which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper presents SmartMal—anovel service-oriented behavioralmalware detection framework for vehicular andmobile devices. The highlight of SmartMal is to introduce service-oriented architecture (SOA) concepts and behavior analysis into the malware detection paradigms.The proposed framework relies on client-server architecture, the client continuously extracts various features and transfers them to the server, and the server’s main task is to detect anomalies using state-of-art detection algorithms. Multiple distributed servers simultaneously analyze the feature vector using various detectors and information fusion is...
In few years Android has become the most widespread operating system among mobile devices. Its extre...
Android offers plenty of services to mobile users and has gained significant popularity worldwide. T...
The fast growth in the number of Android smartphone users and the lack of suitable malware detection...
This paper presents SmartMal—a novel service-oriented behavioral malware detection framework for veh...
Malware in smartphones is growing at a significant rate. There are currently more than 250 million s...
Due to the increased number of mobile devices, they are integrated in every dimension of our daily l...
This paper analyzes different Android malware detection techniques from several research papers, som...
Recent advances in Smartphone technology led to rapid development of mobile applications that closel...
Smartphones play an important role in our day to day activities. Some of them include monitoring ou...
Anti-mobile malware has attracted the attention of the research and security community in recentyear...
Abstract — The Android platform is the fastest growing market in smartphone operating systems to dat...
Android users are constantly threatened by an increasing number of malicious applications (apps), ge...
This paper describes the techniques used to detect Android malware using a machine learning approach...
This paper analyzes different Android malware detection techniques from several research papers, som...
Currently, in the smartphone market, Android is the platform with the highest share. Due to this pop...
In few years Android has become the most widespread operating system among mobile devices. Its extre...
Android offers plenty of services to mobile users and has gained significant popularity worldwide. T...
The fast growth in the number of Android smartphone users and the lack of suitable malware detection...
This paper presents SmartMal—a novel service-oriented behavioral malware detection framework for veh...
Malware in smartphones is growing at a significant rate. There are currently more than 250 million s...
Due to the increased number of mobile devices, they are integrated in every dimension of our daily l...
This paper analyzes different Android malware detection techniques from several research papers, som...
Recent advances in Smartphone technology led to rapid development of mobile applications that closel...
Smartphones play an important role in our day to day activities. Some of them include monitoring ou...
Anti-mobile malware has attracted the attention of the research and security community in recentyear...
Abstract — The Android platform is the fastest growing market in smartphone operating systems to dat...
Android users are constantly threatened by an increasing number of malicious applications (apps), ge...
This paper describes the techniques used to detect Android malware using a machine learning approach...
This paper analyzes different Android malware detection techniques from several research papers, som...
Currently, in the smartphone market, Android is the platform with the highest share. Due to this pop...
In few years Android has become the most widespread operating system among mobile devices. Its extre...
Android offers plenty of services to mobile users and has gained significant popularity worldwide. T...
The fast growth in the number of Android smartphone users and the lack of suitable malware detection...