Secure intrusion detection framework and prevention of network and mobile device vulnerabilities through malware

Computer security means storing information on a computer in a secure manner, which today represents destructive information. Malware is a serious threat to the security of computer systems. Traditional malware detection techniques, such as signature-based methods, exploration-based methods and charcter-based methods are used to identify previously recognized and known malwares. These techniques accurately detect known malware, but are not capable of detecting new and unknown malware.Android smartphone users can download applications from various sources for free, but these programs are not approved by trusted organizations and may contain malicious application information or mechanisms that can steal user’s private information. With the rapid growth of mobile operating systems on the market, the Android platform has become the most popular operating system in recent years, which has caused security problems and threats. Malware is one of the most serious threats to the computer information system, and current malware detection technology still has some very important limitations.In this paper, we have tried to provide malware detection systems based on data mining and machine learning techniques, and, given the challenges in detecting malware and coping with possible damages, a solution is needed to secure network systems.

کلیدواژه ها:

Cybersecurity ، Intrusion Detection ، Malware ، Security Framework ، Information Security ، Digital Forensics ، Honeypot.