All Databases (4)
Recent SearchesRecent Searches
Selected ItemsSelected Items
Display selected items
Please select one or more items.
Close
My Research and Language SelectionMy Research
About ProQuest
Support Center

Access provided by
Universidad de El Salvador

Recent Searches
Selected Items
Display selected items
Please select one or more items.
Close
My Research and Language Selection
Help and support

Search ProQuest...

Select language

العربية
Bahasa Indonesia
Čeština
Deutsch
Español
Français
한국어
Italiano
Magyar
日本語
Norsk
Polski
Português (Brasil)
Português (Portugal)
Русский
ไทย
Türkçe
中文(简体)‎
中文(繁體)‎

Sign in to My Research

Save and organize your research.

Username:

Password:

Forgot your password?

Create My Research account

Exit

Would you like to exit ProQuest or continue working? Tab through to the exit button or continue working link.Help icon>

Exit ProQuest, or continue working?

Exit Continue working

Note: Items you have selected during your session and your list of recent searches are not saved unless you have signed into your account and added them to My Research.

Your session is about to expire

Your session is about to expire. Sessions expire after 30 minutes of inactivity. Tab through the options to the continue working button or end session link.

Help icon

Close icon Close icon

Your session will expire in .

Sessions expire after 30 minutes of inactivity.

Continue working End Session

Note: Items you have selected during your session and your list of recent searches are not saved unless you have signed into your account and added them to My Research.

Full Text
Scholarly Journal

Machine learning-based cyber threat detection: an approach to malware detection and security with explainable AI insights

Human-Intelligent Systems Integration

; Orange County Vol. 6, Iss. 1, (Dec 2024): 61-90. DOI:10.1007/s42454-024-00055-7

PDFDownload PDF CiteCite

Copy URL

https://www.proquest.com/scholarly-journals/machine-learning-based-cyber-threat-detection/docview/3157769945/se-2?accountid=208611

Print All Options

No items selected

Please select one or more items.

Select results items first to use the cite, email, save, and export options

Document Section options

Full text
Current viewPDF
Abstract/Details
35References
96With shared references
More

It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader