| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep learner model for multi-language webshell detection
|
Hannousse, Abdelhakim
|
|
|
22 |
1 |
p. 47-61
|
artikel
|
| 2 |
A novel approach for detection of APT malware using multi-dimensional hybrid Bayesian belief network
|
Sharma, Amit
|
|
|
22 |
1 |
p. 119-135
|
artikel
|
| 3 |
A review on fake news detection 3T’s: typology, time of detection, taxonomies
|
Rastogi, Shubhangi
|
|
|
22 |
1 |
p. 177-212
|
artikel
|
| 4 |
Correction to: A decentralized honeypot for IoT Protocols based on Android devices
|
Lygerou, Irini
|
|
|
22 |
1 |
p. 303
|
artikel
|
| 5 |
Cyber risk management for autonomous passenger ships using threat-informed defense-in-depth
|
Amro, Ahmed
|
|
|
22 |
1 |
p. 249-288
|
artikel
|
| 6 |
Deep SARSA-based reinforcement learning approach for anomaly network intrusion detection system
|
Mohamed, Safa
|
|
|
22 |
1 |
p. 235-247
|
artikel
|
| 7 |
Early web application attack detection using network traffic analysis
|
Rajić, Branislav
|
|
|
22 |
1 |
p. 77-91
|
artikel
|
| 8 |
Gridchain: an investigation of privacy for the future local distribution grid
|
Picazo-Sanchez, Pablo
|
|
|
22 |
1 |
p. 29-46
|
artikel
|
| 9 |
Intrusion detection system over real-time data traffic using machine learning methods with feature selection approaches
|
Sah, Gulab
|
|
|
22 |
1 |
p. 1-27
|
artikel
|
| 10 |
Malicious code detection in android: the role of sequence characteristics and disassembling methods
|
Balikcioglu, Pinar G.
|
|
|
22 |
1 |
p. 107-118
|
artikel
|
| 11 |
Mobile botnet detection: a comprehensive survey
|
Hamzenejadi, Sajad
|
|
|
22 |
1 |
p. 137-175
|
artikel
|
| 12 |
Modeling reporting delays in cyber incidents: an industry-level comparison
|
Sangari, Seema
|
|
|
22 |
1 |
p. 63-76
|
artikel
|
| 13 |
PatrIoT: practical and agile threat research for IoT
|
Süren, Emre
|
|
|
22 |
1 |
p. 213-233
|
artikel
|
| 14 |
Restricting data-leakage using fine-grained access control on OSN objects
|
Rathore, Nemi Chandra
|
|
|
22 |
1 |
p. 93-106
|
artikel
|
| 15 |
User identification using deep learning and human activity mobile sensor data
|
Alawneh, Luay
|
|
|
22 |
1 |
p. 289-301
|
artikel
|
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