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学者姓名：何泾沙
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摘要 ：
基于贡献值证明(PoC)的区块链共识机制是面向知识产权保护与交易应用场景提出的一种区块链共识机制,通过计算节点用户的贡献值,由贡献值最大的节点获得新区块的记账权.然而,由于PoC会造成记账节点具有很强的确定性,一旦该节点未能正常完成记账出块,网络中其它节点将始终保持在挂起等待状态,系统将陷于停滞状态,无法继续运行.为了使PoC区块链共识机制能够适用于公有链应用场景,本文提出基于贡献值和难度值(PoC+PoW)的区块链共识机制,使选择新区块记账权的节点具备一定的不确定性,能够有效解决PoC共识机制中存在的系统运行挂起缺陷.在PoC+PoW共识机制中,节点在工作量证明(PoW)竞争中所对应数学难题的难度值根据节点的贡献值(PoC)进行动态确定,是一种对单纯基于PoC共识机制的灾备方案,以确保系统运行的可靠性.本文提出的PoC+PoW方案根据节点的贡献值排名为节点分配相应的PoW难度值,节点再通过PoW共识机制竞争记账权.引入PoW后的共识机制最大程度地尊重PoC贡献值排名,使节点的记账出块率与其贡献值成高度正比,在系统运行层面则保证记账出块率达到或无限趋近100%,有效解决PoC带来的系统运行挂起问题.本文从节点贡献值排名、相邻贡献值节点间值差以及分组方式三个角度设计PoW难度值分配算法,并通过实验验证难度值分配算法的合理性和有效性.同时,通过实验与传统PoC共识机制在记账出块时延方面进行对比分析,进一步验证了PoC+PoW方案的优越性和可行性.
关键词 ：
工作量证明 工作量证明 区块链 区块链 贡献值 贡献值 共识机制 共识机制 难度值 难度值 贡献值证明 贡献值证明
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| GB/T 7714 | 何泾沙 , 张琨 , 薛瑞昕 et al. 基于贡献值和难度值的高可靠性区块链共识机制 [J]. | 计算机学报 , 2021 , 44 (1) : 162-176 . |
| MLA | 何泾沙 et al. "基于贡献值和难度值的高可靠性区块链共识机制" . | 计算机学报 44 . 1 (2021) : 162-176 . |
| APA | 何泾沙 , 张琨 , 薛瑞昕 , 朱娜斐 , 贺鹏 , 宋洪宇 et al. 基于贡献值和难度值的高可靠性区块链共识机制 . | 计算机学报 , 2021 , 44 (1) , 162-176 . |
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摘要 ：
本发明提供一种基于本体推理的隐私信息访问控制方法及系统，涉及隐私保护领域，访问者发出访问请求，包括访问者账号和需访问信息；从资源服务器获取需访问信息中隐私主体的所有隐私信息点；根据隐私主体预设的隐私需求，包括阈值，获取各隐私信息点的隐私泄露值；根据各隐私信息点的隐私泄露值计算隐私主体泄露值；判断隐私主体泄露值是否大于阈值，若大于阈值，则拒绝访问者的访问；若小于或等于阈值，则根据访问者账号获取访问者的历史访问信息，结合历史访问信息和需访问信息计算新的隐私主体泄露值，若新的隐私主体泄露值大于阈值，则拒绝访问；若新的隐私主体泄露值小于等于阈值，则允许访问。本发明实现更加细粒度的个性化的访问控制。
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| GB/T 7714 | 何泾沙 , 靳姝婷 , 朱娜斐 et al. 一种基于本体推理的隐私信息访问控制方法及系统 : CN202110056973.7[P]. | 2021-01-15 . |
| MLA | 何泾沙 et al. "一种基于本体推理的隐私信息访问控制方法及系统" : CN202110056973.7. | 2021-01-15 . |
| APA | 何泾沙 , 靳姝婷 , 朱娜斐 , 潘世佳 , 陈宝存 . 一种基于本体推理的隐私信息访问控制方法及系统 : CN202110056973.7. | 2021-01-15 . |
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摘要 ：
通过访问控制的方法保护用户隐私被研究者们采纳,访问控制通过验证访问者的身份的合法性来限制非法用户对数据的访问,从而有效避免隐私泄露。但目前该方法存在不考虑用户隐私信息、访问控制粒度较粗等问题,不能满足所有隐私主体的需求,也不能最大限度地保护用户的隐私信息。文章提出一种基于本体推理的隐私信息保护访问控制机制,该机制能够从所有隐私主体的隐私信息角度出发,用本体推理的方法从访问控制粒度方面进行信息优化,从隐私主体的角度考虑更多隐私主体的隐私需求。实验结果表明文章提出的访问控制机制能够更好地保护用户隐私。
关键词 ：
本体推理 本体推理 隐私保护 隐私保护 语义分析 语义分析 访问控制 访问控制
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| GB/T 7714 | 靳姝婷 , 何泾沙 , 朱娜斐 et al. 基于本体推理的隐私保护访问控制机制研究 [J]. | 信息网络安全 , 2021 , 21 (08) : 52-61 . |
| MLA | 靳姝婷 et al. "基于本体推理的隐私保护访问控制机制研究" . | 信息网络安全 21 . 08 (2021) : 52-61 . |
| APA | 靳姝婷 , 何泾沙 , 朱娜斐 , 潘世佳 . 基于本体推理的隐私保护访问控制机制研究 . | 信息网络安全 , 2021 , 21 (08) , 52-61 . |
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摘要 ：
Mobile ad hoc networks (MANETs) are surrounded by various vulnerabilities and attacks due to open medium, dynamic topology, limited energy, and absence of central control. In MANET, each attack has different behavior and aftermaths. DoS attack is one of the serious attacks in MANET, which disturbs the normal routing process. Jellyfish (JF) attack is a type of DoS attack in MANET, whose dynamic behavior makes it quite difficult to detect such attacks. In this paper, we propose a technique to detect the jellyfish attack in MANET. The proposed technique combines the