Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)最新文献

{"title":"Breaking Down the Blockchain Architecture: Components, Characteristics\u0000and Future Trends","authors":"Aarti Goel, Anurag Mishra, Vikash Yadav","doi":"10.2174/0123520965303926240401053649","DOIUrl":"https://doi.org/10.2174/0123520965303926240401053649","url":null,"abstract":"\u0000\u0000Blockchain, the revolutionary technology behind the existence of cryptocurrencies has\u0000received enormous recognition worldwide due to its immutable system which allows transactions\u0000to take place in a decentralized manner ensuring security and accountability. In a trustless environment,\u0000blockchain systems work consistently, where each block’s data is distributed across a\u0000dense peer-to-peer (P2P) network. In this type of network, each node acts as a backup because all\u0000transactions are stored in every node. It follows a set of validation criteria that provide transparency,\u0000trust, and data security. Blockchain primarily works on a P2P network which is generally\u0000more secure, prohibiting any attack or failure at a single point that might be encountered in the\u0000case of a centralized network. All nodes present in it work in association with a consensus algorithm\u0000to provide services in a synchronized manner, which makes the working of blockchain robust\u0000and much more resilient.\u0000A blockchain network is defined as the interconnection of many nodes, and each node holds a\u0000copy of the ledger. It can be observed as a continuously growing chain of blocks, and blocks are\u0000interconnected with the support of a hash function. Block-chain-based solutions are used in financial\u0000services, healthcare, the Internet of Things, and so on. However, this technology holds\u0000the potential to overcome many obstacles such as technical issues, rapid change, and lack of acceptance\u0000on a global level that it is currently facing. This chapter deals with blockchain Architecture,\u0000various consensus algorithms used in different blockchains, and future trends of this technology.\u0000It also explains its key components and characteristics that would help us understand the\u0000topic in greater depth.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140696319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Implementation of Space Vector PWM in 36-Pulse D-STATCOM for Power Quality Improvement","authors":"S. Bandopadhyay, Atanu Banerjee, Ashoke Mondal","doi":"10.2174/0123520965277383240319041421","DOIUrl":"https://doi.org/10.2174/0123520965277383240319041421","url":null,"abstract":"\u0000\u0000This paper addresses the ongoing challenge of harmonics reduction in\u0000power systems, particularly focusing on Flexible AC Transmission Systems (FACTS) devices.\u0000Instead of employing a conventional multilevel converter, an alternative configuration is proposed:\u0000a 36-pulse gate turn-off thyristor-based converter (GTO-VSC). This converter comprises\u0000three 12-pulse Voltage Source Converters (VSCs) as fundamental units, operating collectively on\u0000the frequency mode of GTO switching control within a Distribution Static Synchronous Compensator\u0000(D-STATCOM). The D-STATCOM dynamically compensates reactive power in the system.\u0000The 36-pulse configuration results in AC output voltage waveforms containing harmonics such as\u0000the 35th, 37th, 71st, 73rd, etc., leading to higher total harmonic distortion (THD) levels.\u0000\u0000\u0000\u0000Reduced number of switches in flexible AC transmission.\u0000\u0000\u0000\u0000In response, the paper presents a new model featuring a 3-level, 36-pulse, 25kV,\u0000±3MVAr STATCOM configured with 12-pulse GTO-VSCs. This model incorporates PWM gate\u0000switching and employs a PI-control methodology to optimize harmonics in simulation, specifically\u0000targeting harmonics at the 35th, 37th, 71st, 73rd, etc., orders using Sim Power Systems toolbox in\u0000Math Works software.\u0000\u0000\u0000\u0000The compensator's operational performance is controlled through switching angle optimization,\u0000which minimizes harmonics, regulates voltage, and manages reactive power in the electrical\u0000transmission system.\u0000\u0000\u0000\u0000The simulation results demonstrate that the proposed model is acceptable for enhancing\u0000the flexibility and performance of the FACTS device in mitigating harmonics in power systems.