Procuring Adhoc Networks from Black Hole Attacks

MANETs are in-secure and vulnerable to attacks as it lacks a central trusted authority. Providing security to such a network becomes an essential task and forms the basis of the proposed work. The proposed system attempts to secure MANETs using route validation and cryptographic techniques. One of the most crucial, and primary concerns in today's times is to be able to detect an attacker at its initial stages. This also forms a focus point in our system, where our aim is to prevent such attacks by detecting them, preventing network degradation. The novelty of the proposal system is the use of cryptographic techniques for improving the security, along with reverse-AODV for reducing path fail correction and machine learning concepts for validation of results.Many of the existing malware detection techniques proposed by the researchers were executed either on machine independent platform, or on an available dataset with machine dependent approaches.