authentication and trustworthiness of nodes and the kNN algorithm for the identification of jellyfish attacks in which each and every node calculates the primary and secondary trust values to detect the attacking node by the recommendation of neighboring nodes and trust metrics. The kNN algorithm separates the jellyfish nodes from other legitimate nodes based on the differences in their behavior. The proposed technique would then pick reliable nodes by the hierarchical trust assessment property of nodes to perform packet routing. The experiment shows that the proposed technique could decrease delay and increase the throughput of the network by avoiding jellyfish nodes. © 2021
关键词 ：
Learning algorithms Learning algorithms Routing algorithms Routing algorithms Denial-of-service attack Denial-of-service attack Mobile security Mobile security Nearest neighbor search Nearest neighbor search Mobile ad hoc networks Mobile ad hoc networks
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| GB/T 7714 | Zardari, Zulfiqar Ali , He, Jingsha , Pathan, Muhammad Salman et al. Detection and Prevention of Jellyfish Attacks Using kNN Algorithm and Trusted Routing Scheme in MANET [J]. | International Journal of Network Security , 2021 , 23 (1) : 77-87 . |
| MLA | Zardari, Zulfiqar Ali et al. "Detection and Prevention of Jellyfish Attacks Using kNN Algorithm and Trusted Routing Scheme in MANET" . | International Journal of Network Security 23 . 1 (2021) : 77-87 . |
| APA | Zardari, Zulfiqar Ali , He, Jingsha , Pathan, Muhammad Salman , Qureshi, Sirajuddin , Hussain, Muhammad Iftikhar , Razaque, Fahad et al. Detection and Prevention of Jellyfish Attacks Using kNN Algorithm and Trusted Routing Scheme in MANET . | International Journal of Network Security , 2021 , 23 (1) , 77-87 . |
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摘要 ：
本发明公开了一种区块链数字货币的识别方法、装置、电子设备及存储介质，属于数字货币技术领域，包括获取数字货币的交易数据，并对交易数据按照交易地址进行聚类，绘制数字货币交易图，按照社群划分成多个社区；采用复杂网络分析方法计算每个社区的网络分析图指标；获取已知数字货币的交易图结构，并计算出已知数字货币的交易图结构的网络分析图指标；将所有的社区和已知数字货币的交易图结构合并组成数据集；对数据集进行识别，识别出数据集中的交易图结构。本发明可以识别数字货币的交易图结构和交易模式。
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| GB/T 7714 | 朱娜斐 , 薛瑞昕 , 何泾沙 et al. 区块链数字货币交易的识别方法、装置、电子设备及存储介质 : CN202110083604.7[P]. | 2021-01-21 . |
| MLA | 朱娜斐 et al. "区块链数字货币交易的识别方法、装置、电子设备及存储介质" : CN202110083604.7. | 2021-01-21 . |
| APA | 朱娜斐 , 薛瑞昕 , 何泾沙 , 何琳 , 王雅静 , 宋洪宇 et al. 区块链数字货币交易的识别方法、装置、电子设备及存储介质 : CN202110083604.7. | 2021-01-21 . |
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摘要 ：
Since digital forensics becomes more and more popular, more and more attention has been paid to the originality and validity of data, and data preservation technology emerges as the times require. However, the current data preservation models and technologies are only the combination of cryptography technology, and there is a risk of being attacked and cracked. And in the process of data preservation, human participation is also needed, which may lead to data tampering. To solve problems given, this paper presents a data preservation model based on blockchain and multidimensional hash. With the decentralization and smart contract characteristics of