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240 results on '"Wang, Lianhai"'

4. A Method of Traceless File Deletion for NTFS File System

Author

Xu, Shujiang, Wang, Fansheng, Wang, Lianhai, Chang, Xu, Yang, Tongfeng, Yang, Weijun, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chen, Xiaofeng, editor, Shen, Jian, editor, and Susilo, Willy, editor

Published
2022
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8. Research on Task Allocation and Resource Scheduling Method in Cloud Environment

Author

Wang, Pengpeng, Dong, Kaikun, Liu, Hongri, Wang, Bailing, Wang, Wei, Wang, Lianhai, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Xhafa, Fatos, editor, Patnaik, Srikanta, editor, and Tavana, Madjid, editor

Published
2020
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9. The Design of a Cloud Forensics Middleware System Base on Memory Analysis

Author

Yang, Shumian, Wang, Lianhai, Zhao, Dawei, Liu, Guangqi, Zhang, Shuhui, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Madureira, Ana Maria, editor, Abraham, Ajith, editor, Gandhi, Niketa, editor, Silva, Catarina, editor, and Antunes, Mário, editor

Published
2020
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11. The robustness of interdependent networks under the interplay between cascading failures and virus propagation

Author

Zhao, Dawei, Wang, Zhen, Xiao, Gaoxi, Gao, Bo, and Wang, Lianhai

Subjects
Computer Science - Social and Information Networks, Physics - Physics and Society
Abstract

Cascading failures and epidemic dynamics, as two successful application realms of network science, are usually investigated separately. How do they affect each other is still one open, interesting problem. In this letter, we couple both processes and put them into the framework of interdependent networks, where each network only supports one dynamical process. Of particular interest, they spontaneously form a feedback loop: virus propagation triggers cascading failures of systems while cascading failures suppress virus propagation. Especially, there exists crucial threshold of virus transmissibility, above which the interdependent networks collapse completely. In addition, the interdependent networks will be more vulnerable if the network supporting virus propagation has denser connections; otherwise the interdependent systems are robust against the change of connections in other layer(s). This discovery differs from previous framework of cascading failure in interdependent networks, where better robustness usually needs denser connections. Finally, to protect interdependent networks we also propose the control measures based on the identification capability. The larger this capability, more robustness the interdependent networks will be.

Published
2016
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12. The robustness of multiplex networks under layer node-based attack

Author

Zhao, Dawei, Wang, Lianhai, and Wang, Zhen

Subjects
Computer Science - Social and Information Networks, Computer Science - Systems and Control, Physics - Physics and Society
Abstract

From transportation networks to complex infrastructures, and to social and economic networks, a large variety of systems can be described in terms of multiplex networks formed by a set of nodes interacting through different network layers. Network robustness, as one of the most successful application areas of complex networks, has also attracted great interest in both theoretical and empirical researches. However, the vast majority of existing researches mainly focus on the robustness of single-layer networks an interdependent networks, how multiplex networks respond to potential attack is still short of further exploration. Here we study the robustness of multiplex networks under two attack strategies: layer node-based random attack and layer node-based targeted attack. A theoretical analysis framework is proposed to calculate the critical threshold and the size of giant component of multiplex networks when a fraction of layer nodes are removed randomly or intentionally. Via numerous simulations, it is unveiled that the theoretical method can accurately predict the threshold and the size of giant component, irrespective of attack strategies. Moreover, we also compare the robustness of multiplex networks under multiplex node-based attack and layer node-based attack, and find that layer node-based attack makes multiplex networks more vulnerable, regardless of average degree and underlying topology. Our finding may shed new light on the protection of multiplex networks.

Published
2015

13. A Method for User Avatar Authenticity Based on Multi-feature Fusion

Author

Zhang, Weinan, Wang, Lianhai, Zan, Yongli, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zhang, Qi, editor, Liao, Xiangwen, editor, and Ren, Zhaochun, editor

Published
2019
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21. Role Recognition of Illegal Online Gambling Participants Using Monetary Transaction Data

Author

Han, Xiaohui, Wang, Lianhai, Xu, Shujiang, Zhao, Dawei, Liu, Guangqi, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Naccache, David, editor, Xu, Shouhuai, editor, Qing, Sihan, editor, Samarati, Pierangela, editor, Blanc, Gregory, editor, Lu, Rongxing, editor, Zhang, Zonghua, editor, and Meddahi, Ahmed, editor

Published
2018
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22. Improving Security in the Internet of Vehicles: A Blockchain-Based Data Sharing Scheme.

