On the Quadruple Qualities of Marxist Thought on Human Rights

Marxist human rights thought has realized an epochmaking change in human rights thought and has distinguished itself from capitalist human rights thought with its distinctive character.Marxist human rights thought has a humanistic character,starts from human nature and its essence,regards human rights as an important means to realize the all-round development of human beings and the fundamental proof of human liberation.Marxist human rights thought is characterized by being people-centered,and expresses the desire of the masses,with the proletariat as the main body,to realize a better life through the guarantee of human rights.Marxist human rights thought has a practical character,is based on practical materialism,advocates that human rights are derived from the social practice and promotes social practice toward civilization and progress.Marxist human rights thought has the character of rule of law,guides legal governance to the rule of good law,and lays the guarantee fot human rights on the foundation of substantive rule of law.

Droid Detector:Android Malware Characterization and Detection Using Deep Learning

Smartphones and mobile tablets are rapidly becoming indispensable in daily life. Android has been the most popular mobile operating system since 2012. However, owing to the open nature of Android, countless malwares are hidden in a large number of benign apps in Android markets that seriously threaten Android security. Deep learning is a new area of machine learning research that has gained increasing attention in artificial intelligence. In this study, we propose to associate the features from the static analysis with features from dynamic analysis of Android apps and characterize malware using deep learning techniques. We implement an online deep-learning-based Android malware detection engine（Droid Detector） that can automatically detect whether an app is a malware or not. With thousands of Android apps, we thoroughly test Droid Detector and perform an indepth analysis on the features that deep learning essentially exploits to characterize malware. The results show that deep learning is suitable for characterizing Android malware and especially effective with the availability of more training data. Droid Detector can achieve 96.76% detection accuracy, which outperforms traditional machine learning techniques. An evaluation of ten popular anti-virus softwares demonstrates the urgency of advancing our capabilities in Android malware detection.