Pub Date : 2022-12-28DOI: 10.1109/ICKECS56523.2022.10059962
Bo Yu, Guilong Wang, Litao Wang, Zhi-hong Chen
In view of the shortcomings of the current aspheric surface detection equipment, a new aspheric surface detection principle based on the most approximate circle method is proposed, the general structure of the aspheric surface precision detector based on the principle of the closest circle is introduced in detail, and the topology and low sequence array of the detector are established through theoretical analysis, and carries on the detection device coordinate system the concrete setting. At the same time, applying the theory of multi-body system, aiming at the distribution of degrees of freedom among the parts of aspheric surface shape detector and the set generalized coordinate system, the ideal transformation matrix and zero-order motion equation between adjacent bodies of aspheric surface shape detector are established. Finally, the error model of the detector is synthetically established, and the correctness of the mathematical model is checked, it lays a solid foundation for the follow-up error compensation research.
{"title":"The Comprehensive Error Modeling of Aspheric Surface Accuracy Detection Device","authors":"Bo Yu, Guilong Wang, Litao Wang, Zhi-hong Chen","doi":"10.1109/ICKECS56523.2022.10059962","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059962","url":null,"abstract":"In view of the shortcomings of the current aspheric surface detection equipment, a new aspheric surface detection principle based on the most approximate circle method is proposed, the general structure of the aspheric surface precision detector based on the principle of the closest circle is introduced in detail, and the topology and low sequence array of the detector are established through theoretical analysis, and carries on the detection device coordinate system the concrete setting. At the same time, applying the theory of multi-body system, aiming at the distribution of degrees of freedom among the parts of aspheric surface shape detector and the set generalized coordinate system, the ideal transformation matrix and zero-order motion equation between adjacent bodies of aspheric surface shape detector are established. Finally, the error model of the detector is synthetically established, and the correctness of the mathematical model is checked, it lays a solid foundation for the follow-up error compensation research.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124460906","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}
Pub Date : 2022-12-28DOI: 10.1109/ICKECS56523.2022.10060422
Devendra Singh, ShaikVaseem Akram, T. Sivakumar, U. Prakash, J. Loyola Jasmine, C. K. N.
The next-generation wearable electrocardiogram (ECG) equipment requires signal processing with low battery usage in order to transmit signals when harmful rhythms are recognized and to capture signals when anomalous rhythms are discovered. The visual deflections that are frequently visible on an ECG make up the QRS complex. This research suggests a real-time QRS recognition and R point detection system that is extremely accurate and simple. The recommended ECG signal modification eliminates baseline wandering while also enhancing QRS intervals and controlling P and $T$ waves. In this work, the peaks and valleys of the converted signal were used to calculate the fiducial point for the QR. The R point could then be determined using four QRS waveform templates, and the initial categorization of cardiac rhythms could be completed simultaneously. On two benchmark datasets, the proposed method's effectiveness is shown. Positive prediction (+P) and detected sensitivity (Se) values for QRS are 99.82 and 99.81 percent, respectively, according to the standard. The outcome demonstrates that the method has a low processing complexity and that real-time software may be successfully executed on both an embedded system and a mobile device.
