Secure Randomized Dispersive Route Generation for Wireless Sensor Networks

Problem Definition

Problem Description: One of the major challenges faced in wireless sensor networks is the security of data collection. With the increasing prevalence of compromised nodes and denial of service attacks, there is a pressing need for a more secure method of data collection that can effectively mitigate these threats. Current multipath routing approaches are vulnerable to such attacks, leading to the creation of black holes in the network. These black holes can severely impact the efficiency and reliability of data collection in the network, posing a significant threat to the integrity of the collected data. In order to address this problem, a new method is needed that can generate randomized multipath routes that are energy efficient and highly dispersive.

By constantly changing the route taken by data packets over time, this new approach can effectively avoid black holes at a low energy cost. Furthermore, existing routing algorithms may be susceptible to adversaries who can compromise the information by computing the same known routes as the source. Therefore, it is crucial to develop a new approach that can withstand attacks from adversaries and ensure the secure collection of data in wireless sensor networks.

Proposed Work

The proposed work titled "SECURE DATA COLLECTION IN WIRELESS SENSOR NETWORKS USING RANDOMIZED DISPERSIVE ROUTE" aims to address the vulnerabilities of compromised nodes and denial of service attacks in wireless sensor networks. By utilizing randomized multipath routes, the project introduces a novel method to enhance security and energy efficiency in data collection. Traditional multipath routing approaches are prone to attacks, such as black holes left behind by adversaries. The randomized routes generated by the new method help in avoiding these black holes at a low energy cost. Unlike existing routing algorithms that can be degraded by adversaries computing the same routes known to the source, the new approach ensures that an adversary does not affect the routes traversed by each data packet.

This research project falls under the categories of NS2 Based Thesis | Projects and Wireless Research Based Projects, with specific subcategories including Routing Protocols Based Projects, Wireless Security, and WSN Based Projects. The project utilizes software such as NS2 for simulation and analysis.

Application Area for Industry

This project can be applied in various industrial sectors such as manufacturing, healthcare, agriculture, smart cities, and transportation, where wireless sensor networks are extensively used for data collection purposes. The proposed solutions in this project can address specific challenges faced by industries, such as ensuring the security and integrity of collected data, mitigating threats from compromised nodes, and enhancing energy efficiency in data transmission. By implementing randomized multipath routes and developing a new approach to secure data collection, industries can avoid black holes in the network, prevent denial of service attacks, and protect data from adversaries. This project's solutions can lead to increased reliability, efficiency, and safety in industrial operations, ultimately improving overall productivity and decision-making processes. The benefits of implementing these solutions include enhanced data security, minimized risks of data manipulation, improved network performance, and reduced energy consumption, making it a valuable asset for industries relying on wireless sensor networks for critical operations.

Application Area for Academics

The proposed project on "SECURE DATA COLLECTION IN WIRELESS SENSOR NETWORKS USING RANDOMIZED DISPERSIVE ROUTE" holds immense potential for research by MTech and PHD students in the field of wireless sensor networks. This project addresses the critical issue of data security in the face of compromised nodes and denial of service attacks, offering a new method of data collection that is both secure and energy efficient. The randomized multipath routes generated by this project can effectively mitigate threats such as black holes in the network, ensuring the integrity of collected data. MTech and PHD students can use this project for innovative research methods, simulations, and data analysis in their dissertations, theses, or research papers. Specifically, students in the research domains of Routing Protocols, Wireless Security, and WSN can utilize the code and literature of this project to explore new avenues for securing data collection in wireless sensor networks.

This project opens doors for future research in enhancing security measures in wireless sensor networks and is a valuable resource for students seeking to make impactful contributions to the field.

Keywords

wireless sensor networks, data collection security, compromised nodes, denial of service attacks, multipath routing, black holes, randomized routes, energy efficiency, dispersive routes, secure data collection, adversaries, routing algorithms, wireless security, NS2, simulation analysis, NS2 Based Thesis, Projects, Wireless Research Based Projects, Routing Protocols Based Projects, WSN Based Projects