Addressing the Rising Challenge of Malware Innovative Detection and Mitigation Techniques

Addressing the Rising Challenge of Malware Innovative Detection and Mitigation Techniques

연구 분야: Safety

학회: 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)

This research talks about Hybrid Anomaly Detection (HAD), a complex technology for finding and stopping malware. There are four different methods to apply the approach. The following are a few examples: EDR, DBA, TIS, and EML. The goal of the ablation specialists is to enhance the HAD structure in whatever way possible. With a success rate of 99.5% and only one false positive, DBA starts monitoring the process the second it starts. EML makes the system more flexible and useful by finding malware using probability estimates and weighted voting. TIS protects against new threats and motivates people to work together by sharing and prioritizing threat information. EDR is all about computer security by evaluating and reducing risks. The ablation study focuses on how well each algorithm can identify things, how flexible it is, how well it can work with others, and how safe it keeps endpoints safe. Since these algorithms work well together, the HAD framework offers a complete answer that performs better than other approaches in many ways. This study suggests a good way for everyone to work together to fight modern computer risks, which will improve cybersecurity.