Author

Wang, Lianhai and Guan, Chenxi

Subjects
INTERNET security, INFORMATION sharing, TELECOMMUNICATION systems, EUCLIDEAN distance, DYNAMICAL systems, BLOCKCHAINS
Abstract

To ensure the aggregation of a high-quality global model during the data-sharing process in the Internet of Vehicles (IoV), current approaches primarily utilize gradient detection to mitigate malicious or low-quality parameter updates. However, deploying gradient detection in plain text neglects adequate privacy protection for vehicular data. This paper proposes the IoV-BDSS, a novel data-sharing scheme that integrates blockchain and hybrid privacy technologies to protect private data in gradient detection. This paper utilizes Euclidean distance to filter the similarity between vehicles and gradients, followed by encrypting the filtered gradients using secret sharing. Moreover, this paper evaluates the contribution and credibility of participating nodes, further ensuring the secure storage of high-quality models on the blockchain. Experimental results demonstrate that our approach achieves data sharing while preserving privacy and accuracy. It also exhibits resilience against 30% poisoning attacks, with a test error rate remaining below 0.16. Furthermore, our scheme incurs a lower computational overhead and faster inference speed, markedly reducing experimental costs by approximately 26% compared to similar methods, rendering it suitable for highly dynamic IoV systems with unstable communication. [ABSTRACT FROM AUTHOR]

Published
2024
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23. A Blockchain-Based Privacy-Preserving Healthcare Data Sharing Scheme for Incremental Updates.

Author

Wang, Lianhai, Liu, Xiaoqian, Shao, Wei, Guan, Chenxi, Huang, Qihao, Xu, Shujiang, and Zhang, Shuhui

Subjects
*INFORMATION sharing, *DATA privacy, *ARTIFICIAL intelligence, *HEALTH care industry, *PERSONALLY identifiable information, *BLOCKCHAINS, *ACCESS control
Abstract

With the rapid development of artificial intelligence (AI) in the healthcare industry, the sharing of personal healthcare data plays an essential role in advancing medical AI. Unfortunately, personal healthcare data sharing is plagued by challenges like ambiguous data ownership and privacy leakage. Blockchain, which stores the hash of shared data on-chain and ciphertext off-chain, is treated as a promising approach to address the above issues. However, this approach lacks a flexible and reliable mechanism for incremental updates of the same case data. To avoid the overhead of authentication, access control, and rewards caused by on-chain data changes, we propose a blockchain and trusted execution environment (TEE)-based privacy-preserving sharing scheme for healthcare data that supports incremental updates. Based on chameleon hash and TEE, the scheme achieves reliable incremental updates and verification without changing the on-chain data. In the scheme, for privacy concerns, off-chain data are protected through symmetric encryption, whereas data verification, decryption, and computation are performed within TEE. The experimental results show the feasibility and effectiveness of the proposed scheme. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Research on Linux Kernel Version Diversity for Precise Memory Analysis

Author

Zhang, Shuhui, Meng, Xiangxu, Wang, Lianhai, Liu, Guangqi, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Zou, Beiji, editor, Li, Min, editor, Wang, Hongzhi, editor, Song, Xianhua, editor, Xie, Wei, editor, and Lu, Zeguang, editor

Published
2017
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27. The Categories of Quantum Information Hiding Protocol

Author

Xu, Shujiang, Wang, Lianhai, Liu, Guangqi, Han, Xiaohui, Zhao, Dawei, Xu, Lijuan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Sun, Xingming, editor, Chao, Han-Chieh, editor, You, Xingang, editor, and Bertino, Elisa, editor

Published
2017
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33. Efficient Certificateless Online/Offline Signcryption Scheme Without Bilinear Pairing for Smart Home Consumer Electronics

