Tap-Wave-Rub: Lightweight Human Interaction Approach to Curb Emerging Smartphone Malware
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- Type
- article
- Published
- 2015-05-21
- Cited by
- 17
- References
- 40
- OpenAlex
- https://openalex.org/W1487256244
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7679102
Keywords
Computer science, Gesture, Malware, Permission, Android (operating system)
References
- Gyrophone: Recognizing Speech from Gyroscope Signals
- Not-a-Bot: Improving Service Availability in the Face of Botnet Attacks
- Static Analysis of Executables for Collaborative Malware Detection on Android
- Do windows users follow the principle of least privilege?: investigating user account control practices
- Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey
- SmartSiren: virus detection and alert for smartphones
- Crowdroid: behavior-based malware detection system for Android
- VisionWand: interaction techniques for large displays using a passive wand tracked in 3D
- Execute This! Analyzing Unsafe and Malicious Dynamic Code Loading in Android Applications
- ACComplice: Location inference using accelerometers on smartphones
- Intelligent virus detection on mobile devices
- Charade: remote control of objects using free-hand gestures
- Context-Based Access Control Systems for Mobile Devices
- ACCessory: password inference using accelerometers on smartphones
- Mind how you answer me!: transparently authenticating the user of a smartphone when answering or placing a call
- An efficient signature representation and matching method for mobile devices
- Sensing-enabled defenses to RFID unauthorized reading and relay attacks without changing the usage model
- pBMDS: a behavior-based malware detection system for cellphone devices
- Biometric Gait Authentication Using Accelerometer Sensor
- User-Driven Access Control: Rethinking Permission Granting in Modern Operating Systems
Cited by
- SMASheD: Sniffing and Manipulating Android Sensor Data for Offensive Purposes
- Measuring users' level of information security awareness : research and development of sample questions
- CSCdroid: Accurately Detect Android Malware via Contribution-Level-Based System Call Categorization
- Secure and Usable User-in-a-Context Continuous Authentication in Smartphones Leveraging Non-Assisted Sensors
- Comprehensive review and analysis of anti-malware apps for smartphones
- DroidLight: Lightweight Anomaly-based Intrusion Detection System for Smartphone Devices
- Deep Learning-Based Gait Recognition Using Smartphones in the Wild
- Malicious application detection in android - A systematic literature review
- Comparative analysis of Android and iOS from security viewpoint
- Malware in Motion
- The rise of obfuscated Android malware and impacts on detection methods
- Gait Recognition With Wearable Sensors Using Modified Residual Block-Based Lightweight CNN
- A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks
- Fusion of Dual Sensor Features for Fall Risk Assessment with Improved Attention Mechanism
- SMASheD: Sniffing and Manipulating Android Sensor Data for Offensive Purposes
- DigitalCommons@SHU DigitalCommons@SHU
- Evaluating potential sensitive information leaks on a smartphone using the magnetometer and Conformal Prediction
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