SISTEM PENCEGAHAN RANSOMWARE WANNACRY MENGUNAKAN METODE STRING MATCHING

IKHSAN, MUHAMMAD and Deris, Stiawan and Ahmad, Heryanto (2021) SISTEM PENCEGAHAN RANSOMWARE WANNACRY MENGUNAKAN METODE STRING MATCHING. Undergraduate thesis, Sriwijaya University.

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Abstract

Wannacry ransomware is a specific type of malware that threatens access to victims unless their data has been redeemed or paid for. Usually, ransomware encrypts the content on the victim's hard drive making it inaccessible to the victim. After making the payment or ransom, a decryption key will be given to the victim. In this research, a snort detection system is used and the prevention system is opnsense. For string matching, the pattern obtained from the snort detection system will be used and the packets will be filtered using the keywords they are looking for. The success rate for the snort detection system is 66%, while the success rate for the prevention system is 61%. And the detection system of the string matching level of confusion matrix is ​​85% of the unvarra dataset, while the confusion matrix of the attack trial dataset is 95%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Ransomware Wannacry, Intrusion Prevention System, Suricatta, Sistem, Pencegahan, Eternalblue
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75.5.A142 Computer science. Information society. Information technology. Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76 Computer software Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.A25 Computer security. Systems and Data Security. Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.E94 Computer system performance. Computer Communication Networks. Computer science. Logic design. Operating systems (Computers).
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Muhammad ikhsan
Date Deposited:	31 Aug 2021 07:04
Last Modified:	31 Aug 2021 07:04
URI:	http://repository.unsri.ac.id/id/eprint/52970

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