To solve security problems in cross-technology communication(CTC),we take the Internet of Things(IoT)control system as an example,and propose a comprehensive solution against the attack on the physical layer CTC from ...To solve security problems in cross-technology communication(CTC),we take the Internet of Things(IoT)control system as an example,and propose a comprehensive solution against the attack on the physical layer CTC from ZigBee to Wi-Fi.Specifically,we propose a noise interference strategy by adding an appropriate amount of dedicated noise signals,which can interfere with the eavesdropping and simulation of ZigBee signals without affecting the reception of the receiver.Moreover,we also propose a regression modeling strategy which collects data,extracts features,and trains a binary logistic regression model so that the receiver can actively distinguish simulated attack signals.We build the experimental platform by using GNU Radio and USRP devices.Experimental results demonstrate that the security defense strategies can identify and distinguish the signals from the attacker with a high accuracy,effectively solving the signal emulation attack on the physical layer CTC from ZigBee to Wi-Fi.展开更多
The exponentially increasing number of heterogeneous Internet of Things(Io T)devices(e.g.,Wi Fi and Zig Bee)crowed in the same ISM band(2.4 G)and recent advances in CrossTechnology Communications(CTC)motivate us to ex...The exponentially increasing number of heterogeneous Internet of Things(Io T)devices(e.g.,Wi Fi and Zig Bee)crowed in the same ISM band(2.4 G)and recent advances in CrossTechnology Communications(CTC)motivate us to explore more efficient data collection and maximize network throughput.CTC enables Wi Fi and Zig Bee devices to communicate directly without any hardware changes or gateway equipment,which sheds light on a more efficient data collection design.In this work,we propose a distributed algorithm,named Max Bee,to compute the maximum network throughput,which is formulated as a linear programming problem.Considering that the problem turns out to be non-convex and hard to solve exactly,we propose a distributed algorithm to solve nonlinear programming by using the dual decomposition method and gradient/subgradient algorithms.Through extensive simulations on different sets of deployed Zig Bee and Wi Fi devices,we observe that the proposed algorithm significantly increases the network throughput based on CTC for Sensor Networks.展开更多
文摘To solve security problems in cross-technology communication(CTC),we take the Internet of Things(IoT)control system as an example,and propose a comprehensive solution against the attack on the physical layer CTC from ZigBee to Wi-Fi.Specifically,we propose a noise interference strategy by adding an appropriate amount of dedicated noise signals,which can interfere with the eavesdropping and simulation of ZigBee signals without affecting the reception of the receiver.Moreover,we also propose a regression modeling strategy which collects data,extracts features,and trains a binary logistic regression model so that the receiver can actively distinguish simulated attack signals.We build the experimental platform by using GNU Radio and USRP devices.Experimental results demonstrate that the security defense strategies can identify and distinguish the signals from the attacker with a high accuracy,effectively solving the signal emulation attack on the physical layer CTC from ZigBee to Wi-Fi.
基金supported by The Project funded by China Postdoctoral Science Foundation(Grant No.2018T110505,2017M611828)The Priority Academic Program Development(PAPD)of Jiangsu Higher Education Institutions。
文摘The exponentially increasing number of heterogeneous Internet of Things(Io T)devices(e.g.,Wi Fi and Zig Bee)crowed in the same ISM band(2.4 G)and recent advances in CrossTechnology Communications(CTC)motivate us to explore more efficient data collection and maximize network throughput.CTC enables Wi Fi and Zig Bee devices to communicate directly without any hardware changes or gateway equipment,which sheds light on a more efficient data collection design.In this work,we propose a distributed algorithm,named Max Bee,to compute the maximum network throughput,which is formulated as a linear programming problem.Considering that the problem turns out to be non-convex and hard to solve exactly,we propose a distributed algorithm to solve nonlinear programming by using the dual decomposition method and gradient/subgradient algorithms.Through extensive simulations on different sets of deployed Zig Bee and Wi Fi devices,we observe that the proposed algorithm significantly increases the network throughput based on CTC for Sensor Networks.