blockchain, data can be automatically preserved without human participation to form a branch chain of custody in the unit of case, and blockchain has good antiattack performance, which is the so-called 51% attack. Meanwhile, in order to solve the problem of data confusion and hard to query caused by the excessive number of cases, hash, cryptography, and timestamps are used to form a serialized main chain of custody. Because of the confliction problem of hash and judicial trial needs to absolutely guarantee the authenticity and validity of data, multidimensional hash is used to replace regular hash. In this way, the data preservation becomes an automatic, nonhuman-interventional process. Experiments have been carried out to show the security and effectiveness of the proposed model. © 2021 Gongzheng Liu et al.
关键词 ：
Blockchain Blockchain Cryptography Cryptography Digital forensics Digital forensics Electronic crime countermeasures Electronic crime countermeasures
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| GB/T 7714 | Liu, Gongzheng , He, Jingsha , Xuan, Xinggang . A Data Preservation Method Based on Blockchain and Multidimensional Hash for Digital Forensics [J]. | Complexity , 2021 , 2021 . |
| MLA | Liu, Gongzheng et al. "A Data Preservation Method Based on Blockchain and Multidimensional Hash for Digital Forensics" . | Complexity 2021 (2021) . |
| APA | Liu, Gongzheng , He, Jingsha , Xuan, Xinggang . A Data Preservation Method Based on Blockchain and Multidimensional Hash for Digital Forensics . | Complexity , 2021 , 2021 . |
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摘要 ：
The rapid development of object oriented programming (OOP) technology has made it one of the mainstream programming technologies that has been widely used in the design and development of object oriented software (OOS). The inheritance, encapsulation and polymorphism properties of object-oriented language can improve the reusability, scalability and interoperability of software while increasing the difficulty of testing OOS. Researchers have proposed a variety of testing methods to test OOS among which random testing (RT) has been widely used due to its simplicity and ease of use. An OMISS-ARTsum algorithm is proposed in this paper that uses improved OMISS random test FSCS-ART with max-sum standard, which is an implementation version of fixed-sized-candidate-set ART. The OMISS-ARTsum algorithm calculates the total distance between a candidate test case and the executed test case set before the next test case is selected from the set of candidate test cases. Unlike the traditional max-sum based FSCS-ART algorithm, OMIS S-ARTsum does not calculate the distance between each executed test case and the candidate case and then sum up the total distance, but uses the method of summing up all the executed test cases and the candidate cases. The information of executing test cases is saved as a whole and the distance between the executed test case set and candidate cases is calculated at the same time. Experiment shows that compared to the OMISS-ART algorithm, the proposed OMISS-ARTsum algorithm can reduce the time overhead.