{"title":"Signal Quality Evaluation and Processing for QRS Detection in ECG based Smart Healthcare Systems","authors":"Devendra Singh, ShaikVaseem Akram, T. Sivakumar, U. Prakash, J. Loyola Jasmine, C. K. N.","doi":"10.1109/ICKECS56523.2022.10060422","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060422","url":null,"abstract":"The next-generation wearable electrocardiogram (ECG) equipment requires signal processing with low battery usage in order to transmit signals when harmful rhythms are recognized and to capture signals when anomalous rhythms are discovered. The visual deflections that are frequently visible on an ECG make up the QRS complex. This research suggests a real-time QRS recognition and R point detection system that is extremely accurate and simple. The recommended ECG signal modification eliminates baseline wandering while also enhancing QRS intervals and controlling P and $T$ waves. In this work, the peaks and valleys of the converted signal were used to calculate the fiducial point for the QR. The R point could then be determined using four QRS waveform templates, and the initial categorization of cardiac rhythms could be completed simultaneously. On two benchmark datasets, the proposed method's effectiveness is shown. Positive prediction (+P) and detected sensitivity (Se) values for QRS are 99.82 and 99.81 percent, respectively, according to the standard. The outcome demonstrates that the method has a low processing complexity and that real-time software may be successfully executed on both an embedded system and a mobile device.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125907012","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}
Pub Date : 2022-12-28DOI: 10.1109/ICKECS56523.2022.10059674
Zuo Songlin
In the middle and late stage of oilfield development, stabilizing oil and controlling water and improving oilfield development efficiency are the main problems faced by oilfield companies at present and in the future One of the tasks is to formulate a scientific and reasonable development plan, which is the key to solve this problem. The optimization and formulation of adjustment plan is an important part of oilfield development planning. Its purpose is to stabilize oil and control water and maximize benefits under various geological development conditions. The application research of Internet technology combining oilfield development adjustment and virtual reality is the application research of Internet technology combining oilfield development adjustment and virtual reality. The application research of the combination of oilfield development adjustment and virtual reality with Internet technology mainly includes three aspects: 1. Adjusting the production process; 2. Improve operational efficiency; 3. Make full use of information resources.
{"title":"Application Research of Oilfield Development Adjustment and Virtual Reality Combination of Internet Technology","authors":"Zuo Songlin","doi":"10.1109/ICKECS56523.2022.10059674","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059674","url":null,"abstract":"In the middle and late stage of oilfield development, stabilizing oil and controlling water and improving oilfield development efficiency are the main problems faced by oilfield companies at present and in the future One of the tasks is to formulate a scientific and reasonable development plan, which is the key to solve this problem. The optimization and formulation of adjustment plan is an important part of oilfield development planning. Its purpose is to stabilize oil and control water and maximize benefits under various geological development conditions. The application research of Internet technology combining oilfield development adjustment and virtual reality is the application research of Internet technology combining oilfield development adjustment and virtual reality. The application research of the combination of oilfield development adjustment and virtual reality with Internet technology mainly includes three aspects: 1. Adjusting the production process; 2. Improve operational efficiency; 3. Make full use of information resources.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126110981","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}
Pub Date : 2022-12-28DOI: 10.1109/ICKECS56523.2022.10059961
Yuan Jiang
China is a vast country. There are a lot of precious resources such as mineral resources, coal, shale gas and oil under the vast territory. However, the real underground space distribution and structure are complex, and the limited exploration data and literature may lead to deviation in the understanding of geologists and mistakes in decision-making, resulting in some avoidable losses. Therefore, this paper focuses on the analysis of complex 3D geological models(GM), and studies the application of computer simulation technology(CST) in simulating complex 3D GM; The basic content and process of 3D GMing as well as the collection and processing of geological data are discussed; The CST is used to simulate the complex 3D GM for analysis, and the simulation experiment is used to test the performance of the CST to simulate the tetrahedron quality of the complex 3D GM after optimization. The test results verify the effectiveness of the CST applied to the complex 3D GM.
