Finally, the model with the best accuracy will be selected. This comparison is made with the help of the Validation and Test datasets.
The models after proper training will be compared among each other based on various criteria. The models are trained on these different features which enables them to learn how to classify files. Based on the analysis performed on these features, the files will be classified as malicious or non-malicious. The main idea is to study different features of the downloaded file like MD5 hash, size of the Optional Header, and Load Configuration Size. This research aims to use different machine learning algorithms to differentiate between malicious and benign files successfully. The proposed solution uses various machine learning techniques to detect whether a file downloaded from the internet contains malware or not. The user’s system can be affected in several ways. Malware is a malicious program or software that proves exceedingly harmful to the user’s computer. Research shows that malware has grown exponentially over the last decade, causing substantial financial losses to various organizations.
There are different kinds of malware or malicious programs found on the internet. Also, take a look at tips sharing malware samples with other researchers.Malware has become an enormous risk in today’s world. My other lists of online security resources outline Automated Malware Analysis Services and On-Line Tools for Malicious Website Lookups. Virus and Malware Samples: Includes APT, registration requiredīe careful not to infect yourself when accessing and experimenting with malicious software.URLhaus: Links to live sites hosting malware.SoReL-20M: 10M defanged malware samples ( see notes).PhishingKitTracker: Phishing sites source code.PacketTotal: Malware inside downloadable PCAP files.Contagio Malware Dump: Curated, password required.In addition to downloading samples from known malicious URLs, researchers can obtain malware samples from the following free sources: Malware researchers frequently seek malware samples to analyze threat techniques and develop defenses.