Filter by
EKSTRAKSI INDICATOR OF COMPROMISE PADA CYBER THREAT INTELLIGENCE MENGGUNAKAN …
Penelitian ini bertujuan untuk mengembangkan sistem ekstraksi Indicator of Compromise (IoC) dari teks Cyber Threat Intelligence (CTI) menggunakan pendekatan Named Entity Recognition (NER). Permasalahan utama dalam CTI adalah data yang bersifat semi-terstruktur sehingga menyulitkan identifikasi informasi penting secara manual. Metode yang digunakan adalah model BiLSTM-CRF dengan skema BIO untuk …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- 93 hlm.; ilus.; 29 cm
- Series Title
- -
- Call Number
- T1956412026
PENDEKATAN NAMED ENTITY RECOGNITION TERHADAP IOB1 DAN IOB2 TAGGING SCHEME UNT…
Cyber Threat Intelligence (CTI) is essential to support cyber threat detection and mitigation, particularly for Advanced Persistent Threat (APT) activities that are commonly reported in unstructured text. This condition makes critical information difficult to utilize automatically without an entity extraction process. This study aims to analyze the performance of Named Entity Recognition (NER) …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xiv, 48 hlm.; ilus.; 29 cm
- Series Title
- -
- Call Number
- T1933302026
DETEKSI EXPLOIT REVERSE HTTPS MENGGUNAKAN METODE NAIVE BAYES
The security of web applications based on the HTTPS (Hypertext Transfer Protocol Secure) protocol is becoming increasingly important. Although using the HTTPS protocol adds an extra layer of security through data encryption, there are still security threats, including reverse exploits. A reverse exploit is an attack tactic that can allow unauthorized access to a web application and compromise i…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xv, 32 hlm.; ilus.; 29 cm
- Series Title
- -
- Call Number
- T1595172024
Computer Science, Information & General Works 
Philosophy & Psychology 
Religion 
Social Sciences 
Language 
Pure Science 
Applied Sciences 
Art & Recreation 
Literature 
History & Geography