{"title":"The Computer Simulation Technology Applied in Simulation of the Complex Three-Dimensional Geological Model","authors":"Yuan Jiang","doi":"10.1109/ICKECS56523.2022.10059961","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059961","url":null,"abstract":"China is a vast country. There are a lot of precious resources such as mineral resources, coal, shale gas and oil under the vast territory. However, the real underground space distribution and structure are complex, and the limited exploration data and literature may lead to deviation in the understanding of geologists and mistakes in decision-making, resulting in some avoidable losses. Therefore, this paper focuses on the analysis of complex 3D geological models(GM), and studies the application of computer simulation technology(CST) in simulating complex 3D GM; The basic content and process of 3D GMing as well as the collection and processing of geological data are discussed; The CST is used to simulate the complex 3D GM for analysis, and the simulation experiment is used to test the performance of the CST to simulate the tetrahedron quality of the complex 3D GM after optimization. The test results verify the effectiveness of the CST applied to the complex 3D GM.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126600487","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}
Pub Date : 2022-12-28DOI: 10.1109/ICKECS56523.2022.10060145
Meng Gao, Zongguang Wang, Cuicui Zhou
China's fresh produce e-commerce is currently undergoing rapid development, but the short shelf life and easy loss of fresh produce have led to frequent risks in the fresh produce e-commerce supply chain. Therefore, effective identification and prevention of these risks are crucial to the booming fresh produce e-commerce industry. Considering the closeness and complexity of the linkages between various actors in the fresh produce e-commerce supply chain, this paper summarises the existing research and divides the fresh produce e-commerce supply chain risks into three levels: upstream risk, downstream risk, and platform risk, identifies the factors affecting the occurrence of risks at each level, analyses the importance of the influencing factors using a particle swarm algorithm, and proposes targeted risk prevention and control measures.
{"title":"Research On Fresh Produce E-Commerce Supply Chain Risk Based on Particle Swarm Algorithm","authors":"Meng Gao, Zongguang Wang, Cuicui Zhou","doi":"10.1109/ICKECS56523.2022.10060145","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060145","url":null,"abstract":"China's fresh produce e-commerce is currently undergoing rapid development, but the short shelf life and easy loss of fresh produce have led to frequent risks in the fresh produce e-commerce supply chain. Therefore, effective identification and prevention of these risks are crucial to the booming fresh produce e-commerce industry. Considering the closeness and complexity of the linkages between various actors in the fresh produce e-commerce supply chain, this paper summarises the existing research and divides the fresh produce e-commerce supply chain risks into three levels: upstream risk, downstream risk, and platform risk, identifies the factors affecting the occurrence of risks at each level, analyses the importance of the influencing factors using a particle swarm algorithm, and proposes targeted risk prevention and control measures.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114950498","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}
Pub Date : 2022-12-28DOI: 10.1109/ICKECS56523.2022.10059983
Zhu Min
The big data-driven mental health assessment model for college students is a new concept, which will be used to assess the mental health of college students. This is an open source project and anyone can contribute to it. Our goal is to provide a platform for researchers, practitioners and students interested in learning more about big data-driven mental health assessment models for college students. The big data-driven mental health assessment model for college students is a research-based tool that can be used to assess the mental health of college students. The results of this assessment will help to understand the degree of stress and anxiety of college students, their coping strategies and emotional status. It will also help to provide better counseling services for these students and others with similar problems. The assessment consists of two parts - one part is a questionnaire, which contains questions related to family life, academic performance, peer relations and other aspects, while the second part includes a set of algorithms.
{"title":"Big Data Driven Mental Health Assessment Model for College Students","authors":"Zhu Min","doi":"10.1109/ICKECS56523.2022.10059983","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059983","url":null,"abstract":"The big data-driven mental health assessment model for college students is a new concept, which will be used to assess the mental health of college students. This is an open source project and anyone can contribute to it. Our goal is to provide a platform for researchers, practitioners and students interested in learning more about big data-driven mental health assessment models for college students. The big data-driven mental health assessment model for college students is a research-based tool that can be used to assess the mental health of college students. The results of this assessment will help to understand the degree of stress and anxiety of college students, their coping strategies and emotional status. It will also help to provide better counseling services for these students and others with similar problems. The assessment consists of two parts - one part is a questionnaire, which contains questions related to family life, academic performance, peer relations and other aspects, while the second part includes a set of algorithms.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122776908","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}
Pub Date : 2022-12-28DOI: 10.1109/ICKECS56523.2022.10060561
Tongxing Zhang, Zhaojun Zhou, C. Zhou, Yan Zhang, P. Kumar S
BP neural algorithm has been applied in all walks of life in the current era. Since the birth of the elevator, the brake system has developed along with the elevator industry and played an important role in ensuring the safety of the elevator. BP neural algorithm also plays an important role in the process of elevator braking. The braking force generated by the braking system has little relation with the initial braking speed, but is positively correlated with the total mass of the elevator. The braking system based on BP neural algorithm needs to absorb more energy in a short time, so as to produce the braking force which is about to lock the pulley.