关键词 ：
adaptive random testing adaptive random testing Object oriented software Object oriented software test input test input time cost time cost
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| GB/T 7714 | Zhou, Yue , Wang, Xiujun , Guo, Shu et al. A cost-effective adaptive random testing algorithm for object-oriented software testing [J]. | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2021 , 41 (3) : 4415-4423 . |
| MLA | Zhou, Yue et al. "A cost-effective adaptive random testing algorithm for object-oriented software testing" . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 41 . 3 (2021) : 4415-4423 . |
| APA | Zhou, Yue , Wang, Xiujun , Guo, Shu , Wen, Yi , He, Jingsha . A cost-effective adaptive random testing algorithm for object-oriented software testing . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2021 , 41 (3) , 4415-4423 . |
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摘要 ：
In the modern digital era, everyone is partially or fully integrated with cloud computing to access numerous cloud models, services, and applications. Multi-cloud is a blend of a well-known cloud model under a single umbrella to accomplish all the distinct nature and realm requirements under one service level agreement (SLA). In current era of cloud paradigm as the flood of services, applications, and data access rise over the Internet, the lack of confidentiality of the end user's credentials is rising to an alarming level. Users typically need to authenticate multiple times to get authority and access the desired services or applications. In this research, we have proposed a completely secure scheme to mitigate multiple authentications usually required from a particular user. In the proposed model, a federated trust is created between two different domains: consumer and provider. All traffic coming towards the service provider is further divided into three phases based on the concerned user's data risks. Single sign-on (SSO) and multifactor authentication (MFA) are deployed to get authentication, authorization, accountability, and availability (AAAA) to ensure the security and confidentiality of the end user's credentials. The proposed solution exploits the finding that MFA achieves a better AAAA pattern as compared to SSO.
关键词 ：
AAAA in multi-cloud AAAA in multi-cloud federated trust in multi-cloud federated trust in multi-cloud multi-cloud security multi-cloud security multifactor authentication multifactor authentication single sign on single sign on
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| GB/T 7714 | Hussain, Muhammad Iftikhar , He, Jingsha , Zhu, Nafei et al. AAAA: SSO and MFA Implementation in Multi-Cloud to Mitigate Rising Threats and Concerns Related to User Metadata [J]. | APPLIED SCIENCES-BASEL , 2021 , 11 (7) . |
| MLA | Hussain, Muhammad Iftikhar et al. "AAAA: SSO and MFA Implementation in Multi-Cloud to Mitigate Rising Threats and Concerns Related to User Metadata" . | APPLIED SCIENCES-BASEL 11 . 7 (2021) . |
| APA | Hussain, Muhammad Iftikhar , He, Jingsha , Zhu, Nafei , Sabah, Fahad , Zardari, Zulficiar Ali , Hussain, Saqib et al. AAAA: SSO and MFA Implementation in Multi-Cloud to Mitigate Rising Threats and Concerns Related to User Metadata . | APPLIED SCIENCES-BASEL , 2021 , 11 (7) . |
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摘要 ：
Blockchain has received a lot of attention recently for its characteristics of decentralization, immutability, traceability, etc., making it a promising technology for the development of various applications, especially the management of various digital information. However, most current blockchain systems exhibit problems such as high computational overhead and centralization of power. Reliance on cryptocurrency in many public blockchain-based applications is another factor that has hindered the application of blockchain technology in areas other than the financial sectors. This paper proposes a new blockchain consensus mechanism based on the contributions of participants. The proposed consensus mechanism, which is called proof-of-contribution (PoC), quantifies user behaviors and actions in a blockchain-based application as contribution values calculated through an algorithm. The node that has the highest contribution value in each round of consensus gets the right to generate the next new block. PoC preserves the properties of decentralization and resistance to hard fork and does not rely on cryptocurrency, making it attractive over cryptocurrency-based consensus mechanisms like proof-of-work (PoW) for a wide variety of applications that do not have to involve cryptocurrency. Contribution values can be abstracted from applications and used in the underlying blockchain consensus process to