Filter by
OPTIMALISASI MULTI-CLASSIFICATION SERANGAN CYBER MENGGUNAKAN METODE K-NEAREST…
Cyber attacks are a form of threat aimed at stealing, damaging, or altering important data within computer systems or networks. These attacks include hacking, phishing, and malware. Detecting cyber attacks is crucial to maintaining the security of information systems from increasing threats. One tool used for threat detection is Intrusion Detection Systems (IDS), which monitor system events and…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xxii, 251 hlm.; tab.; ilus.; 29 cm.
- Series Title
- -
- Call Number
- T1431382024
PENERAPAN METODE HYBRID CNN-LSTM DALAM SISTEM DETEKSI MULTI CLASSIFICATION CY…
In the rapid development of technology, System and Network Security is very important in the ecosystem of digital communication environments. Machine Learning techniques can be used to solve this problem. This research discusses the Machine Learning model to detect Cyber Attack using the Hybrid CNN-LSTM method. In its implementation, CNN is used to select characteristic features from the input …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvi, 164 hlm.; tab.; ilus.; 29 cm.
- Series Title
- -
- Call Number
- T1431302024
SISTEM DETEKSI MULTI-CLASSIFICATION SERANGAN CYBER MENGGUNAKAN METODE DEEP LE…
Cyber attacks have become an increasing threat to the security of modern information systems. To overcome the complexity and diversity of attacks that occur, a sophisticated and reliable detection approach is needed. In this research, we propose a multi-classification cyber attack detection system that adopts the Deep Learning Convolutional Neural Network (CNN) method. CNNs have proven effectiv…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvi, 187 hlm.; tab.; ilus.; 29 cm.
- Series Title
- -
- Call Number
- T1431292024
Computer Science, Information & General Works 
Philosophy & Psychology 
Religion 
Social Sciences 
Language 
Pure Science 
Applied Sciences 
Art & Recreation 
Literature 
History & Geography