{"title":"Elevator Brake Fault Diagnosis Based on BP Neural Algorithm","authors":"Tongxing Zhang, Zhaojun Zhou, C. Zhou, Yan Zhang, P. Kumar S","doi":"10.1109/ICKECS56523.2022.10060561","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060561","url":null,"abstract":"BP neural algorithm has been applied in all walks of life in the current era. Since the birth of the elevator, the brake system has developed along with the elevator industry and played an important role in ensuring the safety of the elevator. BP neural algorithm also plays an important role in the process of elevator braking. The braking force generated by the braking system has little relation with the initial braking speed, but is positively correlated with the total mass of the elevator. The braking system based on BP neural algorithm needs to absorb more energy in a short time, so as to produce the braking force which is about to lock the pulley.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"63 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129630397","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}
Pub Date : 2022-12-28DOI: 10.1109/ICKECS56523.2022.10060150
Y. Fu
Computer-aided technology is a subversive reform of the traditional English teaching mode based on modern electronic information technology. It plays an important role in improving students' learning interest and ability. Therefore, the purpose of this paper to study the English teaching system based on computer-aided technology is to improve the professionalism and level of English teaching. On the basis of in-depth analysis of the current situation of college education in China, an English teaching model system based on computer technology is established, and problems are found after experimental verification. Then the performance index system and parameter design methods and strategies are targeted to improve and optimize, so as to improve students' learning efficiency, cultivate their comprehensive quality and ability, and cultivate their innovative spirit. This paper mainly uses the experimental method and the comparative method to analyze the teaching results of the experimental class and the control class. The experimental data shows that the attention of the experimental class is 7 points higher before and after the experiment, which shows that the English teaching system based on computer-aided technology can improve students' interest in English teaching.
{"title":"English Teaching System Based on Computer Aided Technology","authors":"Y. Fu","doi":"10.1109/ICKECS56523.2022.10060150","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060150","url":null,"abstract":"Computer-aided technology is a subversive reform of the traditional English teaching mode based on modern electronic information technology. It plays an important role in improving students' learning interest and ability. Therefore, the purpose of this paper to study the English teaching system based on computer-aided technology is to improve the professionalism and level of English teaching. On the basis of in-depth analysis of the current situation of college education in China, an English teaching model system based on computer technology is established, and problems are found after experimental verification. Then the performance index system and parameter design methods and strategies are targeted to improve and optimize, so as to improve students' learning efficiency, cultivate their comprehensive quality and ability, and cultivate their innovative spirit. This paper mainly uses the experimental method and the comparative method to analyze the teaching results of the experimental class and the control class. The experimental data shows that the attention of the experimental class is 7 points higher before and after the experiment, which shows that the English teaching system based on computer-aided technology can improve students' interest in English teaching.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129830154","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}
Pub Date : 2022-12-28DOI: 10.1109/ICKECS56523.2022.10060007
Fanglin Yang
With the continuous promotion of intelligence, digitalization and informatization, the proportion of freelancers is rising. Flexible project contracts are replacing the traditional employer model. This full-time flexible employment form, which is called the new employment form in this paper, has increasingly become the main channel to absorb employment. At the same time, in the context of new employment patterns, the existing institutional arrangements have increased the insurance burden of workers and the government, and also broken the balance of social responsibility. “De employer” has put forward new requirements for the smart system of social insurance agency. This paper analyzes the social insurance handling process under the new employment pattern, and divides the business handling into horizontal and vertical businesses, including information flow and capital flow horizontally, and includes three levels of front office, middle office and back office vertically. Based on the analysis of social insurance business process, this paper proposes a network physical system framework for intelligent handling based on the concept of “platform”, which provides a reference for software engineers to improve the handling system.
