SHAPE: An APT detection framework fusing semantic understanding and heterogeneous modeling
Abstract Most dynamic Intrusion Response Systems (IRSs) use models to characterize the attack patterns and the dynamics of the protected system. They are typically based on some mathematical framework and require a low-level modeling activity that is often difficult and error-prone, even for the experienced end-user. Furthermore, most of the model-based approaches proposed so far […]
Defending against BLE-based covert channels in crowdsourced location networks
Abstract Most dynamic Intrusion Response Systems (IRSs) use models to characterize the attack patterns and the dynamics of the protected system. They are typically based on some mathematical framework and require a low-level modeling activity that is often difficult and error-prone, even for the experienced end-user. Furthermore, most of the model-based approaches proposed so far […]
From attack trees to timed stochastic games: A novel intrusion response approach
Abstract Most dynamic Intrusion Response Systems (IRSs) use models to characterize the attack patterns and the dynamics of the protected system. They are typically based on some mathematical framework and require a low-level modeling activity that is often difficult and error-prone, even for the experienced end-user. Furthermore, most of the model-based approaches proposed so far […]
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