A Novel Architecture for Cluster Based False Data Injection Attack Detection and Location Identification in Smart Grid

Mallikarjunaswamy, S; Sharmila, N.; Siddesh, G K; Nataraj, K. R.; Komala, M.

doi:10.1007/978-981-16-3497-0_48

Cited by 23 publications

(14 citation statements)

References 19 publications

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“…In this work, we suggest a load-shaping mechanism for wireless IoT networks that are delaytolerant. The controller in our suggested system continuously calculates the compute and fog nodes (BSs) traffic loads, then broadcasts the results to devices of IoT [34]. The conclusion is that IoT devices can choose BSs iteratively based on information of real load and their data rates of uplink to various BSs.…”

Section: Lab: a Distributed Iot Device Association Schemementioning

confidence: 99%

An efficient reconfigurable workload balancing scheme for fog computing network using internet of things devices

Puttaswamy,

Murthy

2023

IJECE

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Nowadays a huge amount of data has been communicated using fog nodes spread throughout smarty cities. the communication process is performed using fog nodes which are co-located with cellular base stations (BSs) that can move the computing resources close to internet of things (IoT) devices. In smart cities, a different type of data flow has been communicated through IoT devices. The communication process performs efficiently using the remote cloud. The IoT devices very close to the BS can communicate data without using fog nodes. Due to these phenomena, workload unbalancing occurs in IoT devices communicating in fog computing networks. Hence, it generates communication and computing latency. The task distribution process between the IoT devices is unbalanced. Hence, congestion and loss of information occur in fog computing network. A proposed reconfigurable load balancing algorithm (RLBA) is efficiently balancing the workload by reconfigurable communication channels and deviates the task with respect to the BS locations, IoT devices density and load IoT devices in each fog nodes in a network to minimize the communication and computing latency. As per the performance analysis, the proposed algorithm shows better performance as compared to conventional methods’ average latency ratio, communication latency ratio, computing load and traffic load.

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Section: Lab: a Distributed Iot Device Association Schemementioning

confidence: 99%

An efficient reconfigurable workload balancing scheme for fog computing network using internet of things devices

Puttaswamy,

Murthy

2023

IJECE

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“…Let us study the threephase bus structure as shown in Figure 4. Where |𝑆 𝑥 | is represented the voltage amplitude, |𝑆 𝑖 | has described the phase, 𝑍 𝑥𝑖 is identified as gain, 𝜁 𝑥 is represented the active power, 𝜌 𝑥 has described reactive power and x is the number of system buses [20], [21]. To determine unknown variables in each system buses by ( 24) and (25).…”

Section: Model Generalizationmentioning

confidence: 99%

Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter

Dayananda¹,

Mallikarjunaswamy²,

Nagaraju³

et al. 2022

IJPEDS

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The distribution denial of service (DDoS) attack, fault data injection attack (FDIA) and random attack is reduced. The monitoring and security of smart grid systems are improved using reconfigurable Kalman filter. Methods: A sinusoidal voltage signal with random Gaussian noise is applied to the Reconfigurable Euclidean detector (RED) evaluator. The MATLAB function randn() has been used to produce sequence distribution channel noise with mean value zero to analysed the amplitude variation with respect to evolution state variable. The detector noise rate is analysed with respect to threshold. The detection rate of various attacks such as DDOS, Random and false data injection attacks is also analysed. The proposed mathematical model is effectively reconstructed to frame the original sinusoidal signal from the evaluator state variable using reconfigurable Euclidean detectors.

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“…A DC-DC boost converter is used to connect the solar PV system to the DC bus. The maximum power point tracking (MPPT) algorithm provides gating signals to the converter switches and helps in operating the solar PV system at maximum power point [13]− [15]. The inductor (L) and capacitor (C) values required for the boost converter circuit are determined using in ( 5) and ( 6).…”

Section: Modeling Of Dc-dc Boost Converter For Solar Pv Systemmentioning

confidence: 99%

Decentralized dynamic power control in an islanded DC microgrid with hybrid energy storage system

Nagaraju

Ramaswamy

2022

IJPEDS

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The integration of renewable energy resources to utility grid calls for selection of suitable storage system to store generated energy with reliable supply of demand and selection of efficient control system for smooth control of the grid. Battery is the most common energy storage system. Combining a supercapacitor to it makes the system performance better during transients. This paper proposes a hybrid energy storage system with a battery and a supercapacitor to reduce transient power fluctuations and improve the life span of the battery by reducing the charging/discharging cycles with the incorporation of supercapacitor. The battery compensates constant power fluctuations whereas the supercapacitor compensates the transient power fluctuations. This system design offers improved performance, with better regulation of dc link voltage, frequency regulation compared to microgrid with single energy storage. The dynamic performance of the system under varying load conditions has been improved. The work proposes the power management algorithm, which helps in efficient monitoring and smooth control of the entire system. Integration of supercapacitor to the storage system enhances the performance of the microgrid, increases life span of battery and reduces the stress on battery. The DC link bus voltage is efficiently regulated and the demand is supplied reliably.

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A Novel Architecture for Cluster Based False Data Injection Attack Detection and Location Identification in Smart Grid

Cited by 23 publications

References 19 publications

An efficient reconfigurable workload balancing scheme for fog computing network using internet of things devices

An efficient reconfigurable workload balancing scheme for fog computing network using internet of things devices

Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter

Decentralized dynamic power control in an islanded DC microgrid with hybrid energy storage system

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