|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Identity Based Encryption and Biometric Authentication Scheme for Secure Data Access in Cloud Computing显示文摘 | CHENG Hongbing RONG Chunming TAN Zhenghua ZENG Qingkai | 2012 | Chinese Journal of Electronics2012，21，2： | 10 |
| 2 | Secure Big Data Storage and Sharing Scheme for Cloud Tenants显示文摘The Cloud is increasingly being used to store and process big data for its tenants and classical security mechanisms using encryption are neither sufficiently efficient nor suited to the task of protecting big data in the Cloud.In this paper,we present an alternative approach which divides big data into sequenced parts and stores them among multiple Cloud storage service providers.Instead of protecting the big data itself,the proposed scheme protects the mapping of the various data elements to each provider using a trapdoor function.Analysis,comparison and simulation prove that the proposed scheme is efficient and secure for the big data of Cloud tenants. | CHENG Hongbing RONG Chunming HWANG Kai WANG Weihong LI Yanyan | 2015 | China Communications2015，12，6： | 10 |
| 3 | A novel key pre-distribution scheme for wireless distributed sensor networks显示文摘A novel key pre-distribution scheme for sensor networks is proposed, which enables sensor nodes to communicate securely with each other using cryptographic techniques. The approach uses the rational normal curves in the projective space with the dimension n over the finite field F q . Both secure connectivity and resilience of the resulting sensor networks are analyzed. By choosing the parameters q and n properly, this key pre-distribution scheme has some advantages over the previous known schemes. In addition, if the number of the rational normal curves in the scheme becomes too large for an application, the size may be reduced by choosing a part of the curves randomly. This reduction has, shown by our experiments, only minimal impact on secure connectivity and resilience of the resulting sensor network. | PEI DingYi DONG JunWu RONG ChunMing | 2010 | Science China(Information Sciences)2010，53，2： | 6 |
| 4 | ContractGuard:面向以太坊区块链智能合约的入侵检测系统显示文摘以太坊智能合约本质上是一种在网络上由相互间没有信任关系的节点共同执行的已被双方认证程序。目前,大量的智能合约被用于管理数字资产,使智能合约成为黑客的重要攻击对象。常见的攻击方法是通过利用智能合约的漏洞来实现特定操作的入侵攻击。ContractGuard是首次提出面向以太坊区块链智能合约的入侵检测系统,它能检测智能合约的潜在攻击行为。ContractGuard的入侵检测主要依赖检测潜在攻击可能引发的异常控制流来实现。由于智能合约运行在去中心化的环境以及在高度受限的环境中运行,现有的IDS技术或者工具等以外部拦截形式的部署架构不适合于以太坊智能合约。为了解决这些问题,通过设计一个嵌入式的架构,实现了把ContractGuard直接嵌入智能合约的执行代码中,作为智能合约的一部分。在运行时刻,ContractGuard通过相应的context-tagged无环路径来实现入侵检测,从而保护智能合约。由于嵌入了额外的代码,ContractGuard一定程度上会增加智能合约的部署开销与运行开销,为了降低这两方面的开销,基于以太坊智能合约的特性对ContractGuard进行优化。实验结果显示,可有效地检测83%的异常行为,其部署开销仅增加了36.14%,运行开销仅增加了28.17%。 | 赵淦森 谢智健 王欣明 何嘉浩 张成志 林成创 Ziheng Zhou 陈冰川 Chunming Rong | 2020 | 网络与信息安全学报2020，6，2： | 2 |
| 5 | On-Line E-Wallet System with decentralized keepers显示文摘 | MJOLSNES S F RONG Chunming | 2003 | Mobile Networks and Applications2003，，8： | 1 |
| 6 | A Distributed Honeypots for Grid Security显示文摘 | YANG Geng RONG Chunming DAI Yueping | 2004 | Lecture Notes in Computer Science2004，3032，： | 1 |
| 7 | Privacy Preserving Data Analytics for Smart Homes 显示文摘 | Antorweep Chakravorty Tomasz Wlodm'czyk Chunming Rong | 2013 | IEEE Security and Privacy Workshops2013，，： | 1 |
| 8 | Identity-based Key Agreement and Encryption for Wireless Sensor Networks显示文摘 | Geng Yang Chunming Rong Christian Veigner | 2006 | Journal of China Universities of Posts and Telecommunications2006，13，4： | 1 |
| 9 | Beyond lightning: A survey on security challenges in cloud computing显示文摘 | Chunming Rong Son T. Nguyen Martin Gilje Jaatun | 2012 | Computers and Electrical Engineering2012，，： | 1 |
| 10 | Chloroaluminate ionic liquid catalyzed isomerization of n-pentane in the presence of product distribution improver显示文摘The ionic liquid Et3NHCl-2AlCl3 can catalyze the isomerization of n-pentane.This paper investigates the ionic liquid catalyzed isomerization performance of n-pentane with several product distribution improvers in an autoclave.The product distribution of n-pentane isomerization could be improved by such improvers as benzene,cyclohexane,and methyl cyclohexane at the expense of conversion of n-pentane.The optimal product distribution improver was determined to be cyclohexane.The yield of isomerate and the selectivity of liquid isoalkanes increased,whereas the conversion of n-pentane decreased,with increasing cyclohexane amount.At the same conversion of n-pentane,the research octane number(RON) of liquid product,with cyclohexane amount of 0.5 wt%,was about 1.3 higher than that without cyclohexane.At the same reaction conditions,the presence of cyclohexane enhanced the yield of isomerate,the selectivity of liquid isoalkanes,and the RON of the liquid product,but reduced the conversion of n-pentane. | Xia Rong'an Zhang Rui Meng Xianghai Liu Zhichang Meng Jiaying Xu Chunming | 2011 | Petroleum Science2011，8，2： | 1 |
