Reducing honeypot log storage capacity using cron job with PERL-SCRIPT / Nur Muhammad Irfan Abu Hassan

Irfan Abu Hassan, Nur Muhammad (2020) Reducing honeypot log storage capacity using cron job with PERL-SCRIPT / Nur Muhammad Irfan Abu Hassan. Degree thesis, Universiti Teknologi Mara Perlis.

Abstract

Honeypot is a decoy computer system that is used to attract and monitor hackers’ activities in the network. The aim of the honeypot is to collect information from the hackers in order to create more secure system. However, the log file generated by honeypot can grow very large when heavy traffic occurred in the system such as Distributed Denial of Services’ (DDoS) attack which possess difficulty when it is being processed and analysed by network administrator as it required a lot of time and resources. To address this issue, the objective of this project is to configure a cron job that will run a perl-script which parses the collected data into database in periodically to decrease the log size. Three DDoS attack scenarios were conducted in this project to show the increasing of the log size by sending a different amount of packet per second for 8 hours in each scenario. In scenario 3, the size of the log file has increased to 844MB which causes the honeypot to stop logging information due to the disk space used in the system has reached 100%, and it takes 5 hour 20 minutes to parse the content of the log file into the database which consumed a lot of system resources. At this point, the system performance started to drop off in terms of availability, response time, and processing speed. After using the cron job, the result shown that the log file has been reduced to 118MB, the disk space used has decrease to 91%, and it only takes 40 minutes to parse the log file into the database, thus improved overall system performance. This project had successfully reduced the log size by configuring the cron job to transfer the content of the log file into the database hourly.

Download

[img] Text
TD_NUR MUHAMMAD IRFAN ABU HASSAN CS R 20_5.pdf

Download (418kB)

Fulltext

Fulltext is available at:
UNSPECIFIED

ID Number

27160

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year