A Bayesian Algorithm to Enhance the Resilience of WAMS Applications Against Cyber Attacks

Khalid, Haris M.; Peng, Jimmy Chih-Hsien

doi:10.1109/tsg.2016.2544854

Cited by 93 publications

(26 citation statements)

References 23 publications

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“…The main drawbacks of the protection-based schemes are the unguaranteed effectiveness with the different operating conditions of the power grid and the extreme need for the measurement's redundancy [72]. Detection-based schemes utilize the Bayesian framework in detecting FDI attacks that would look like an anomaly among the set of measurements [73]. The main drawback of these schemes is the incapability of detecting FDI attacks that closely imitate the normal distribution of the measurements of the power grid which are also known as stealthy attacks [72].…”

Section: Blockchain Applications In Cyber-physical Securitymentioning

confidence: 99%

Blockchain Applications in Smart Grid–Review and Frameworks

2019

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Modern power systems face different challenges such as the ever-increasing electrical energy demand, the massive growth of renewable energy with distributed generations, the large-scale Internet of Things (IoT) devices adaptation, the emerging cyber-physical security threats, and the main goal of maintaining the system's stability and reliability. These challenges pose extreme pressure on finding advanced technologies and sustainable solutions for secure and reliable operations of the power system. The blockchain is one of the recent technologies that have gained lots of attention in different applications including smart grid for its uniqueness and decentralized nature. In the last few years, this technology grew a momentum specifically with the cryptocurrencies' industry such as the Bitcoin and Etherium. The Blockchain's applications in the smart grids could offer many innovative and affordable solutions to some of the challenges that the future and the current smart grids will be facing. This paper reviews different prospects, advantages, approaches, and technical challenges of utilizing the blockchain technology in the smart grid, and presents frameworks for key smart grid blockchain-based applications; more specifically, it is shown that how the blockchain can be used as the smart grid's cyber-physical layer. INDEX TERMS Blockchain applications, cyber-physical security, energy trading, electric vehicles, microgrid monitoring and control, smart grids.

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Section: Blockchain Applications In Cyber-physical Securitymentioning

confidence: 99%

Blockchain Applications in Smart Grid–Review and Frameworks

2019

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“…If the attacker successfully launches an attack by manipulating or injecting false data either in the measurements or the control signals to the energy internet, it may lead to the wrong decision of the control center and eventually cause the chain failure. Countermeasures against FDI attacks are classified in the literature into protection-based methods [32] and detection-based methods [33]. However, when FDI attacks closely imitating the normal distribution of the measurements, these methods have the incapability of detecting the attacks [34].…”

Section: Information Security Requirements Of the System Operation Layermentioning

confidence: 99%

Blockchain Technology for Information Security of the Energy Internet: Fundamentals, Features, Strategy and Application

Zeng

Cao

et al. 2020

Energies

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In order to ensure the information security, most of the important information including the data of advanced metering infrastructure (AMI) in the energy internet is currently transmitted and exchanged through the intranet or the carrier communication. The former increases the cost of network construction, and the latter is susceptible to interference and attacks in the process of information dissemination. The blockchain is an emerging decentralized architecture and distributed computing paradigm. Under the premise that these nodes do not need mutual trust, the blockchain can implement trusted peer-to-peer communication for protecting the important information by adopting distributed consensus mechanisms, encryption algorithms, point-to-point transmission and smart contracts. In response to the above issues, this paper firstly analyzes the information security problems existing in the energy internet from the four perspectives of system control layer, device access, market transaction and user privacy. Then blockchain technology is introduced, and its working principles and technical characteristics are analyzed. Based on the technical characteristics, we propose the multilevel and multichain information transmission model for the weak centralization of scheduling and the decentralization of transaction. Furthermore, we discuss that the information transmission model helps solve some of the information security issues from the four perspectives of system control, device access, market transaction and user privacy. Application examples are used to illustrate the technical features that benefited from the blockchain for the information security of the energy internet.

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“…However, there are two problems: The results are as follows: (1) the size of the time period is given randomly by people, which cannot represent the security and real-time performance of the current network; (2) the state transition matrix and the observation symbol matrix are usually determined by experience and have strong abstractness. To solve this problem, Li et al later trained the parameters of the HMM model by mixed multi-population genetic algorithm (MPGA) [8] to improve the reliability of the parameters and to solve the problem that the emergency situation could not be highlighted in a certain period of time. Experiments show that this method can reflect the current network security situation effectively and accurately.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Botnet Threats Based on Evidence Chain

Liu¹,

Yi-mu²

2020

Computer Security Threats

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The current network security faces a serious threat, which has been brought about by the large-scale proliferation of botnet, and its detection has become one of the important tasks of the existing cyberspace security. At present, although network administrators have firewalls, intrusion detection systems, intrusion prevention systems, and other technical means to achieve partial network protection, they are still confronted with severe challenges in the detection and prevention of a botnet known as a threatening attack platform. The new botnet is characterized by its large scale and multifunction. Further, it is hard to detect, and it may cause a sharp decline in the normal defense level of the protected object in a short period of time. In this chapter, we propose a method of botnet threat assessment based on evidence chain. The DS evidence theory is used for network security situational awareness. On the basis of determining the recognition framework, all possible results are considered, and each evidence is assigned a basic credibility, and the final credibility of the target is fused by using the composition rule. The experiments show that this method can work efficiently and detect the major threats in the protected network in time.

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A Bayesian Algorithm to Enhance the Resilience of WAMS Applications Against Cyber Attacks

Cited by 93 publications

References 23 publications

Blockchain Applications in Smart Grid–Review and Frameworks

Blockchain Applications in Smart Grid–Review and Frameworks

Blockchain Technology for Information Security of the Energy Internet: Fundamentals, Features, Strategy and Application

Evaluation of Botnet Threats Based on Evidence Chain

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