Share
Malware Detection in Android
Usama Bin Amir
(Author)
·
LAP Lambert Academic Publishing
· Paperback
Malware Detection in Android - Bin Amir, Usama
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Thursday, July 18 and
Thursday, July 25.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Malware Detection in Android"
Malware detection in Android involves identifying and preventing malicious software or apps from running on Android devices. This can be done using a variety of methods, including signature-based detection, behavior-based detection, and machine learning-based detection. Signature-based detection involves comparing the digital signature of an app to a database of known malware signatures. Behavior-based detection involves monitoring an app's behavior for suspicious activity, such as accessing sensitive data or sending unauthorized messages. Machine learning-based detection involves training algorithms to identify patterns in in-app behavior that is associated with malware. These methods can be used in combination to provide comprehensive protection against malware in Android devices. Additionally, users can take steps to protect themselves from malware, such as only installing apps from trusted sources, keeping their devices up-to-date, and using anti-malware software.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
