Machine Learning-based Android Intrusion Detection System
The android operating system is being installed in most of the smart devices. The introduction of intrusions in such operating systems is rising at a tremendous rate. With the introduction of such malicious data streams, the smart devices are being subjected to various attacks like Phishing, Spyware, SMS Fraud, Bots and Banking-Trojans and many such. The application of machine learning classification algorithms for the security of android APK files is used in this paper. Each apk data stream was marked to be either malicious or non malicious on the basis of different parameters. The machine learning classification techniques are then used to classify whether the newly installed applications' signature falls within the malicious or non-malicious domain. If it falls within the malicious category, appropriate action can be taken, and the Android operating system can be shielded against illegal activities.
Code (0)
등록된 구현이 없습니다.
Tasks
Intrusion DetectionMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
A short review on Applications of Deep learning for Cyber security
Deep learning is an advanced model of traditional machine learning. This has the capability to extract optimal feature representation from raw input samples. This has been applied towards various use cases in cyber secur…
Android Malware DetectionBIG-bench Machine LearningDeep LearningGeneral Classification+3DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture
The Intent in Android plays an important role in inter-process and intra-process communications. The implicit Intent that an application could accept are declared in its manifest and are amongst the easiest feature to ex…
Deep LearningIntrusion DetectionPiBase: An IoT-based Security System using Raspberry Pi and Google Firebase
Smart environments are environments where digital devices are connected to each other over the Internet and operate in sync. Security is of paramount importance in such environments. This paper addresses aspects of autho…
Face DetectionFace RecognitionData Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection
Intrusion detection is an essential task in the cyber threat environment. Machine learning and deep learning techniques have been applied for intrusion detection. However, most of the existing research focuses on the mod…
BIG-bench Machine LearningIntrusion DetectionIdentification of Significant Permissions for Efficient Android Malware Detection
Since Google unveiled Android OS for smartphones, malware are thriving with 3Vs, i.e. volume, velocity, and variety. A recent report indicates that one out of every five business/industry mobile application leaks sensiti…
Android Malware DetectionBIG-bench Machine LearningMalware Detection