Abstract
Reactive jamming attacks have been considered as one of the most lethal and disruptive threats to subvert or disrupt wireless networks since they attack the broadcast nature of transmission mediums by injecting interfering signals. Existing countermeasures for the Internet against reactive jamming attacks, i.e., channel surfing or frequency hopping, demands excessive computing resources, which are infeasible on the low cost resource constraint of the electrical devices in the Smart Grid wireless mesh networks. Even these are inadequate protect approaches to the control systems where the availability is the major security priority to achieve. To overcome the problems for normal lower computation power electrical devices in the Smart Grid wireless mesh networks with difference security triad from the Internet, we propose an efficient localized jamming-resistant countermeasure against the jamming attacks by the identification of trigger nodes whose wireless signal invokes the jammer in the grid. By constraining the trigger nodes to be receivers only, we can avoid the activation of the jammers and completely nullify the reactive jamming attack. The triggers identification approach utilizes a hexagon tiling coloring and sequential Group Testing (GT), which does not demand any sophisticated hardware. Theoretical analyses and simulation results endorse the suitability of our localized algorithm in terms of message and time complexity.
Highlights
The Smart Grid propels the transition from the traditional and conventional electrical power grid into the modern grid by solving the issues of increasing demand on electrical energy, unidirectional power/information delivery, energy wastage and resilience on the power grids
An intensive series of experimental simulations has been conducted in order to validate the theoretical proof and the effectiveness of the TNI algorithm against the feasible reactive jamming threat in the Smart Grid wireless mesh networks
The round of group testing is averaged from the network configuration with a varying number of wireless devices n ∈ [1000, 5000] in Figure 5a, which indicates the computational latency of TNI-Sequential Group Testing (SGT)
Summary
The Smart Grid propels the transition from the traditional and conventional electrical power grid into the modern grid by solving the issues of increasing demand on electrical energy, unidirectional power/information delivery, energy wastage and resilience on the power grids. The dramatic transition over the demand on the electrical energy from the tremendous and rapid increasing number of electronic devices since 1970 has caused the increasingly serious energy shortage and carbon emission in power systems. The advent of Smart Grid paradigm has appeared as a promising model of advanced power grid that would be constructed over the existing grid with a variety of information and communication technologies. The Smart Grid realized by bi-directional communication technologies would achieve the improvement of the effectiveness, efficiency, reliability, security, sustainability, stability and scalability over the traditional power grid systems [1].
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