improve the security and trustworthiness of the applications. Intellectual property (IP) protection is one such application to apply the blockchain technology and the PoC consensus mechanism. However, existing blockchain-based IP protection systems are mostly developed based on public blockchain platforms such as the Ethereum while some others are developed as consortium blockchains, thus exhibiting inherent defects such as high system requirements, long consensus delay, and low user participation. In this paper, we will use IP protection as the application scenario to illustrate the development of our PoC consensus mechanism and will compare PoC to some existing consensus mechanisms. Experimental results will show that the proposed PoC consensus mechanism preserves most of the main security characteristics of blockchain and is superior to existing consensus mechanisms, making it more secure and efficient to use blockchain technology for digital information management. © 2021 Elsevier Ltd
关键词 ：
Behavioral research Behavioral research Blockchain Blockchain Cryptocurrency Cryptocurrency Information management Information management Intellectual property Intellectual property Network security Network security
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| GB/T 7714 | Song, Hongyu , Zhu, Nafei , Xue, Ruixin et al. Proof-of-Contribution consensus mechanism for blockchain and its application in intellectual property protection [J]. | Information Processing and Management , 2021 , 58 (3) . |
| MLA | Song, Hongyu et al. "Proof-of-Contribution consensus mechanism for blockchain and its application in intellectual property protection" . | Information Processing and Management 58 . 3 (2021) . |
| APA | Song, Hongyu , Zhu, Nafei , Xue, Ruixin , He, Jingsha , Zhang, Kun , Wang, Jianyu . Proof-of-Contribution consensus mechanism for blockchain and its application in intellectual property protection . | Information Processing and Management , 2021 , 58 (3) . |
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摘要 ：
Internet of Things (IoT) has caused significant digital disruption to the future of the digital world. With the emergence of the 5G technology, IoT would shift rapidly from aspirational vision to real-world applications. However, one of the most pressing issues in IoT is security. Routing protocols of the IoT, such as the Routing Protocol for Low-power and lossy network protocol (RPL), are vulnerable to both insider and outsider attacks with the insider ones being more challenging because they are more difficult to detect and mitigate. Among the most concerning insider attacks to RPL in IoT applications is the Version Number Attacks (VNAs) that target the global repair mechanisms by consuming resources of IoT devices, such as power, memory, and processing power, to eventually cause the IoT ecosystem to collapse. In this paper, a lightweight VNA detection model named ML-LGBM is proposed. The work on the ML-LGBM model includes the development of a large VNA dataset, a feature extraction method, an LGBM algorithm and maximum parameter optimization. Results of extensive experiments demonstrate the advantages of the proposed ML-LGBM model based on several metrics, such as accuracy, precision, F-score, true negative rate and false-positive rate of 99.6%, 99%, 99.6%, 99.3% and 0.0093, respectively. Moreover, the proposed ML-LGBM model has slower execution time and less memory resource requirement of 140.217 seconds and 347,530 bytes, making it suitable for resource-constrained IoT devices.
关键词 ：
6LowPAN 6LowPAN Feature extraction Feature extraction Internet of Things Internet of Things IoT IoT machine learning machine learning Operating systems Operating systems Random access memory Random access memory Routing protocols Routing protocols RPL attacks RPL attacks RPL protocol RPL protocol Testing Testing Training Training
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| GB/T 7714 | Osman, Musa , He, Jingsha , Mokbal, Fawaz Mahiuob Mohammed et al. ML-LGBM: A Machine Learning Model Based on Light Gradient Boosting Machine for the Detection of Version Number Attacks in RPL-Based Networks [J]. | IEEE ACCESS , 2021 , 9 : 83654-83665 . |
| MLA | Osman, Musa et al. "ML-LGBM: A Machine Learning Model Based on Light Gradient Boosting Machine for the Detection of Version Number Attacks in RPL-Based Networks" . | IEEE ACCESS 9 (2021) : 83654-83665 . |
| APA | Osman, Musa , He, Jingsha , Mokbal, Fawaz Mahiuob Mohammed , Zhu, Nafei , Qureshi, Sirajuddin . ML-LGBM: A Machine Learning Model Based on Light Gradient Boosting Machine for the Detection of Version Number Attacks in RPL-Based Networks . | IEEE ACCESS , 2021 , 9 , 83654-83665 . |
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