Malicious attacks on state estimation in multi-sensor dynamic systems

Lu, Jingyang; Niu, Ruixin

doi:10.1109/wifs.2014.7084309

Cited by 15 publications

(13 citation statements)

References 28 publications

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“…Recursive least square (RLS) algorithm is a common method applied to estimate the coefficients in Eq. ( 8) using historical data [46]- [47]. Let Y j = [γ 0,j , γ 1,j , • • • , γ L,j ] T denote the vector of price elasticity coefficients related to the j-th charging station.…”

Section: Charging Demand Estimationmentioning

confidence: 99%

Stochastic Dynamic Pricing for EV Charging Stations With Renewable Integration and Energy Storage

Luo

Huang

Gupta

2018

IEEE Trans. Smart Grid

190

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Abstract-This paper studies the problem of stochastic dynamic pricing and energy management policy for electric vehicle (EV) charging service providers. In the presence of renewable energy integration and energy storage system, EV charging service providers must deal with multiple uncertainties -charging demand volatility, inherent intermittency of renewable energy generation, and wholesale electricity price fluctuation. The motivation behind our work is to offer guidelines for charging service providers to determine proper charging prices and manage electricity to balance the competing objectives of improving profitability, enhancing customer satisfaction, and reducing impact on power grid in spite of these uncertainties. We propose a new metric to assess the impact on power grid without solving complete power flow equations. To protect service providers from severe financial losses, a safeguard of profit is incorporated in the model. Two algorithms -stochastic dynamic programming (SDP) algorithm and greedy algorithm (benchmark algorithm) -are applied to derive the pricing and electricity procurement policy. A Pareto front of the multiobjective optimization is derived. Simulation results show that using SDP algorithm can achieve up to 7% profit gain over using greedy algorithm. Additionally, we observe that the charging service provider is able to reshape spatial-temporal charging demands to reduce the impact on power grid via pricing signals.

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Section: Charging Demand Estimationmentioning

confidence: 99%

Stochastic Dynamic Pricing for EV Charging Stations With Renewable Integration and Energy Storage

Luo

Huang

Gupta

2018

IEEE Trans. Smart Grid

190

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“…In this paper, we consider attack surfaces [15][16][17] where an adversary compromises the underlying system by injecting a bias b ( ) (possibly time-varying and/or stochastic) into a subset of measurements at iteration . Based on the original measurement model (see (2)), the measurement model under the attack, therefore, is represented as follows:…”

Section: Problem Formulationmentioning

confidence: 99%

Attack Detection/Isolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems

2018

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Motivated by rapid growth of cyberphysical systems (CPSs) and the necessity to provide secure state estimates against potential data injection attacks in their application domains, the paper proposes a secure and innovative attack detection and isolation fusion framework. The proposed multisensor fusion framework provides secure state estimates by using ideas from interactive multiple models (IMM) combined with a novel fuzzy-based attack detection/isolation mechanism. The IMM filter is used to adjust the system's uncertainty adaptively via model probabilities by using a hybrid state model consisting of two behaviour modes, one corresponding to the ideal scenario and one associated with the attack behaviour mode. The state chi-square test is then incorporated through the proposed fuzzy-based fusion framework to detect and isolate potential data injection attacks. In other words, the validation probability of each sensor is calculated based on the value of the chi-square test. Finally, by incorporation of the validation probability of each sensor, the weights of its associated subsystem are computed. To be concrete, an integrated navigation system is simulated with three types of attacks ranging from a constant bias attack to a non-Gaussian stochastic attack to evaluate the proposed attack detection and isolation fusion framework.

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“…6 Other related work can also be found in the literature. ?, [7][8][9][10][11][12][13][14][15][16][17] The above structures and architectures consider the interface between hardware and software components as pre-defined options. The interface is defined as high speed bus between central processing unit (CPU) and field programmable gate array (FPGA) for data exchange.…”

Section: Introductionmentioning

confidence: 99%

An adaptive software defined radio design based on a standard space telecommunication radio system API

et al. 2017

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Software defined radio (SDR) has become a popular tool for the implementation and testing for communications performance. The advantage of the SDR approach includes: a re-configurable design, adaptive response to changing conditions, efficient development, and highly versatile implementation. In order to understand the benefits of SDR, the space telecommunication radio system (STRS) was proposed by NASA Glenn research center (GRC) along with the standard application program interface (API) structure. Each component of the system uses a well-defined API to communicate with other components. The benefit of standard API is to relax the platform limitation of each component for addition options. For example, the waveform generating process can support a field programmable gate array (FPGA), personal computer (PC), or an embedded system. As long as the API defines the requirements, the generated waveform selection will work with the complete system. In this paper, we demonstrate the design and development of adaptive SDR following the STRS and standard API protocol. We introduce step by step the SDR testbed system including the controlling graphic user interface (GUI), database, GNU radio hardware control, and universal software radio peripheral (USRP) tranceiving front end. In addition, a performance evaluation in shown on the effectiveness of the SDR approach for space telecommunication.

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Malicious attacks on state estimation in multi-sensor dynamic systems

Cited by 15 publications

References 28 publications

Stochastic Dynamic Pricing for EV Charging Stations With Renewable Integration and Energy Storage

Stochastic Dynamic Pricing for EV Charging Stations With Renewable Integration and Energy Storage

Attack Detection/Isolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems

An adaptive software defined radio design based on a standard space telecommunication radio system API

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