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"250 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140746075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FPGA Implementation of Power-efficient Multipliers for Digital Signal\u0000Processing Applications","authors":"Manas Jain, Saksham Maini, Shruti Jain","doi":"10.2174/0123520965220371240315054004","DOIUrl":"https://doi.org/10.2174/0123520965220371240315054004","url":null,"abstract":"\u0000\u0000Higher power consumption raises chip temperature because it draws\u0000more current from the power source, which directly affects how long the batteries survive in portable\u0000devices. High temperature affects the dependability and functionality of a circuit, requiring\u0000more complex packaging and cooling strategies. One of the most significant challenges in VLSI\u0000design is power consumption. The power consumption of the circuit rises with both transistor density\u0000and chip complexity. In addition, one of the essential building blocks of hardware in the majority\u0000of VLSI applications and digital signal processing systems is the multiplier.\u0000\u0000\u0000\u0000This study aimed to design and compare array multiplier, Vedic multiplier,\u0000and Wallace tree multiplier using variable bit lengths.\u0000\u0000\u0000\u0000In this paper, authors designed array multiplier, Vedic multiplier, and Wallace tree\u0000multiplier using variable bit lengths. For comparison, the VIVADO tool was used to simulate and\u0000synthesize multiplier outputs.\u0000\u0000\u0000\u0000Wallace tree multipliers resulted in 31.153mW, 13.220mW, 4.099mW, and 0.988 mW of\u0000power dissipation for 16-bit, 8-bit, 4-bit, and 2-bit, respectively. The best multiplier was designed\u0000using different logic like AOI, OAI, NAND-NAND, and NOR-NOR and was compared based on\u0000power dissipation. It was observed that 2.256mW power dissipation was observed for NOR-NOR\u0000logic, which was minimal among other logics.\u0000\u0000\u0000\u0000The 4-bit Wallace multiplier using NOR-NOR logic was used for FPGA implementation,\u0000which can be used in digital signal processing applications.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"61 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140755079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Efficient Approach for Diabetes Classification Using Feature Selection and Hyperparameter Tuning","authors":"B. P. Lohani, Arvind Dagur, D. Shukla","doi":"10.2174/0123520965291885240315051751","DOIUrl":"https://doi.org/10.2174/0123520965291885240315051751","url":null,"abstract":"\u0000\u0000Diabetes mellitus, stemming from insulin deficiency or resistance, poses\u0000acute and chronic health issues driven by factors like age, obesity, genetics, and lifestyle. It significantly\u0000impacts health, leading to conditions like heart disease, vision problems, and kidney dysfunction,\u0000with a notable mortality rate reported by the WHO in 2019. The modern diet has escalated\u0000diabetes risk. Machine learning techniques play a pivotal role in disease prediction, aiding\u0000timely interventions.\u0000\u0000\u0000\u0000The primary aim of this research work is to explore and contrast the effectiveness of\u0000various existing machine-learning models for diabetes disease classification. The goal is to identify\u0000the optimal solution that yields the highest accuracy.\u0000\u0000\u0000\u0000In the initial phase, we implemented data pre-processing, followed by the application of\u0000a diverse range of machine learning methods to classify diabetes mellitus. Subsequently, a comprehensive\u0000analysis was conducted on machine learning algorithms, considering both the complete\u0000dataset features and those selected through Particle Swarm Optimization (PSO). The assessment\u0000covered various metrics such as accuracy score, precision, F1 score, and log loss for Support Vector\u0000Classifier (SVC), K-Nearest Neighbours (KNN), Random Forest (RF), ADA Boost, XG Boost,\u0000Extra Tree, and Decision Tree. Ultimately, the introduction of hyperparameter tuning was aimed\u0000at enhancing performance and attaining the highest level of accuracy.\u0000\u0000\u0000\u0000The proposed model HSVC combines the Particle Swarm Optimization (PSO) feature\u0000selection strategy with optimized hyperparameters, showcasing outstanding performance and\u0000achieving an accuracy of 98.66%.\u0000\u0000\u0000\u0000The models developed in this study can potentially be applied or recommended for\u0000the classification of other health conditions in different domains, such as Parkinson’s disease,\u0000heart disease, and many more.\u0000\u0000\u0000\u0000The use of machine learning (ML) techniques is highly regarded for its effectiveness in disease diagnosis. By detecting diseases early, patients can receive prompt medical attention, leading to improved health outcomes. This study examines several ML classification models for predicting diabetes in patients, with a focus on their accuracy. After examining several ML classification models, we have concluded that SVM is providing the best result on the chosen dataset. Then we have applied the concept of hyper tuning parameter with SVM and the improved accuracy was 98.66% for diabetes classification. The models developed in this study can potentially\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"472 