[PDF] Top 20 Android Malware Detection Using Category-Based Machine Learning Classifiers
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Android Malware Detection Using Category-Based Machine Learning Classifiers
... its category. Android apps stores organize apps into dif- ferent categories; for example, Google play store organizes apps in 26 categories such as: ”Health & Fitness”, ”News & Magazine”, ”Books & ... See full document
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Android Malware Detection Using Parallel Machine Learning Classifiers
... Abstract—Mobile malware has continued to grow at an alarming rate despite on-going mitigation ...on Android due to being an open platform that is rapidly overtaking other competing platforms in the mobile ... See full document
7
Machine Learning-Based Malware Detection for Android Applications: History Matters!
... 476 malware and 561 goodware, the second one containing 1 651 malware and 1 971 good- ...10-fold classifiers achieved higher performance ...a malware de- tector based on a sophisticated ... See full document
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A Study of Android Malware Detection Techniques and Machine Learning
... droid malware analysis sandbox ANDRUBIS to provide users with a risk assessment for an ...Calls based on used-permission, reflection API, cryp- tographic API, dynamic loading of code are combined with ... See full document
9
Machine Learning Techniques for Android Malware Detection and Categorization
... SVM Based Classification: SVM is a strategy for information characterization; it can create a nonlinear hyper plane and orders information which has non-customary dissemination based on binary vector ... See full document
6
Machine learning techniques for android malware detection and classification
... t Machine learning classification algorithms are widely applied to different malware analysis problems be- cause of their proven abilities to learn from examples and perform relatively well with ... See full document
170
Malware Detection Using Machine Learning
... ABSTRACT Malware is any software or a computer program that performs malicious actions on a legitimate user’s computer system such as information stealing and ...of malware attacks is rapidly increasing, ... See full document
5
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning
... of malware anti-emulation and environmental shortcomings of emulators which affect anal- ysis efficiency, it is important to develop more effective ma- chine learning device based detection ... See full document
8
Experimental comparison of features and classifiers for Android malware detection
... hand, based on the results, we believe that sequence features are generally harder to train ...deep learning classifiers, ...the classifiers for training with API sequence features, and we ... See full document
12
Android Malware Detection through Machine Learning Techniques: A Review
... Conclusion Android Operating System remains an opened platform with lots of rising mobile device hardware manufacturers adopting it as the main OS for their ...these malware. All these secu- rity threats ... See full document
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Review on Machine Learning Techniques for Android Malware Detection and Categorization
... SVM Based Classification: SVM is a strategy for information characterization; it can create a nonlinear choice plane and orders information which has non-customary ...records using dynamic sort mechanism, ... See full document
6
A Survey on Machine Learning Techniques for Android Malware Detection and Categorization
... ABSTRACT: Malware identification is an essential factor in the security of the android ...mark based strategies can't give precise identification of zero-day assaults and polymorphic infections, ... See full document
8
Mining Based Learning Framework for Android Malware Detection
... concern. Android security solution providers report an alarming rise of malware from just three families and mere 100 samples in 2010, to more than hundred families with ...are using clever ways to ... See full document
5
Malware Detection & Prevention in Android Mobile by using Significant Permission Identification & Machine Learning
... “Detecting android malware leveraging text semantics of network flows,” IEEE Transactions on Information Forensics and Security, ...quick malware delivery causes current malware ... See full document
8
Android Malware Detection Using Deep Eigenspace Learning
... source android smartphone package is adept of executing the multifarious and enormous application that will increase the installation of various applications with increase in probability of installation of ... See full document
6
Detection of Malware Using Machine Learning Algorithms
... the Android phones and that malware cause harm to user ...new malware and ...by using binary problem, this paper represent the method for feature extraction of java source ...calls, ... See full document
5
Malware Analysis on Android Using Supervised Machine Learning Techniques
... of malware resulted in the domain of malware analysis and detection in Android ...devices. Android, a mobile-based operating system currently having more than one billion active ... See full document
11
Opcode Frequency Based Malware Detection Using Hybrid Classifiers
... money using a computer-based ...services using the ...cyber-criminals. Malware is an all- inclusive ...crime. Malware can damage a computer system in multiple ...anti- malware ... See full document
16
Machine learning aided android malware classification
... 95.6% using the ensemble learning method are comparable with 350 existing state-of-the art ...the Android device to be rooted. However, our permission-based approach can run on Android ... See full document
21
Machine learning aided Android malware classification
... Abstract Malware have been used as a means for conducting cyber attacks for ...for malware devel- opers. Android as the dominant mobile operating system has always been an interesting platform for ... See full document
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