Pub Date : 2023-10-05DOI: 10.1142/s1752890923500095
Biswajit Bera, Sk Amanathulla, Sanat Kumar Mahato
{"title":"A Comprehensive Study of Picture Fuzzy Planar Graphs with Real-World Applications","authors":"Biswajit Bera, Sk Amanathulla, Sanat Kumar Mahato","doi":"10.1142/s1752890923500095","DOIUrl":"https://doi.org/10.1142/s1752890923500095","url":null,"abstract":"","PeriodicalId":38909,"journal":{"name":"Journal of Uncertain Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135483432","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 : 2023-07-10DOI: 10.1142/s1752890923500071
Apoorv Joshi, Jaykumar S. Lachure, R. Doriya
New advancements in agricultural techniques, methods of food production, and delivery have introduced new and relatively unexplored cyber-attack pathways, the security and economic implications of which are not yet fully understood. Precision agriculture is key to overcome predicted food supply shortages to fulfil global demand. A growing number of technologies, such as sensors, transmitters, and data systems, are used in smart farming environments to make decisions based on data. These decisions are then integrated with improved machinery to increase production and decrease input–output inconsistencies. Unmanned Aerial Vehicles (UAVs) are independent devices used in smart farming for various purposes. These devices are susceptible to different types of attacks. In this paper, we proposed a deep learning model for detecting attacks on UAVs by using a 1D Convolutional Neural Network. The NSL-KDD dataset is used to measure the performance of the proposed model, and remarkable accuracy of 99.77% and an impressively low false positive rate of 0.0038 is achieved.
{"title":"Drone Security for Precision Agriculture by Using One-Dimensional Convolutional Neural Network","authors":"Apoorv Joshi, Jaykumar S. Lachure, R. Doriya","doi":"10.1142/s1752890923500071","DOIUrl":"https://doi.org/10.1142/s1752890923500071","url":null,"abstract":"New advancements in agricultural techniques, methods of food production, and delivery have introduced new and relatively unexplored cyber-attack pathways, the security and economic implications of which are not yet fully understood. Precision agriculture is key to overcome predicted food supply shortages to fulfil global demand. A growing number of technologies, such as sensors, transmitters, and data systems, are used in smart farming environments to make decisions based on data. These decisions are then integrated with improved machinery to increase production and decrease input–output inconsistencies. Unmanned Aerial Vehicles (UAVs) are independent devices used in smart farming for various purposes. These devices are susceptible to different types of attacks. In this paper, we proposed a deep learning model for detecting attacks on UAVs by using a 1D Convolutional Neural Network. The NSL-KDD dataset is used to measure the performance of the proposed model, and remarkable accuracy of 99.77% and an impressively low false positive rate of 0.0038 is achieved.","PeriodicalId":38909,"journal":{"name":"Journal of Uncertain Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47035842","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 : 2023-06-15DOI: 10.1142/s1752890923300017
A. Ghaffari-Hadigheh
{"title":"On the set operational laws in uncertain sets using inverse membership functions","authors":"A. Ghaffari-Hadigheh","doi":"10.1142/s1752890923300017","DOIUrl":"https://doi.org/10.1142/s1752890923300017","url":null,"abstract":"","PeriodicalId":38909,"journal":{"name":"Journal of Uncertain Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45249739","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 : 2023-05-05DOI: 10.1142/s175289092350006x
Amarnath Padhi
{"title":"The Role of Human Resource Analytics: Analyzing the Factors influencing it in Organizations using SEM and ANOVA","authors":"Amarnath Padhi","doi":"10.1142/s175289092350006x","DOIUrl":"https://doi.org/10.1142/s175289092350006x","url":null,"abstract":"","PeriodicalId":38909,"journal":{"name":"Journal of Uncertain Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48077522","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 : 2023-04-28DOI: 10.1142/s1752890923500058
S. Goldar, S. Ray
In this paper, we introduce the concept of soft intervals, soft ordering and sequences of soft real numbers, and some of their structural properties are studied. The notion of soft Lebesgue measure on the soft real numbers has been introduced. Also, a correspondence relationship has been established between the soft Lebesgue measure and the classical Lebesgue measure. Furthermore, we have studied some exciting results and relations between the soft Lebesgue measure and the Lebesgue measure of soft real sets.
