Hidden Electricity Theft by Exploiting Multiple-Pricing Scheme in Smart Grids

Liu, Yang; Liu, Ting; Sun, Hong; Zhang, Kehuan; Liu, Pengfei

doi:10.1109/tifs.2020.2965276

Cited by 40 publications

(18 citation statements)

References 26 publications

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“…The proposed attack detection approach implemented a spike in neural network for dynamic detection of attacks but it has major limitation of learning the data, which affects the accuracy of the approach. Authors in [17] proposed an approach to detect hidden electricity theft by exploiting multiple pricing schemes in smart grids. The purpose and possibilities of hidden electricity theft were addressed, and an optimization problem was proposed to increase the detection of these types of attacks, and two algorithms were designed to overcome these attacks.…”

Section: Related Workmentioning

confidence: 99%

Blockchain-Based SQKD and IDS in Edge Enabled Smart Grid Network

Alkhiari¹,

Mishra²,

Alshehri³

2022

Computers, Materials &Amp; Continua

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Smart Grid is a power grid that improves flexibility, reliability, and efficiency through smart meters. Due to extensive data exchange over the Internet, the smart grid faces many security challenges that have led to data loss, data compromise, and high power consumption. Moreover, the lack of hardware protection and physical attacks reduce the overall performance of the smart grid network. We proposed the BLIDSE model (Blockchain-based secure quantum key distribution and Intrusion Detection System in Edge Enables Smart Grid Network) to address these issues. The proposed model includes five phases: The first phase is blockchain-based secure user authentication, where all smart meters are first registered in the blockchain, and then the blockchain generates a secret key. The blockchain verifies the user ID and the secret key during authentication matches the one authorized to access the network. The secret key is shared during transmission through secure quantum key distribution (SQKD). The second phase is the lightweight data encryption, for which we use a lightweight symmetric encryption algorithm, named Camellia. The third phase is the multi-constraint-based edge selection; the data are transmitted to the control center through the edge server, which is also authenticated by blockchain to enhance the security during the data transmission. We proposed a perfect matching algorithm for selecting the optimal edge. The fourth phase is a dual intrusion detection system which acts as a firewall used to drop irrelevant packets, and data packets are classified into normal, physical errors and attacks, which is done by Double Deep Q Network (DDQN). The last phase is optimal user privacy management. In this phase, smart meter updates and revocations are done, for which we proposed Forensic based Investigation Optimization (FBI), which improves the security of the smart grid network. The simulation is performed using network simulator NS3.26, which evaluates the performance in terms of computational complexity, accuracy, false detection, and false alarm rate. The proposed BLIDSE

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Section: Related Workmentioning

confidence: 99%

Blockchain-Based SQKD and IDS in Edge Enabled Smart Grid Network

Alkhiari¹,

Mishra²,

Alshehri³

2022

Computers, Materials &Amp; Continua

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“…PowerNet [142] Modelica NS2 Marching-on-intime Generator control VPNET [143] VTB OPNET Marching-on-intime Wide area monitoring, protection and control GECO [144] PSLF NS2 Global event-driven Wide area monitoring, protection and control INSPIRE [145] DIgSILENT OPNET Marching-on-intime Wide area monitoring, protection and control SGsim [146] OpenDSS OMNeT++ Global [167] . 文献 [168] 研究了短信服务网络钓鱼攻击对电力需求响应程序的威胁, 可能导致大规模连锁停电.…”

Section: 协同仿真mentioning

confidence: 99%

Power system security simulation technologies: engineering safety, network security and cyber-physical integrated security

Wang¹,

Liu²,

Bao³

et al. 2022

Sci. Sin.-Inf.

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Aiming at power system security threats such as failures and external attacks, power system security simulation technologies study system behaviors through simulation experiments or numerical calculation. As information technologies such as automatic control, network communication, and artificial intelligence are widely used, power system has developed into an cyber-physical system(CPS) which is deeply coupled by physical system and information system.The faults caused by physical damage or network attack are interrelated in the power system and can spread across domains, which result in new security threats. Power system security simulation is facing new challenges. This paper reviews security incidents with significant impact on the power system in the past, and analyzes the requirement and development of power system security simulation technologies from three dimensions, i.e., engineering security, network security, and cyber-physical integrated security. From these dimensions, the representative security simulation testbeds are classified and summarized. Moreover, the challenges and development trends of power system security simulation technologies are explored.

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“…The undeniable perks of IoT are amalgamated with serious security pitfalls, mainly due to constrained devices, manufacturers primary priority is not security and lack of legislation [5]. Poorly designed IoT devices allow attackers to carry out their nefarious actions; attacks on medical implantable devices [6], smart cars [7], smart toys [8], unauthorized access of voice recordings [11], smart meters attacks [10] etc. The insecurity of these connected devices not only a potential threat for IoT but also for the whole internet.…”

Section: Introductionmentioning

confidence: 99%

IoT-Sphere: A Framework To Secure IoT Devices From Becoming Attack Target And Attack Source

Husnain

Fayyaz

Shahzad

et al. 2021

Preprint

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In this research we propose a framework that will strengthen the IoT devices security from dual perspectives; avoid devices to become attack target as well as a source of an attack. Unlike traditional devices, IoT devices are equipped with insufficient host-based defense system and a continuous internet connection. All time internet enabled devices with insufficient security allures the attackers to use such devices and carry out their attacks on rest of internet. When plethora of vulnerable devices become source of an attack, intensity of such attacks increases exponentially. Mirai was one of the first well-known attack that exploited large number of vulnerable IoT devices, that bring down a large part of Internet. To strengthen the IoT devices from dual security perspective, we propose a two step framework. Firstly, confine the communication boundary of IoT devices; IoT-Sphere. A sphere of IPs that are allowed to communicate with a device. Any communication that violates the sphere will be blocked at the gateway level. Secondly, only allowed communication will be evaluated for potential attacks and anomalies using advance detection engines. To show the effectiveness of our proposed framework, we perform couple of attacks on IoT devices; camera and google home and show the feasibility of IoT-Sphere.

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Hidden Electricity Theft by Exploiting Multiple-Pricing Scheme in Smart Grids

Cited by 40 publications

References 26 publications

Blockchain-Based SQKD and IDS in Edge Enabled Smart Grid Network

Blockchain-Based SQKD and IDS in Edge Enabled Smart Grid Network

Power system security simulation technologies: engineering safety, network security and cyber-physical integrated security

IoT-Sphere: A Framework To Secure IoT Devices From Becoming Attack Target And Attack Source

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