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140779004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyze the Impact of Mobility and Pause Time on ACO based Manet Routing Protocols - Review","authors":"S. Kour, Himali Sarangal, Manjit Singh, Butta Singh","doi":"10.2174/0123520965293783240308104343","DOIUrl":"https://doi.org/10.2174/0123520965293783240308104343","url":null,"abstract":"\u0000\u0000Recently, many researchers have studied its performance within Mobile Ad-hoc Networks\u0000(MANETs). Every ad hoc network protocol focuses on a different set of measurements and\u0000traits. The majority of the currently utilized mobility models are employed to provide realistic\u0000movement patterns for MANET scenarios. A crucial element in the creation of MANET protocols\u0000is simulation. The future topology of a network can be predicted, which enables Quality of service-\u0000aware routing to choose a dependable link for data transmission. Ant algorithms, also known\u0000as swarm intelligence, are a wider field of study that deals with algorithmic approaches that are\u0000motivated by the behaviour of ant colonies and other insects. Ant Colony Optimization (ACO) is a\u0000subset of this larger topic. Based on the pheromone value deposited over the link, we identified\u0000two categories for the link quality in the proposed approach. We have demonstrated how the network's\u0000performance is enhanced by the suggested technique. The nodes are moving in the specified\u0000terrain dimensions through the Enhanced Manhattan Mobility Model (EMMM). The five QoS\u0000performance metrics are analyzed over three MANET routing protocols. The comparison is made\u0000over two important factors-mobility and pause time with the proposed ACO technique of reliable\u0000links. In the first experiment of different speeds, DSR is 25.5% better than AODV and 5.3% better\u0000than DSDVin metric packet dropping, 1.15% better than AODV and 1.01% better than DSDV in\u0000Packet Delivery Ratio, 1.5% better than AODV and 1.04% better than DSDV in packet overhead,\u0000and 62.7% better than AODV and 73.1% better than DSDV in average end-to-end delay. In the\u0000second experiment of pause times, DSR is 25.05% better than AODV and 4.5% better than DSDV\u0000in packet dropping, 1.18% better than AODV and 1.01% better than DSDV in packet delivery\u0000ratio, 1.01% better than DSDV in throughput, 0 to 0.002% in packet overhead, and 0.02% to\u00000.005% shorter delay.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"84 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140232493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Cascading Voltage Fault Ride-through Strategy for DFIG Based on Hybrid Energy Storage System","authors":"Haichuan You, Can Ding","doi":"10.2174/0123520965283353240227122236","DOIUrl":"https://doi.org/10.2174/0123520965283353240227122236","url":null,"abstract":"\u0000\u0000At present, clean energy power generation technology is vigorously developing,\u0000and wind power generation technology is widely applied. Ensuring that the wind turbine\u0000operation is not off-grid has become critical. Currently, most of the studies on fault ride-through\u0000problems of doubly fed induction generators (DFIG) are single faults, i.e., low voltage ride\u0000through (LVRT) or high voltage ride through (HVRT), mostly ignoring the low and high voltage\u0000cascading fault.\u0000\u0000\u0000\u0000With the gradual increase of wind power penetration rate, how to ensure that the wind turbine operation is not off-grid has become critical. Currently, most of the studies on fault ride-through problems of doubly fed induction generator (DFIG) are single faults, i.e., low voltage ride through (LVRT) or high voltage ride through (HVRT), mostly ignoring the low and high voltage cascading fault\u0000\u0000\u0000\u0000This paper proposes a joint control strategy based on hybrid energy storage (HESS) to\u0000cope with the cascading fault ride-through requirement. During the fault period, the DFIG rotor\u0000side converter (RSC) works in the reactive power priority mode to provide reactive power support\u0000for the power grid. In view of the hysteresis of the traditional PI control of HESS, Model predictive\u0000control is used to improve.\u0000\u0000\u0000\u0000During the fault traversal process, the DC voltage of the fan is stable, the output waveform\u0000is smooth, and the support capacity is significantly improved.\u0000\u0000\u0000\u0000During the fault period, the DFIG rotor side converter (RSC) works in the reactive power priority mode to provide reactive power support for the power grid. In view of the hysteresis of the traditional PI control of HESS, Model predictive control is used to improve.\u0000\u0000\u0000\u0000Simulation results show that the proposed joint control strategy can effectively\u0000support grid voltage recovery and maintain stable DC bus voltage, effectively achieving DFIG\u0000low and high voltage continuous fault crossing.