AI-Enhanced Trust Management for Securing Mobile Ad Hoc Networks

Problem Definition

Problem Description: Mobile Ad Hoc Networks (MANETs) are susceptible to security vulnerabilities due to their dynamic topology and open wireless medium. Traditional security measures are often not sufficient to protect MANETs from attacks such as black hole, gray hole, and wormhole attacks. The use of uncertain reasoning and trust management in enhancing security in MANETs can address these vulnerabilities. By implementing a unified trust management scheme based on direct and indirect observations, the proposed project aims to improve the accuracy of trust values and enhance the overall security of MANETs. This can help prevent unauthorized access, malicious activities, and ensure the reliability of data transmission within the network.

Proposed Work

The project titled "Security Enhancements for Mobile Ad Hoc Networks with Trust Management Using Uncertain Reasoning" aims to address the security vulnerabilities faced by MANETs due to their dynamic topology and open wireless medium. Through the utilization of an artificial intelligence community and a unified trust management scheme, the project proposes a trust model that incorporates both direct and indirect observations. By employing Bayesian interference for direct observations and Dempster-Shafer theory for indirect observations, a more accurate trust evaluation is achieved. The newly designed technique outperforms conventional systems, leading to significant improvements in throughput and packet delivery ratio. This project falls under the categories of NS2 Based Thesis Projects and Wireless Research Based Projects, with subcategories including Mobile Computing Thesis, MANET Based Projects, and Wireless security.

The software used for this project includes artificial intelligence algorithms and network simulation software like NS2.

Application Area for Industry

The proposed project on "Security Enhancements for Mobile Ad Hoc Networks with Trust Management Using Uncertain Reasoning" can be applied in various industrial sectors that rely on mobile ad hoc networks for communication and data transmission. Industries such as defense and military sectors, emergency response teams, and remote industrial operations can benefit from the improved security of MANETs provided by this project. These sectors often face challenges of unauthorized access, malicious activities, and data reliability issues in their communication networks, which can be addressed by implementing the trust management scheme with uncertain reasoning. By enhancing the accuracy of trust values and preventing attacks such as black hole, gray hole, and wormhole attacks, the project can ensure secure and reliable data transmission within the network, ultimately improving the operational efficiency and safety of these industrial domains. The proposed solutions of employing Bayesian interference for direct observations and Dempster-Shafer theory for indirect observations not only enhance the security of MANETs but also lead to significant improvements in throughput and packet delivery ratio.

This can be particularly beneficial for industries where real-time data transmission is critical, such as healthcare, transportation, and logistics sectors. The project falls under the categories of NS2 Based Thesis Projects and Wireless Research Based Projects, with subcategories including Mobile Computing Thesis, MANET Based Projects, and Wireless security. By implementing the unified trust management scheme based on direct and indirect observations, industries can mitigate security vulnerabilities and ensure the confidentiality, integrity, and availability of their data transmissions, thus improving overall operational processes and decision-making.

Application Area for Academics

The proposed project on "Security Enhancements for Mobile Ad Hoc Networks with Trust Management Using Uncertain Reasoning" holds great potential for research by MTech and PhD students in the field of wireless communication and network security. The relevance of this project lies in its focus on addressing the security vulnerabilities inherent in Mobile Ad Hoc Networks (MANETs) through the implementation of a unified trust management scheme based on uncertain reasoning. By utilizing artificial intelligence algorithms and network simulation software like NS2, students can explore innovative research methods, simulations, and data analysis techniques to enhance the security of MANETs. This project can be used by MTech and PhD researchers to develop dissertation, thesis, or research papers in the area of mobile computing, MANETs, and wireless security. The code and literature of this project can serve as a valuable resource for conducting in-depth studies on trust management, security protocols, and network performance evaluation in MANETs.

As a future scope, researchers can further extend the project by integrating advanced algorithms and techniques to enhance the trust model and strengthen the security measures in MANETs. Overall, this project offers a promising avenue for MTech and PhD scholars to pursue cutting-edge research in the domain of wireless communication and network security.

Keywords

mobile ad hoc networks, MANETs, security vulnerabilities, dynamic topology, open wireless medium, black hole attack, gray hole attack, wormhole attack, uncertain reasoning, trust management, unified trust management scheme, direct observations, indirect observations, trust values, data transmission, unauthorized access, malicious activities, reliability, security enhancements, artificial intelligence community, trust model, Bayesian interference, Dempster-Shafer theory, throughput, packet delivery ratio, NS2 Based Thesis Projects, Wireless Research Based Projects, Mobile Computing Thesis, MANET Based Projects, Wireless security, artificial intelligence algorithms, network simulation software, NS2.