{"title":"On Soft Lebesgue Measure","authors":"S. Goldar, S. Ray","doi":"10.1142/s1752890923500058","DOIUrl":"https://doi.org/10.1142/s1752890923500058","url":null,"abstract":"In this paper, we introduce the concept of soft intervals, soft ordering and sequences of soft real numbers, and some of their structural properties are studied. The notion of soft Lebesgue measure on the soft real numbers has been introduced. Also, a correspondence relationship has been established between the soft Lebesgue measure and the classical Lebesgue measure. Furthermore, we have studied some exciting results and relations between the soft Lebesgue measure and the Lebesgue measure of soft real sets.","PeriodicalId":38909,"journal":{"name":"Journal of Uncertain Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135912634","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 : 2023-02-23DOI: 10.1142/s1752890923500046
B. Jagdale, Shounak Rhishikesh Sugave, Yogesh R. Kulkarni
{"title":"Optimal cluster-based topology and Deep LSTM-based prediction method for data reduction in IoT","authors":"B. Jagdale, Shounak Rhishikesh Sugave, Yogesh R. Kulkarni","doi":"10.1142/s1752890923500046","DOIUrl":"https://doi.org/10.1142/s1752890923500046","url":null,"abstract":"","PeriodicalId":38909,"journal":{"name":"Journal of Uncertain Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44863134","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 : 2022-12-31DOI: 10.1142/s1752890922500179
V. Srinadh, B. Swaminathan, Ch. Vidyadhari
Through Advanced Persistent Threats (APTs), which can reveal data alteration, destruction, or Denial of Service attacks through the examples of exposed hardware and software, the information technology model advances. Moving Target (MTD) is a promising risk-reduction strategy that primarily relies on APTs by utilizing dynamic and randomization techniques on properties that are collaborated. Although there are various MTD approaches to implement the blind random mutation, it still produces better performance overhead as well as poor defense utility. Additionally, APT is a unique assault strategy that was typically developed by hacking groups to steal data or deactivate systems for enormous originalities and uniform countries. APT is a multi-stage, long-term representative, and it is difficult to identify attacks effectively using an outmoded approach. In this paper, Conditional Dingo Optimization Algorithm Deep Residual Network (CDOA-based DRN) is devised for APT detection. Moreover, correlation Tversky index-based similarity is designed for performing feature fusion. The hybrid optimization algorithm effectively increases the performance and reduces various real-world issues. Testing accuracy, True Positive Rate, and False Positive Rate of the newly developed CDOA-based DRN are 95.43%, 96.34%, and 91.43%, respectively, for better performance.
{"title":"Blockchain-Integrated Advanced Persistent Threat Detection Using Optimized Deep Learning-Enabled Feature Fusion","authors":"V. Srinadh, B. Swaminathan, Ch. Vidyadhari","doi":"10.1142/s1752890922500179","DOIUrl":"https://doi.org/10.1142/s1752890922500179","url":null,"abstract":"Through Advanced Persistent Threats (APTs), which can reveal data alteration, destruction, or Denial of Service attacks through the examples of exposed hardware and software, the information technology model advances. Moving Target (MTD) is a promising risk-reduction strategy that primarily relies on APTs by utilizing dynamic and randomization techniques on properties that are collaborated. Although there are various MTD approaches to implement the blind random mutation, it still produces better performance overhead as well as poor defense utility. Additionally, APT is a unique assault strategy that was typically developed by hacking groups to steal data or deactivate systems for enormous originalities and uniform countries. APT is a multi-stage, long-term representative, and it is difficult to identify attacks effectively using an outmoded approach. In this paper, Conditional Dingo Optimization Algorithm Deep Residual Network (CDOA-based DRN) is devised for APT detection. Moreover, correlation Tversky index-based similarity is designed for performing feature fusion. The hybrid optimization algorithm effectively increases the performance and reduces various real-world issues. Testing accuracy, True Positive Rate, and False Positive Rate of the newly developed CDOA-based DRN are 95.43%, 96.34%, and 91.43%, respectively, for better performance.","PeriodicalId":38909,"journal":{"name":"Journal of Uncertain Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45776571","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 : 2022-10-07DOI: 10.1142/s1752890922500143
ManishaVikas Bhanuse, S. Patil
{"title":"Fruit Quality Grading Using Texture Feature Based PLS-DA Technique","authors":"ManishaVikas Bhanuse, S. Patil","doi":"10.1142/s1752890922500143","DOIUrl":"https://doi.org/10.1142/s1752890922500143","url":null,"abstract":"","PeriodicalId":38909,"journal":{"name":"Journal of Uncertain Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42715028","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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