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A Novel Dynamic Android Malware Detection System With Ensemble Learning

₹12500-37500 INR

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已发布超过 5 年前

₹12500-37500 INR

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With the popularity of Android smartphones, malicious applications targeted Android plat- form have explosively increased. Proposing effective Android malware detection method for preventing the spread of malware has become an emerging issue. Various features extracted through static and dynamic analysis in conjunction with machine learning algorithm have been the mainstream in large-scale malware identification. In general, static analysis becomes invalid in detecting applications which adopt sophisticated obfuscation techniques like encryption or dynamic code loading. However, dynamic analysis is suitable to deal with these evasion techniques. In this paper, we propose an effective dynamic analysis framework, called EnDroid, in the aim of implementing highly precise malware detection based on multiple types of dynamic behavior features. These features cover system-level behavior trace and common application-level malicious behaviors like personal information stealing, premium service subscription,and malicious service communication. In addition, EnDroid adopts feature selection algorithm to remove noisy or irrelevant features and extracts critical behavior features. Extracting behavior features through runtime monitor, EnDroid is able to distinguish malicious from benign applications with ensemble learning algorithm. Through experiments, we prove the effectiveness of EnDroid on two datasets. Furthermore, we find Stacking achieves the best classification performance and is promising in Android malware detection.
项目 ID: 17804284

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Hello Sir, How are you ? we're already skilled and experienced with your Desired skills. If you Consider us to full fill your job then we will try our best level. We're looking forward to some feedback from you. Thanks & Regards Sunetra D
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Hello' as per your requirement i am 3 year exp developer. please message me more to discuss the specified work. Thanks regards
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Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machine learning/Deep Learning, Image processing and Signal processing. I have knowledge and understanding of state of the art machine learning algorithms like SVM, neaural networks as well as basic algos like KNN and clustering. I have also worked with sklearn and keras in PYTHON. I have experience with tensorflow,Keras,Pytorch and a ot of other ML libraries. I have recently organized a bootcamp on AI and machine learning in my university. Due to my vast coding experience , I can handle your project with quality work. Kindly share some more details so that I can offer the exact solution to your problem. Regards
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