Abstract: Context-aware security frameworks to detect malicious behavior in a smart environment (e.g., a home, office, or other building) are provided. The framework can address the emerging threats to smart environments by observing the changing patterns of the conditions (e.g., active/inactive) of smart entities (e.g., sensors and other devices) of the smart environment for different user activities, and building a contextual model to detect malicious activities in the smart environment.

Abstract: A smart device can include a data oriented sensor providing a numerical value, a logic oriented sensor providing a state, a sensor value collector connected to the data oriented sensor, a sensor logic state detector connected to the logic oriented sensor, a data processor connected to the sensor value collector and the sensor logic state detector, and a data analyzer connected to the data processor. The data processor can take the numerical value received from the sensor value collector, calculate an average value from the numerical value, sample the state receiving from the sensor logic state detector, and create an input matrix by using the average value and the sampled state. The data analyzer can receive the input matrix, train an analytical model, and check a data to indicate whether a state of the smart device is malicious or not.

Abstract: A smart device can include a data oriented sensor providing a numerical value, a logic oriented sensor providing a state, a sensor value collector connected to the data oriented sensor, a sensor logic state detector connected to the logic oriented sensor, a data processor connected to the sensor value collector and the sensor logic state detector, and a data analyzer connected to the data processor. The data processor can take the numerical value received from the sensor value collector, calculate an average value from the numerical value, sample the state receiving from the sensor logic state detector, and create an input matrix by using the average value and the sampled state. The data analyzer can receive the input matrix, train an analytical model, and check a data to indicate whether a state of the smart device is malicious or not.