\u0000\u0000\u0000\u0000Simulation results show that the proposed joint control strategy can effectively support grid voltage recovery and maintain stable DC bus voltage, effectively\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140282904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of False Data Injection Attacks on Distributed Energy Resources Integration into Distribution Networks","authors":"Mingliang Chen, Guoqiang Xie, Yingting YU, Chuanhan Zeng, Zaide Xu, Yuan Li, Yuancheng Li","doi":"10.2174/0123520965284240240118074556","DOIUrl":"https://doi.org/10.2174/0123520965284240240118074556","url":null,"abstract":"\u0000\u0000Compared with the traditional power system, the large-scale access of\u0000distributed energy resources in the new power system has a great impact on the structure and operation\u0000mode of the power grid, and it is also more susceptible to device-level and network-level\u0000FDI attacks.\u0000\u0000\u0000\u0000In order to improve the accuracy and precision of detecting false data injection attacks\u0000in distributed energy resources integration into distribution networks and to further explore time\u0000series modeling methods for measurement data, it is helpful for the FDIAs detection method to be\u0000widely adopted and applied in new power systems.\u0000\u0000\u0000\u0000To address false data injection attacks on distributed energy resource integration into\u0000distribution grids within new power systems, a data-driven time series anomaly detection method\u0000is employed. Firstly, time-aware shapelets are extracted from time series data, and then the shapelet\u0000evolution graph is constructed to capture the correlation between the shapelets. Finally, time\u0000series representation vectors are learned using segment embeddings derived from the shapelet\u0000evolution graph through the DeepWalk algorithm. These representation vectors are then input into\u0000a BO-XGBoost anomaly detector, facilitating the detection of FDIAs.\u0000\u0000\u0000\u0000After multiple rounds of parameter tuning, the parameters of Shapelet quantity (K=40)\u0000and segment length (L=4) achieved an accuracy of 92.8% in FDIA detection. Comparative experimental\u0000results with different algorithms indicate that, compared to other unsupervised learning\u0000methods, this approach exhibits an accuracy improvement of 20-40%. In the case of BOXGBOOST,\u0000it achieves a 5% increase in accuracy compared to the unmodified XGBOOST.\u0000\u0000\u0000\u0000The experimental results indicate that this method can effectively detect false data\u0000injection attacks on the integration of distributed energy resources into distribution grids within\u0000new power systems. This model significantly enhances detection accuracy and precision while\u0000also imparting physical significance to the dynamic evolution of time series models.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"253 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139843234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of False Data Injection Attacks on Distributed Energy Resources Integration into Distribution Networks","authors":"Mingliang Chen, Guoqiang Xie, Yingting YU, Chuanhan Zeng, Zaide Xu, Yuan Li, Yuancheng Li","doi":"10.2174/0123520965284240240118074556","DOIUrl":"https://doi.org/10.2174/0123520965284240240118074556","url":null,"abstract":"\u0000\u0000Compared with the traditional power system, the large-scale access of\u0000distributed energy resources in the new power system has a great impact on the structure and operation\u0000mode of the power grid, and it is also more susceptible to device-level and network-level\u0000FDI attacks.\u0000\u0000\u0000\u0000In order to improve the accuracy and precision of detecting false data injection attacks\u0000in distributed energy resources integration into distribution networks and to further explore time\u0000series modeling methods for measurement data, it is helpful for the FDIAs detection method to be\u0000widely adopted and applied in new power systems.\u0000\u0000\u0000\u0000To address false data injection attacks on distributed energy resource integration into\u0000distribution grids within new power systems, a data-driven time series anomaly detection method\u0000is employed. Firstly, time-aware shapelets are extracted from time series data, and then the shapelet\u0000evolution graph is constructed to capture the correlation between the shapelets. Finally, time\u0000series representation vectors are learned using segment embeddings derived from the shapelet\u0000evolution graph through the DeepWalk algorithm. These representation vectors are then input into\u0000a BO-XGBoost anomaly detector, facilitating the detection of FDIAs.