

The conceptual framework for the deployed system is given bellow. The framework contains one Coordinator which is connected to the control station computer through USB cable, four routers and three sensor devices. Data packets from the sensor device are transmitted to the coordinator via multi-hop routing.

Undoubtedly, this paper will generate network information, diagrams, and/or tables; accordingly, these are all included in the Appendix section of the paper. Moreover, the training, vulnerability assessment, and SAQ results are also included as an Appendix in the final paper. Finally, fearing disclosure of proprietary information that could compromise network security, all project data are scrubbed and sanitized to remove sensitive information.

When reviewing the security system, the second thing to look at is the available motion sensors, which provide a second line of defense if intruders gain entrance into the home. These sensors use passive infrared technology to detect heat signatures emitted by intruders. Advanced monitors will detect both heat and motion and some can even distinguish between pets and people. These motion sensors also can be wired into the electrical system, so they serve as occupancy sensors and automatically shut off lights in rooms with no

In this work, we shall focus on providing temporal privacy which is very curtail to providing source and sink location privacy. There are generally two ways to locate a sensor using passive attacks: traffic analysis [1] and packet tracing [2, 3]. The traffic analysis can determine location by analyzing the traffic. Packet tracing can be used to find the source

The main problem with current intrusion detection systems is the high rate of false alarms triggered off by attackers. Effective way of protecting the network against malicious attacks is the problem in both area of research and the computer network managing professionals. Improved monitoring of malicious attacks will require integration of multiple monitoring systems. In our current project we are analyzing potential benefits of distributed multi sensor

This topic deals more about the methods and technologies in tandem for en-hancing overall security of any embedded device . At places one can notice that the topics discussed earlier could have criss-crossed here, but here the same discussion is more looked from the prism of overall security rather than arbitrarily which was the case earlier.

Abstract: - Security is one of the important aspect in deciding the reliability of any system and Cyber – Physical systems cannot be ruled out from this important issue. In this paper we investigate the security issues in CPS, enforcing sensor network theory information flow based theory and control theory in CPS which are the three primary approaches to system security policies and mechanisms. In brief we will categorize attacks based on these three primary approaches and also discuss some of the mitigations to inflate the growth of CPS in terms of security.

Limited security in wireless sensor networks has led to a number of attacks come to prominence. Ameen et al (2012) identify the most common transmission threats to wireless sensor networks which include data modification, impersonation attacks, eavesdropping, and replaying (p. 97). Kumar and Lee (2012) specify routing threats in wireless sensor networks which they identify as follows:

As the number of systems to be monitored increases and the chances of attacks increase we

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.

A wireless sensor network (WSN) consists of spatially distributed autonomous sensors. Those are accustomed monitor physical or maybe environmental conditions. The Conditions are temperature, sound, pressure, etc. They to boot hand in glove pass their information through the network to a main location. The modern networks are bidirectional, that to boot sanctioning management of sensory activities. The planning and development of wireless device networks were motivated by military applications like parcel investigation. Now, these networks are used in many industries and consumer applications, like method observance and management, machine health observance, and lots of lots of. The WSN is made of "nodes" - from many of too many voluminous or even thousands, wherever every node is connected to at least one (or usually several) sensors. Every such device network node has typically many parts: a radio transceiver with an enclosed associate degree antenna or association to Associate in Nursing external antenna, a micro-controller, associated qualification electronic circuit for interfacing with the sensors associate degreed an energy supply, usually device or qualification embedded form of energy gathering. Vampire attack is printed as a result of the composition and transmission of message that causes many energy to be consumed by the network than if an honest node(unaffected node) transmitted a message of identical size to identical

Abstract — Wireless sensor networks are being widely used in many surveillance applications. Since sensor nodes are a critical part of sensor networks, certain level of protection needs to be provided to them. The self-protection problem focuses on using sensor nodes to provide protection to themselves instead of the target objects or certain target area so that the sensor nodes can resists the attacks targeting to them directly. In this paper we compare paper [1] and paper [2]. The key research question being asked, how

The main objective of this project is to enhance the security of a network using various modern day technologies.

Vampire attacks possess a serious threat to security of wireless sensor network. The proposed work has been compared based on various parameters. The various parameters used are energy consumption, average throughput, average delay etc.