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内部出版物

SpringerLink电子期刊(17)

ProQuest学位论文(2)

Elsevier电子期刊(7)

在“SpringerLink电子期刊”中，命中：17条，耗时：0.1169452 秒

在所有数据库中总计命中：26条

1. Android based mobile apps for information security hands-on education

作者： Zouheir Trabelsi ; Mohammed Al Matrooshi…

关键词：Information security education ; Android apps ; Firewall ; Security hands ; on labs ; Android based learning approach ; Network packet generator

刊名：Education and Information Technologies

出版年：2017

2. MalProfiler: Automatic and Effective Classification of Android Malicious Apps in Behavioral Classes

刊名：Lecture Notes in Computer Science

出版年：2017

3. Empirical assessment of machine learning-based malware detectors for Android

作者： Kevin Allix ; Tegawendé F. Bissyandé ; Quentin Jérome…

关键词：Machine learning ; Ten ; Fold ; Malware ; Android

刊名：Empirical Software Engineering

出版年：2016

4. Evaluation of machine learning classifiers for mobile malware detection

作者： Fairuz Amalina Narudin ; Ali Feizollah ; Nor Badrul Anuar ; Abdullah Gani

关键词：Intrusion detection system ; Machine learning ; Android malware detection ; Anomaly based ; Mobile device

刊名：Soft Computing - A Fusion of Foundations, Methodologies and Applications

出版年：2016

5. MBotCS: A Mobile Botnet Detection System Based on Machine Learning

关键词：Android ; Mobile botnet ; Security ; Machine learning

刊名：Lecture Notes in Computer Science

出版年：2016

6. An Approach to Sentiment Analysis for Mobile Speech Applications

关键词：Sentiment Analysis ; Emotion ; Speech interaction ; Mobile devices ; Android

刊名：Lecture Notes in Computer Science

出版年：2016

7. Prioritizing Test Cases for Memory Leaks in Android Applications

作者： Ju Qian ; Di Zhou

关键词：Android ; memory leak ; test case prioritization ; test execution

刊名：Journal of Computer Science and Technology

出版年：2016

8. On Robust Malware Classifiers by Verifying Unwanted Behaviours

关键词：Mobile security ; Static analysis ; Software verification ; Machine learning ; Malware detection

刊名：Lecture Notes in Computer Science

出版年：2016

9. Android Malware Detection Based on Software Complexity Metrics

作者：Mykola Protsenko (18)
Tilo Müller (18)

刊名：Lecture Notes in Computer Science

出版年：2014

10. Intelligent Promotions Recommendation System for Instaprom Platform

作者：Marcos Martín Pozo (18)
José Antonio Iglesias (18)
Agapito Ismael Ledezma (18)

关键词：marketing ; artificial intelligence ; machine learning ; recommendation systems ; marketing segmentation

刊名：Lecture Notes in Computer Science

出版年：2014

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