Mobile Security

8.

Advanced Topics and Emerging Trends

8.1.

Mobile Device Forensics

8.1.1.

Data Acquisition Methods

8.1.1.1.

Logical Data Acquisition

8.1.1.2.

Physical Data Acquisition

8.1.1.3.

File System Acquisition

8.1.1.4.

Cloud Data Acquisition

8.1.2.

Forensic Analysis Techniques

8.1.2.1.

Application Data Analysis

8.1.2.2.

Communication Log Analysis

8.1.2.3.

Location Data Analysis

8.1.2.4.

Deleted Data Recovery

8.1.3.

Legal and Procedural Considerations

8.1.3.1.

Chain of Custody Maintenance

8.1.3.2.

Evidence Preservation

8.1.3.3.

Privacy and Consent Issues

8.1.3.4.

Court Admissibility

8.1.4.

Forensic Tool Usage

8.1.4.1.

Commercial Forensic Tools

8.1.4.2.

Open Source Tools

8.1.4.3.

Custom Analysis Scripts

8.1.4.4.

Cloud-Based Forensics

8.2.

Internet of Things and Wearable Security

8.2.1.

IoT Device Security Challenges

8.2.1.1.

Device Authentication

8.2.1.2.

Firmware Security

8.2.1.3.

Communication Protocols

8.2.1.4.

Update Mechanisms

8.2.2.

Wearable Device Security

8.2.2.1.

Health Data Protection

8.2.2.2.

Biometric Data Security

8.2.2.3.

Device Pairing Security

8.2.2.4.

Battery and Performance Constraints

8.2.3.

Bluetooth Low Energy Security

8.2.3.1.

Pairing Mechanisms

8.2.3.2.

Encryption Implementation

8.2.3.3.

Authentication Protocols

8.2.3.4.

Privacy Protection

8.2.4.

Edge Computing Security

8.2.4.1.

Distributed Processing Security

8.2.4.2.

Data Locality Issues

8.2.4.3.

Edge Device Management

8.2.4.4.

Network Segmentation

8.3.

Fifth Generation Network Security

8.3.1.

5G Architecture Security

8.3.1.1.

Network Function Virtualization

8.3.1.2.

Software-Defined Networking

8.3.1.3.

Edge Computing Integration

8.3.1.4.

Service-Based Architecture

8.3.2.

Network Slicing Security

8.3.2.1.

Slice Isolation

8.3.2.2.

Inter-Slice Communication

8.3.2.3.

Slice Management Security

8.3.2.4.

Quality of Service Protection

8.3.3.

Enhanced Mobile Broadband Security

8.3.3.1.

High-Speed Data Protection

8.3.3.2.

Massive Device Connectivity

8.3.3.3.

Ultra-Low Latency Requirements

8.3.3.4.

Mission-Critical Communications

8.3.4.

5G Threat Landscape

8.3.4.1.

Expanded Attack Surface

8.3.4.2.

Supply Chain Risks

8.3.4.3.

Nation-State Threats

8.3.4.4.

Critical Infrastructure Protection

8.4.

Privacy-Enhancing Technologies

8.4.1.

Location Privacy Protection

8.4.1.1.

GPS Data Protection

8.4.1.2.

Location Obfuscation

8.4.1.3.

Differential Privacy

8.4.1.4.

Anonymous Location Services

8.4.2.

Data Minimization Techniques

8.4.2.1.

Purpose Limitation

8.4.2.2.

Data Retention Policies

8.4.2.3.

Selective Data Collection

8.4.2.4.

Privacy by Design

8.4.3.

Anonymization and Pseudonymization

8.4.3.1.

Data De-identification

8.4.3.2.

8.4.3.3.

8.4.3.4.

8.4.4.

User Consent Management

8.4.4.1.

Granular Consent Controls

8.4.4.2.

Consent Withdrawal

8.4.4.3.

Consent Verification

8.4.4.4.

Consent Audit Trails

8.5.

Artificial Intelligence in Mobile Security

8.5.1.

Machine Learning for Threat Detection

8.5.1.1.

Behavioral Analysis

8.5.1.2.

Anomaly Detection

8.5.1.3.

Pattern Recognition

8.5.1.4.

Predictive Analytics

8.5.2.

AI-Powered Security Controls

8.5.2.1.

Automated Threat Response

8.5.2.2.

Intelligent Access Controls

8.5.2.3.

Risk-Based Authentication

8.5.2.4.

Adaptive Security Policies

8.5.3.

Behavioral Biometrics

8.5.3.1.

Keystroke Dynamics

8.5.3.2.

8.5.3.3.

8.5.3.4.

Voice Recognition

8.5.4.

AI Security Challenges

8.5.4.1.

Adversarial Machine Learning

8.5.4.2.

Model Poisoning

8.5.4.3.

Privacy-Preserving ML

8.5.4.4.

Previous

7. Secure Mobile Application Development

Go to top

Back to Start

1. Introduction to Mobile Security