Pub Date : 2023-05-12DOI: 10.1007/s11280-023-01175-x
Henry Hong Ning-Dai
{"title":"Guest Editorial: Special issue on “Web-based intelligent financial services: emerging challenges and recent advances” in world wide web -- internet and web information systems","authors":"Henry Hong Ning-Dai","doi":"10.1007/s11280-023-01175-x","DOIUrl":"https://doi.org/10.1007/s11280-023-01175-x","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88238137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-12DOI: 10.1007/s11280-023-01163-1
K. Sun, T. Qian, Ming Zhong, Xuhui Li
{"title":"Towards more effective encoders in pre-training for sequential recommendation","authors":"K. Sun, T. Qian, Ming Zhong, Xuhui Li","doi":"10.1007/s11280-023-01163-1","DOIUrl":"https://doi.org/10.1007/s11280-023-01163-1","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73563098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1007/s11280-023-01171-1
Haicheng Tao, Jiawei Miao, Lin Zhao, Zhenyu Zhang, Shuming Feng, Shu Wang, Jie Cao
{"title":"HAN-CAD: hierarchical attention network for context anomaly detection in multivariate time series","authors":"Haicheng Tao, Jiawei Miao, Lin Zhao, Zhenyu Zhang, Shuming Feng, Shu Wang, Jie Cao","doi":"10.1007/s11280-023-01171-1","DOIUrl":"https://doi.org/10.1007/s11280-023-01171-1","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76082482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1007/s11280-023-01153-3
Ruitao Hou, Teng Huang, Hongyang Yan, Lishan Ke, Weixuan Tang
{"title":"A stealthy and robust backdoor attack via frequency domain transform","authors":"Ruitao Hou, Teng Huang, Hongyang Yan, Lishan Ke, Weixuan Tang","doi":"10.1007/s11280-023-01153-3","DOIUrl":"https://doi.org/10.1007/s11280-023-01153-3","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88969022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-09DOI: 10.1007/s11280-023-01160-4
Jie Fu, Lina Wang, Jianpeng Ke, Kang Yang, Rongwei Yu
{"title":"GANAD: A GAN-based method for network anomaly detection","authors":"Jie Fu, Lina Wang, Jianpeng Ke, Kang Yang, Rongwei Yu","doi":"10.1007/s11280-023-01160-4","DOIUrl":"https://doi.org/10.1007/s11280-023-01160-4","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77833739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-09DOI: 10.1007/s11280-023-01148-0
Wenjun Jiang, Weiqi Dai, Qiwen Lv, Dongjun Ning, Sui Lin
{"title":"On-chain repairing for multi-party data migration","authors":"Wenjun Jiang, Weiqi Dai, Qiwen Lv, Dongjun Ning, Sui Lin","doi":"10.1007/s11280-023-01148-0","DOIUrl":"https://doi.org/10.1007/s11280-023-01148-0","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76198647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-08DOI: 10.1007/s11280-023-01159-x
Yilei Wang, Qingzhe Lv, Huang Zhang, Minghao Zhao, Yuhong Sun, Lingkai Ran, Tao Li
{"title":"Beyond model splitting: Preventing label inference attacks in vertical federated learning with dispersed training","authors":"Yilei Wang, Qingzhe Lv, Huang Zhang, Minghao Zhao, Yuhong Sun, Lingkai Ran, Tao Li","doi":"10.1007/s11280-023-01159-x","DOIUrl":"https://doi.org/10.1007/s11280-023-01159-x","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74582674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-08DOI: 10.1007/s11280-023-01136-4
Linyu Jiang, Yukun Yan, Zhihong Tian, Zuobin Xiong, Qilong Han
{"title":"Personalized sampling graph collection with local differential privacy for link prediction","authors":"Linyu Jiang, Yukun Yan, Zhihong Tian, Zuobin Xiong, Qilong Han","doi":"10.1007/s11280-023-01136-4","DOIUrl":"https://doi.org/10.1007/s11280-023-01136-4","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74920745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-08DOI: 10.1007/s11280-023-01172-0
Dayu Jia, Guanghong Yang, Min Huang, Junchang Xin, Guoren Wang, George Y Yuan
Blockchain is a key technology to realize decentralized trust management. In recent studies, sharding-based blockchain models are proposed and applied to the resource-constrained Internet of Things (IoT) scenario, and machine learning-based models are presented to improve the query efficiency of the sharding-based blockchains by classifying hot data and storing them locally. However, in some scenarios, these presented blockchain models cannot be deployed because the block features used as input in the learning method are privacy. In this paper, we propose an efficient privacy-preserving blockchain storage method for the IoT environment. The new method classifies hot blocks based on the federated extreme learning machine method and saves the hot blocks through one of the sharded blockchain models called ElasticChain. The features of hot blocks will not be read by other nodes in this method, and user privacy is effectively protected. Meanwhile, hot blocks are saved locally, and data query speed is improved. Furthermore, in order to comprehensively evaluate a hot block, five features of hot blocks are defined, including objective feature, historical popularity, potential popularity, storage requirements and training value. Finally, the experimental results on synthetic data demonstrate the accuracy and efficiency of the proposed blockchain storage model.
{"title":"An efficient privacy-preserving blockchain storage method for internet of things environment.","authors":"Dayu Jia, Guanghong Yang, Min Huang, Junchang Xin, Guoren Wang, George Y Yuan","doi":"10.1007/s11280-023-01172-0","DOIUrl":"10.1007/s11280-023-01172-0","url":null,"abstract":"<p><p>Blockchain is a key technology to realize decentralized trust management. In recent studies, sharding-based blockchain models are proposed and applied to the resource-constrained Internet of Things (IoT) scenario, and machine learning-based models are presented to improve the query efficiency of the sharding-based blockchains by classifying hot data and storing them locally. However, in some scenarios, these presented blockchain models cannot be deployed because the block features used as input in the learning method are privacy. In this paper, we propose an efficient privacy-preserving blockchain storage method for the IoT environment. The new method classifies hot blocks based on the federated extreme learning machine method and saves the hot blocks through one of the sharded blockchain models called ElasticChain. The features of hot blocks will not be read by other nodes in this method, and user privacy is effectively protected. Meanwhile, hot blocks are saved locally, and data query speed is improved. Furthermore, in order to comprehensively evaluate a hot block, five features of hot blocks are defined, including objective feature, historical popularity, potential popularity, storage requirements and training value. Finally, the experimental results on synthetic data demonstrate the accuracy and efficiency of the proposed blockchain storage model.</p>","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166043/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9770418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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