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Detection of Mobile Malware in the Wild
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-04342-0_13openalex-snapshot
VirusMeter: Preventing Your Cellphone from Spies
inferredcites →https://doi.org/10.1109/malware.2009.5403024openalex-snapshot
Detecting Symbian OS malware through static function call analysis
inferredcites →https://doi.org/10.1109/malware.2010.5665792openalex-snapshot
An Android Application Sandbox system for suspicious software detection
inferredcites →https://doi.org/10.1145/1653662.1653691openalex-snapshot
On lightweight mobile phone application certification
inferredcites →https://doi.org/10.1145/1866307.1866317openalex-snapshot
A methodology for empirical analysis of permission-based security models and its application to android
inferredcites →https://doi.org/10.1145/2046614.2046618openalex-snapshot
A survey of mobile malware in the wild
inferredcites →https://doi.org/10.1145/2089125.2089126openalex-snapshot
A survey on automated dynamic malware-analysis techniques and tools
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Statistical fingerprint‐based intrusion detection system (SF‐IDS)
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Guess who is listening in to the board meeting: on the use of mobile device applications as roving spy bugs
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Anatomy of targeted attacks with smart malware
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ESARA: A Framework for Enterprise Smartphone Apps Risk Assessment
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Preliminary Investigation of Mobile Banking Attacks in West Africa: Feedback from Orange Money Customers in Burkina Faso
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Assessing Operation of Mobile Banking Applications that Support Customers to Access Banking Services Remotely
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A Design of Network Behavior-Based Malware Detection System for Android
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Heterogeneous Architectures: Malware and Countermeasures
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MalDetec: A Non-root Approach for Dynamic Malware Detection in Android
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A Multidimensional Feature Extraction Method Based on Android Malware Detection
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HEMD: a highly efficient random forest-based malware detection framework for Android
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Research on android malware permission pattern using permission monitoring system
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Security analysis of computer networks
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An in-depth analysis of Android malware using hybrid techniques
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Dynamic VSA: a framework for malware detection based on register contents
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iABC-AL: Active learning-based privacy leaks threat detection for iOS applications
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A mobile malware detection method using behavior features in network traffic
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Information security behaviour of smartphone users
inferred← citeshttps://doi.org/10.1109/ccwc51732.2021.9376043openalex-snapshot
Forensic Requirements Specification for Mobile Device Malware Forensic Models
inferred← citeshttps://doi.org/10.1109/compsacw.2012.103openalex-snapshot
Detection of Buffer Overflow Vulnerabilities in C/C++ with Pattern Based Limited Symbolic Evaluation
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Towards a 2-hybrid Android malware detection test framework
inferred← citeshttps://doi.org/10.1109/cts.2014.6867562openalex-snapshot
Mobile malware security challeges and cloud-based detection
inferred← citeshttps://doi.org/10.1109/eit51626.2021.9491840openalex-snapshot
Security Issues of Mobile Devices: A Survey
inferred← citeshttps://doi.org/10.1109/esic64052.2025.10962743openalex-snapshot
Performance Paradox: Evaluating Machine Learning and Deep Learning Strategies for Enhanced Mobile Security
inferred← citeshttps://doi.org/10.1109/ghtce.2013.6767242openalex-snapshot
Security for smart mobile networks: The NEMESYS approach
inferred← citeshttps://doi.org/10.1109/ic3i.2014.7019691openalex-snapshot
Malware detection by token counting
inferred← citeshttps://doi.org/10.1109/icc.2016.7511573openalex-snapshot
Behavioral malware detection approaches for Android
inferred← citeshttps://doi.org/10.1109/iccsce.2012.6487169openalex-snapshot
Bots and botnets: An overview of characteristics, detection and challenges
inferred← citeshttps://doi.org/10.1109/icoei.2019.8862547openalex-snapshot
Detection of Spyware in Software Using Virtual Environment
inferred← citeshttps://doi.org/10.1109/icsmc.2012.6377944openalex-snapshot
