Analyzing malware log files for internet access investigation using Hadoop

摘要: On the Internet, malicious software (malware) is one of most serious threats to system security. Major complex issues and problems on any systems are frequently caused by malware. Malware can infect computer that has connection Internet infrastructure. There many types malware some popular malwares botnet, trojans, viruses, spyware adware. users with lesser knowledge susceptible this issue. To protect prevent internet from exposing themselves towards attacks, identifying attacks through investigating log file an essential step curb threat. The exposes crucial information in malware, such as algorithm functional characteristic, network interaction between source destination, type By nature, size humongous requires investigation process be executed faster stable platform big data environment. In study, authors had adopted Hadoop, open framework extract files obtains university’s security equipment. Python program was used for transformation then analysis it Hadoop simulation includes assessing reduction size, performance execution time visualization using Microsoft Power BI (Business Intelligence). results processing have reduced 50% original while total would not increase linearly data. will further prevention protection network.