Author

An, Haoyang, He, Debiao, Peng, Cong, Luo, Min, and Wang, Lianhai

Abstract

Smart home refers to the automation and intelligent management of family life using information technology and Internet of Things technology, including various smart household appliances and low-power sensors. Low-power sensors can monitor the home environment and share data with household appliances, and users can remotely control household appliances through smartphones and other devices. With the popularity of consumer electronic devices, smart home has become an indispensable part of our life. Smart home data security and privacy leakage accidents occur frequently, how to protect data confidentiality and unforgeability for low-power smart home consumer electronics is a key problem. To solve this problem, scholars have proposed many cryptographic schemes. However, the existing schemes have low computational efficiency, high communication overhead, and poor adaptation to application scenarios. Therefore, to realize secure lightweight data sharing in smart home systems, we propose an efficient certificateless online/offline signcryption (CLOOSC) scheme without bilinear pairing. The performance analysis demonstrates that our scheme has an order of magnitude advantage in computation and communication overhead compared with bilinear pairing-based CLOOSC. Compared with the latest pairing-free CLOOSC scheme, our proposed approach significantly reduces the computational cost by one-third during the offline signcryption phase while maintaining the same communication overhead. The proposed cryptographic algorithm has made a substantial contribution to the data security sharing in smart homes.

Published
2024
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34. A privacy-preserving and efficient data sharing scheme with trust authentication based on blockchain for mHealth.

Author

Xu, Shujiang, Zhong, Jinrong, Wang, Lianhai, He, Debiao, Zhang, Shuhui, and Shao, Wei

Abstract

The mobile healthcare (mHealth) is a promising and fascinating paradigm, which can dramatically improve the quality of healthcare delivery by providing remote diagnosis and medical record sharing. Now, the mHealth faces serious challenges such as data leakage and unauthorised access currently. Attribute-based encryption (ABE) which has been employed for mHealth is an excellent cryptographic primitive of securing data sharing. However, there are still some security and efficiency issues in the ABE-based data sharing scheme for mHealth. Firstly, the explicit storage of access policy may expose the privacy of users. Secondly, the computation cost is high, especially in the mHealth with IoT devices. Thirdly, the authentication of access rights to shared data is usually performed by the centralised third parties or IoT devices with limited resources. To handle the above issues, this paper presents a privacy-preserving and efficient data sharing scheme. The scheme partially hides access policy to protect user's privacy, and introduces an offline mechanism in key generation and encryption phase to improve efficiency of mHealth. Furthermore, it also provides decentralised and trusted authentication of data access right based on blockchain. The security proofs and the experiment results demonstrate that the presented scheme has better security and efficiency. [ABSTRACT FROM AUTHOR]

Published
2023
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36. Decryption and Forensic System for Encrypted iPhone Backup Files Based on Parallel Random Search

Author

Ge, Liang, Wang, Lianhai, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Liu, Ting, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Niu, Wenjia, editor, Li, Gang, editor, Liu, Jiqiang, editor, Tan, Jianlong, editor, Guo, Li, editor, Han, Zhen, editor, and Batten, Lynn, editor

Published
2015
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41. Research of Password Recovery Method for RAR Based on Parallel Random search

Author

Ge, Liang, Wang, Lianhai, Junqueira Barbosa, Simone Diniz, Series editor, Chen, Phoebe, Series editor, Cuzzocrea, Alfredo, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Ślęzak, Dominik, Series editor, Washio, Takashi, Series editor, Yang, Xiaokang, Series editor, Batten, Lynn, editor, Li, Gang, editor, Niu, Wenjia, editor, and Warren, Matthew, editor

Published
2014
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49. Network Connections Information Extraction of 64-Bit Windows 7 Memory Images

Author

Wang, Lianhai, Xu, Lijuan, Zhang, Shuhui, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Lai, Xuejia, editor, Gu, Dawu, editor, Jin, Bo, editor, Wang, Yongquan, editor, and Li, Hui, editor

Published
2011
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50. Live Memory Acquisition through FireWire

Author

Zhang, Lei, Wang, Lianhai, Zhang, Ruichao, Zhang, Shuhui, Zhou, Yang, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Lai, Xuejia, editor, Gu, Dawu, editor, Jin, Bo, editor, Wang, Yongquan, editor, and Li, Hui, editor

Published
2011
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