£128.11

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£128 today · previous high £128 · all-time low £121

Springer Android Malware Detection Machine Learning - Springer

Amazon

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£128.11 £120.82 £122.41 £124.00 £125.59 £127.18 £128.77 25 July 2026 11 August 2026 28 August 2026 14 September 2026 02 October 2026
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Description

This comprehensive guide explores data-driven fingerprinting and threat intelligence for Android malware detection using machine learning techniques. The authors present a robust malware fingerprinting framework designed for accurate Android malware detection and family attribution across large-scale malware corpora. The methodology emphasises three critical capabilities: scalability when processing extensive malware datasets, resiliency against common obfuscation techniques that attackers use to disguise malicious code, and portability across different platforms and architectures. The book introduces an approximate fingerprinting technique for Android packaging that captures the underlying static structure of Android applications, enabling bulk and offline detection at the app-market level. This work combines practical threat intelligence with machine learning approaches to address the evolving challenges of mobile security, making it essential reading for security professionals, researchers, and developers working on malware analysis and Android application protection.

Key Features

The Android malware detection framework uses machine learning to achieve accurate detection and family attribution of malicious applications.

Scalability is built into the fingerprinting technique to handle large malware corpora and support bulk, offline detection at app-market scale.

Resiliency against common obfuscation techniques ensures the framework maintains effectiveness even when malware employs code-hiding strategies.

Portability across different platforms and architectures makes the malware detection approach adaptable to diverse Android environments.

Static structure analysis of Android applications enables efficient threat identification without requiring dynamic runtime execution.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
12 July 2022
Listed Since
15 June 2022

Barcode

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