ANOMALY DETECTION IN WIRELESS SENSOR NETWORKS OF «SMART HOME» SYSTEM
Annotation
Subject of Research.The paper reviews the problem of anomaly detection in home automation systems. The authors define present security networks specificities and highlight the need of informational and physical impact detection on sensors aimed at information security. Method. Artificial neural network is proposed for anomaly detection. This method processes the data on characteristics of security network devices for anomalous behavior detection. The artificial neural network should be preliminarily trained on the data of that type. The implementation tools for the proposed method of anomaly detection are described. Main Results. The scenario has been created for the experiment so that the model of «Smart home» system produces the data of network information streams and the artificial neural network makes decisions based on this data. As a result, the training and testing sets have been created. The anomaly has been considered to be a state with the artificial neural network result less than 0.9. Based on the test results the artificial neural network determines the network node state with 91% precision. Practical Relevance. The proposed method can be used in information and security systems when connected devices should be monitored. Anomaly detection technology excludes inconspicuous violation of information confidentiality and integrity.
Keywords
Постоянный URL
Articles in current issue
- TWO-LENS AFOCAL COMPENSATOR FOR THERMAL DEFOCUS CORRECTION OF CATADIOPTRIC SYSTEM
- ATMOSPHERE PRESSURE EFFECT ON THE FIBER OPTIC GYROSCOPE OUTPUT SIGNAL
- CONTROL OF SCATTERING IN OPTICAL FIBER BY FIBER TWIST
- ALGORITHM FOR MOBILE ROBOT CROSS COUNTRY MOTION
- ALGORITHM FOR RESONANCE CONTROL OF IRON MASS FRACTION IN MAGNETITE ORE
- THEORETICAL ANALYSIS OF DYNAMIC SELECTION OF SWITCHING AUXILIARY OBJECTIVES ON XdivK PROBLEM
- ON RESTORATION OF SMEARED COLOR IMAGES
- IMAGE QUALITY ENHANCEMENT BY PROCESSING OF VIDEO FRAMES WITH DIFFERENT EXPOSURE TIME
- AUTOMATIC SECURITY ANALYSIS OF INFORMATION SYSTEMS INDEPENDENTLY OF FORMAL SPECIFICATIONS
- SECURITY MODEL OF MOBILE MULTI-AGENT ROBOTIC SYSTEMS WITH COLLECTIVE MANAGEMENT
- EFFECTIVENESS OF STEGANALYSIS BASED ON MACHINE LEARNING METHODS
- POST-INCIDENT INTERNAL AUDIT PROCEDURE OF COMPUTER DEVICES
- IMPROVED VISUAL ODOMETRY METHOD FOR SIMULTANEOUS UNMANNED AERIAL VEHICLE NAVIGATION AND EARTH SURFACE MAPPING
- FAST TEST ZONE SEARCH ALGORITHM FOR INTERFRAME ENCODING
- TREE SIMILARITY ESTIMATION BY CALCULATION OF pq-GRAM DISTANCE
- GENERATING DATASETS FOR THE BINARY CLASSIFICATION TASK BASED ON THEIR CHARACTERISTIC DESCRIPTIONS
- PARAMETER INTERVALITY OF REMOTE CONTROL SYSTEMS GENERATED WITH ERROR DETECTION MODE IN COMMUNICATION CHANNEL
- HEAT TRANSFER IN A CAVITY WITH ROTATING DISK IN TURBULENT REGIME
- MATHEMATICAL AND NUMERICAL MODELING OF FREE TURNING SEGMENTS OF SELF-REGULATED STATIC-DYNAMIC GAS BEARING
- NUMERICAL ANALYSIS METHODS OF SOFTWARE TEST EFFICIENCY
- ON THE SIMULATION PARADIGM ANALYSIS
- SMART LASER HEAD
- NEW DESIGN METHOD OF OUTPUT ROBUST CONTROL ALGORITHMS