\u0000\u0000\u0000\u0000After multiple rounds of parameter tuning, the parameters of Shapelet quantity (K=40)\u0000and segment length (L=4) achieved an accuracy of 92.8% in FDIA detection. Comparative experimental\u0000results with different algorithms indicate that, compared to other unsupervised learning\u0000methods, this approach exhibits an accuracy improvement of 20-40%. In the case of BOXGBOOST,\u0000it achieves a 5% increase in accuracy compared to the unmodified XGBOOST.\u0000\u0000\u0000\u0000The experimental results indicate that this method can effectively detect false data\u0000injection attacks on the integration of distributed energy resources into distribution grids within\u0000new power systems. This model significantly enhances detection accuracy and precision while\u0000also imparting physical significance to the dynamic evolution of time series models.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"23 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139783440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Generation Method of New Power System APT Attack Graph Based on DQN","authors":"Zijia Wang, Yuancheng Li","doi":"10.2174/2352096516666230427100445","DOIUrl":"https://doi.org/10.2174/2352096516666230427100445","url":null,"abstract":"\u0000\u0000The new power system is more vulnerable to Advanced Persistent Threat\u0000(APT) than the traditional power system.\u0000\u0000\u0000\u0000This study aims to grasp the intent of the APT attack better; a new generation method of\u0000power system APT attack graph based on DQN is proposed.\u0000\u0000\u0000\u0000First, the network topology of the new power system was extracted by Nessus scanning\u0000as the model input. Secondly, the agent in DQN was trained for multiple rounds. Starting from the\u0000set initial state, the agent selected the action with the highest Q value to act on the system in each\u0000round, and then the system entered the next state. Then the Q network function value was updated\u0000according to the obtained system feedback value until the target state appeared.\u0000\u0000\u0000\u0000After multiple rounds of training agents, multiple APT attack paths were finally obtained,\u0000thus an APT attack graph can be generated.\u0000\u0000\u0000\u0000The experimental results showed that the efficiency of generating an APT attack\u0000graph based on the DQN method is obviously superior to the existing methods for the large-scale\u0000industrial control system, such as the new power system.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"42 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139687194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cyber Security Challenges and Effective Security Measures for IOT-based Intelligent Healthcare Systems","authors":"Abhijit T. Somnathea, N. Gopinath, G. Deena, R. Anandh, Santosh kumar, Kanchan S. Tiwari","doi":"10.2174/0123520965276302240115075612","DOIUrl":"https://doi.org/10.2174/0123520965276302240115075612","url":null,"abstract":"\u0000\u0000In order to keep up with the rapid development of technology,\u0000cities must enhance their offerings in the areas of public security, medical care, transportation,\u0000and citizen well-being. Healthcare systems rely heavily on patient care. Patients' life and the services\u0000offered by doctors, nurses, clinicians, pharmaceutical companies, and governments stand to\u0000benefit from the implementation of Healthcare IoT. There has been a change in the medical industry,\u0000marked by the widespread adoption of wireless healthcare-monitoring-systems (HMS) in\u0000hospitals.\u0000\u0000\u0000\u0000However, the Internet-of-Things(IoT) concept frequently ignores\u0000security-privacy for linked things. Security and privacy protections must be implemented systematically\u0000throughout the entire healthcare and remote health monitoring system, from the creation\u0000of equipment to their interconnection, communication, storage, and eventual destruction.\u0000This research investigates the risks associated with using smart health devices and provides recommendations\u0000for addressing those risks. The present security and privacy of IoT devices in\u0000healthcare systems, as well as the difficulties in adopting security frameworks, are discussed, and\u0000recommendations for addressing these issues are offered.\u0000\u0000\u0000\u0000This study also contributes in two ways to the ongoing effort to investigate\u0000security-privacy concerns in the circumstance of smart cities for healthcare purposes.\u0000Moreover, this article provides a summary of the many Internet of Things applications and the\u0000cyber threats they face. On the other hand, thorough assessments of methods to reduce cyber\u0000threats to 60% are presented.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"77 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140478899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}