{"title":"Construction of Social Insurance Smart Handling Network Physical System Based on Cloud","authors":"Fanglin Yang","doi":"10.1109/ICKECS56523.2022.10060007","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060007","url":null,"abstract":"With the continuous promotion of intelligence, digitalization and informatization, the proportion of freelancers is rising. Flexible project contracts are replacing the traditional employer model. This full-time flexible employment form, which is called the new employment form in this paper, has increasingly become the main channel to absorb employment. At the same time, in the context of new employment patterns, the existing institutional arrangements have increased the insurance burden of workers and the government, and also broken the balance of social responsibility. “De employer” has put forward new requirements for the smart system of social insurance agency. This paper analyzes the social insurance handling process under the new employment pattern, and divides the business handling into horizontal and vertical businesses, including information flow and capital flow horizontally, and includes three levels of front office, middle office and back office vertically. Based on the analysis of social insurance business process, this paper proposes a network physical system framework for intelligent handling based on the concept of “platform”, which provides a reference for software engineers to improve the handling system.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128407896","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}
Pub Date : 2022-12-28DOI: 10.1109/ICKECS56523.2022.10060298
Geo Francis E, S. Sheeja
Wireless Sensor Networks (WSN), which collect a large amount of confidential data related to the activities of the user, have emerged as a promising research platform recently. The main purpose of ambient intelligence might be easily damaged by an attacker tampering with those kinds of data. Hence, it is significant to secure the data. In the existing intrusion detection techniques, due to single-time authentication, the robustness level is low; thus, if any high-level attack occurs, there is a chance of skipping them. So, a novel R-Distributed Auto-Encoder (RDAE)-based Pseudo Random number based Quantum Key Distribution (PSR-QKD) is employed for energy-efficient intrusion detection to overcome the limitations. Initially, the node initialization is done and the original ID is assigned to them. By employing K-Nearest Neighbour (KNN) algorithm, the clustering is performed. Then, by deploying Double Precision Integrated-Golden Tortoise Beetle Optimizer (DPI-GTBO), the cluster heads are selected. For acquiring the unique ID, the original ID of the CH is hashed by RIPE Message Digest (RIPEMD)-128. By using the PSR-QKD technique, key generation is performed in the server. The Base Station (BS) verifies the node based on trust value and shares the public key during a new node entry. By employing RDAE, the CH matches the public key with the server and performs attack detection. In the end, CH shares the private key with the non-malicious nodes. When analogized to the prevailing methodologies, the proposed method is found to be more efficient.
{"title":"A Novel RDAE Based PSR-QKD Framework for Energy Efficient Intrusion Detection","authors":"Geo Francis E, S. Sheeja","doi":"10.1109/ICKECS56523.2022.10060298","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060298","url":null,"abstract":"Wireless Sensor Networks (WSN), which collect a large amount of confidential data related to the activities of the user, have emerged as a promising research platform recently. The main purpose of ambient intelligence might be easily damaged by an attacker tampering with those kinds of data. Hence, it is significant to secure the data. In the existing intrusion detection techniques, due to single-time authentication, the robustness level is low; thus, if any high-level attack occurs, there is a chance of skipping them. So, a novel R-Distributed Auto-Encoder (RDAE)-based Pseudo Random number based Quantum Key Distribution (PSR-QKD) is employed for energy-efficient intrusion detection to overcome the limitations. Initially, the node initialization is done and the original ID is assigned to them. By employing K-Nearest Neighbour (KNN) algorithm, the clustering is performed. Then, by deploying Double Precision Integrated-Golden Tortoise Beetle Optimizer (DPI-GTBO), the cluster heads are selected. For acquiring the unique ID, the original ID of the CH is hashed by RIPE Message Digest (RIPEMD)-128. By using the PSR-QKD technique, key generation is performed in the server. The Base Station (BS) verifies the node based on trust value and shares the public key during a new node entry. By employing RDAE, the CH matches the public key with the server and performs attack detection. In the end, CH shares the private key with the non-malicious nodes. When analogized to the prevailing methodologies, the proposed method is found to be more efficient.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130410411","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}
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