Improvement of Node Level Data Protection Against Malicious Node by Data Aggregation Based Routing Protocol for WSN
Deepak Tyagi, Bhargavi Gaurav Deshpande · 2023
Data protection against malicious nodes is a growing area of research in computer security. Malicious nodes refer to malicious actors in a network who are working to disrupt network operation, steal data or introduce malicious content or services. The goal of data protection against malicious nodes is to develop and employ countermeasures which can detect, isolate and prevent malicious activity on the network. This research area is primarily focused on solutions for protecting data against malicious nodes, such as vulnerability scanners and intrusion detection systems. These solutions, which can also be automated using modern machine learning techniques, detect malicious behavior such as SQL injection, spoofing, and phishing. Data protection measures against malicious nodes need to be both efficient and effective in order to provide significant security benefits. Different techniques, ranging from encryption and digital signatures to authentication and authorization, are employed to detect and prevent malicious activities from attacking network data. Also, by using honeypots, virtual private networks, firewalls, and endpoint security solutions, organizations can protect their networks from malicious nodes. All in all, data protection against malicious nodes is an important area of research with many solutions offered and is continuously being improved upon with the development of new technologies.