| 11 | A Novel Approach for Role-Based Access Control显示文摘 | YANG Geng RONG Chunming SHEN Jiangang WANG Jiangtao | 2007 | Chinese Journal of Electronics2007，16，1： | 1 |
| 12 | CO 2 laser scan- ning repair fused silica surface defects显示文摘 | Jiang Yong He Shaobo Yuan Xiaodong Wang Haijun Li- ao Wei Lv Haibing Liu Chunming Xiang Xia Qiu Rong Yang Yongjia Zheng Wanguo the experimental researches and numerical simulations of Zu Xiaotao | 2014 | Journal of phys- ics2014，，06： | 1 |
| 13 | Integrating big data and blockchain to manage energy smart grids—TOTEM framework显示文摘The demand for electricity is increasing exponentially day by day,especially with the arrival of electric vehicles.In the smart community neighborhood project,electricity should be produced at the household or community level and sold or bought according to the demands.Since the actors can produce,sell,and buy according to the demands,thus the name prosumers.ICT solutions can contribute to this in several ways,such as machine learning for analyzing the household data for customer demand and peak hours for the usage of electricity,blockchain as a trustworthy platform for selling or buying,data hub,and ensuring data security and privacy of prosumers.TOTEM:Token for controlled computation is a framework that allows users to analyze the data without moving the data from the data owner's environment.It also ensures the data security and privacy of the data.Here,in this article,we will show the importance of the TOTEM architecture in the EnergiX project and how the extended version of TOTEM can be efficiently merged with the demands of the current and similar projects. | Dhanya Therese Jose Jørgen Holme Antorweep Chakravorty Chunming Rong | 2022 | Blockchain(Research and Applications)2022，3，3： | 0 |
| 14 | Edge Computing显示文摘Edge computing refers to the computing paradigm in which the processing power, communication capabilities and intelligence are pushed down to the edge of the networking system like gateways and devices, where the data originates. In doing so, edge computing enables an infrastructure for processing the data directly from devices with low latency, battery consumption and bandwidth cost. With opportunities for research and advanced applications such as augmented reality and wearable cognitive assistance come new challenges. This special issue reports the current re? search on various topics related to edge computing, addressing the challenges in the enabling technologies and practical implementations. | CAO Jiannong RONG Chunming | 2017 | ZTE Communications2017，15，2： | 0 |
| 15 | Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering显示文摘Peak mitigation is of interest to power companies as peak periods may require the operator to over provision supply in order to meet the peak demand.Flattening the usage curve can result in cost savings,both for the power companies and the end users.Integration of renewable energy into the energy infrastructure presents an opportunity to use excess renewable generation to supplement supply and alleviate peaks.In addition,demand side management can shift the usage from peak to off-peak times and reduce the magnitude of peaks.In this work,we present a data driven approach for incentive-based peak mitigation.Understanding user energy profiles is an essential step in this process.We begin by analysing a popular energy research dataset published by the Ausgrid corporation.Extracting aggregated user energy behavior in temporal contexts and semantic linking and contextual clustering give us insight into consumption and rooftop solar generation patterns.We implement,and performance test a blockchain-based prosumer incentivization system.The smart contract logic is based on our analysis of the Ausgrid dataset.Our implementation is capable of supporting 792,540 customers with a reasonably low infrastructure footprint. | Nikita Karandikar Rockey Abhishek Nishant Saurabh Zhiming Zhao Alexander Lercher Ninoslav Marina Radu Prodan Chunming Rong Antorweep Chakravorty | 2021 | Blockchain(Research and Applications)2021，2，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员