PUPDroid - Personalized user privacy mechanism for android
inferred← citeshttps://doi.org/10.1109/iraniancee.2015.7146207openalex-snapshot
A distributed patching scheme for controlling mobile malware infection
inferred← citeshttps://doi.org/10.1109/iscturkey51113.2020.9308016openalex-snapshot
Improving the Individual Verification of Estonian Internet Voting Scheme
inferred← citeshttps://doi.org/10.1109/iswta.2014.6981187openalex-snapshot
A data collection approach for Mobile Botnet analysis and detection
inferred← citeshttps://doi.org/10.1109/iwqos.2016.7590446openalex-snapshot
TrafficAV: An effective and explainable detection of mobile malware behavior using network traffic
inferred← citeshttps://doi.org/10.1109/ngmast.2014.57openalex-snapshot
Malware Detection Using Network Traffic Analysis in Android Based Mobile Devices
inferred← citeshttps://doi.org/10.1109/nsyss.2015.7043530openalex-snapshot
Malware detection in Android by network traffic analysis
inferred← citeshttps://doi.org/10.1109/prisms.2013.6927181openalex-snapshot
Security for smart mobile networks: The NEMESYS approach
inferred← citeshttps://doi.org/10.1109/sere-c.2013.35openalex-snapshot
Behavioral Analysis of Android Applications Using Automated Instrumentation
inferred← citeshttps://doi.org/10.1109/sin56466.2022.9970528openalex-snapshot
A Study of Permission-based Malware Detection Using Machine Learning
inferred← citeshttps://doi.org/10.1109/tetc.2015.2389662openalex-snapshot
Modeling and Analysis of RRC-Based Signalling Storms in 3G Networks
inferred← citeshttps://doi.org/10.1109/trustcom.2015.482openalex-snapshot
A Review of Free Cloud-Based Anti-Malware Apps for Android
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A Configurable and Extensible Security Service Architecture for Smartphones
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Reverse Engineering iOS Mobile Applications
inferred← citeshttps://doi.org/10.1142/s0218194019500116openalex-snapshot
Permission-based Android Malware Detection System Using Feature Selection with Genetic Algorithm
inferred← citeshttps://doi.org/10.1145/2659651.2659670openalex-snapshot
Current Trends and the Future of Metamorphic Malware Detection
inferred← citeshttps://doi.org/10.1145/2912160.2912186openalex-snapshot
Improving Security Awareness in the Government Sector
inferred← citeshttps://doi.org/10.12988/ces.2014.411226openalex-snapshot
Research on monitoring method of permission requests by mobile applications
inferred← citeshttps://doi.org/10.13052/jcsm2245-1439.321openalex-snapshot
Characterizing Evaluation Practices of Intrusion Detection Methods for Smartphones
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A Study on Deobfuscation Method of Android and Implementation of Automatic Analysis Tool
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Mobile Botnet Detection Model based on Retrospective Pattern Recognition
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Mobile app development : challenges and opportunities for automated support
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A Survey of Spam Detection Methods on Twitter
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A Survey on Smartphones Security: Software Vulnerabilities, Malware, and Attacks
inferred← citeshttps://doi.org/10.18185/erzifbed.806683openalex-snapshot
Hybroid: A Novel Hybrid Android Malware Detection Framework
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ANDROID KÖTÜCÜL YAZILIM TESPİTİ YAKLAŞIMLARI
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ANDROID MALWARE DETECTION BASED ON MACHINE LEARNING ANALYSIS OF TRAFFIC FEATURES
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Developing a Zen Click Fraud Detection Framework Using Smart Contracts
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Scalable analysis for malware and vulnerability detection in binaries
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Visualising Static Features and Classifying Android Malware Using a Convolutional Neural Network Approach
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A Comprehensive Review of Malware Detection Across Platforms: Evaluating Blockchain as Emerging Solutions
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The Company You Keep: Mobile Malware Infection Rates and Inexpensive Risk Indicators
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Taxonomy : Mobile Malware Threats and Detection Techniques
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Review on Mobile Threats and Detection Techniques
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What Static Analysis Can Utmost Offer for Android Malware Detection
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Android Malware Detection Using Auto-Regressive Moving-Average Model
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A Framework for Providing Selective Permissions to Android Applications
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