Current drainage induced by bias injection attack against Kalman filter of BLDC motor

Boiko, Yu. I.; Kiringa, Iluju; Yeap, Tet Hin

doi:10.1109/csr54599.2022.9850310

Cited by 4 publications

(8 citation statements)

References 7 publications

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“…The present article extends previously proposed by the authors concept of cyber attack against Cyber-Physical Systems (CPS) with interactive guidance of the targeted system into state of increased vulnerability [1]. The concept is further extended into domain of the defense development, thus contributing to the development of cyber-security for Industrial Control Systems (ICS) and Cyber-Physical Systems (CPS) connected to cyberspace [3].…”

Section: Introductionmentioning

confidence: 62%

“…The modeling and simulation of injecting biased estimations of rotor angular speed values into the feedback loop of the BLDC motor control system (see architecture in Figure 1) revealed the occurrence of a current drainage effect in the motor's windings [1]. This effect is suggested to be a potential threat that cyber attackers could exploit to disrupt the normal operation of controlled motor systems.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Such disruption could result in excessive energy losses, overheating, power disruptions, and even circuit damage. The computational procedure used in that study [1] has been verified as suitable for use by an attacker in a manipulative game against such systems. This procedure involves employing a distortion tool to modify the feedback data stream values of angular velocity through multiplication with a distortion coefficient, denoted as χ (refer to [1]).…”

Section: Problem Formulationmentioning

confidence: 99%

“…The computational procedure used in that study [1] has been verified as suitable for use by an attacker in a manipulative game against such systems. This procedure involves employing a distortion tool to modify the feedback data stream values of angular velocity through multiplication with a distortion coefficient, denoted as χ (refer to [1]). As a logical extension of this consideration, there is a need to develop viable defense approaches capable of negating the impact of such an attack on the cyber-physical system in question.…”

Section: Problem Formulationmentioning

confidence: 99%

“…In the attack design, the attacker is assumed to gain access to the data stream of the Kalman filter's state parameter estimates. The attacker engages in a manipulation game with the system by modifying the data values for the rotor angular speed ω, thereby triggering a corrective response from the controller [1]. We also assume that the attacker is capable of ensuring the delivery of the modified ω values to the error verification node (i.e., the comparator), making it challenging for the controller and defense measures to prevent this.…”

Section: System Architecturesmentioning

confidence: 99%

See 4 more Smart Citations

Linear-Dynamic Predictor Based Defense Against Current Drainage Cyber Attack of BLDC Motor Control System

Boiko,

Kiringa,

Yeap

2024

Preprint

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Using modeling and simulation tools, we have demonstrated that the basic predictor module, which utilizes linear-dynamic predicting algorithms, has the potential to offer defense against bias injection type of cyber-attacks targeted at closed-loop-controlled systems, such as Kalman filter-driven brushless DC (BLDC) motors. Specifically verified is scenario of introduced earlier current drainage attack with full transparency for the defender, whose activity is shown to be able to counteract the manipulation game from the attacker. The attacker manipulation with distortion coefficient modifying angular speed estimates is shown to trigger significant growth of operating motor currents with accumulating effect on increasing speed of the rotor. Moreover, an abrupt termination of the attack is shown to result in even stronger currents increase in the forced braking process, creating potentially more damaging circuits overloads (to be called "attack withdrawal syndrome"). The defender is shown to be able to defeat the attacker within an asymmetric Stackelberg game relying on linear-dynamic predictor to preemptively compensate the distortion of the angular speed estimates. Demonstrated is potential for the defender to effectively negate the current drainage attack itself as well as its immediate consequence, such as attack withdrawal syndrome. Out of the reach for the defender remains the attack initiation impulse, whose damaging impact needs to be limited via dedicated algorithm with separate anomaly detector.

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Section: Introductionmentioning

confidence: 62%

Section: Problem Formulationmentioning

confidence: 99%