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Privacy beyond sensitive values

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Science China(Information Sciences) 2015年第7期58卷 172-186页

作者： HUANG XueZhen liu jiqiang HAN Zhen YANG Jun School of Computer and Information Technology Beijing Jiaotong University

Privacy-preserving data publishing(PPDP) has become one of the hot topics in the field of network security. The existing privacy-preserving work cannot deal with vulnerability in sensitivity, under which an attacker can effectively infer the victim's sensitivity of the sensitive value with limited knowledge. In this paper, we propose a novel privacy model,(V, L)-anonymity, to avoid sensitivity vulnerability while having the capabilities of the existing PPDP models. This model considers the difference among sensitive values(SV)and applies SV classification, named as sensitivity levels. The model can be applied not only to the single attribute, but also to multiple sensitive attributes situation. We use(l1,l2)-diversity to validate the capability of our model theoretically. We carry out extensive experiments to verify the improvement on effectiveness and efficiency. Furthermore, we present a Levels of Sensitive Values(LSV) measure to calculate the sensitivity level.

关键词： data publishing data security privacy protection anonymity sensitivity classification

Fingerprinting Android malware families

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Frontiers of Computer Science 2019年第3期13卷 637-646页

作者： Nannan XIE Xing WANG Wei WANG jiqiang liu Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing Jiaotong University Beijing 100044 China School of Computer Science and Technology Changchun University of Science and Technology Changchun 130022 China

The domination of the Android operating system in the market share of smart terminals has engendered increasing threats of malicious applications (apps). Research on Android malware detection has received considerable attention in academia and the industry. In particular, studies on malware families have been beneficial to malware detection and behavior analysis. However, identifying the characteristics of malware families and the features that can describe a particular family have been less frequently discussed in existing work. In this paper, we are motivated to explore the key features that can classify and describe the behaviors of Android malware families to enable fingerprinting the malware families with these features. We present a framework for signature-based key feature construction. In addition, we propose a frequency-based feature elimination algorithm to select the key features. Finally, we construct the fingerprints of ten malware families, including twenty key features in three categories. Results of extensive experiments using Support Vector Machine demonstrate that the malware family classification achieves an accuracy of 92% to 99%. The typical behaviors of malware families are analyzed based on the selected key features. The results demonstrate the feasibility and efFectiveness of the presented algorithm and fingerprinting method.

关键词： Android malware malware family feature selection behavior analysis

Fluid/melt inclusions in Cenozoic mantle xenoliths from Linqu, Shandong Province, eastern China: Implications for asthenosphere-lithosphere interactions

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Chinese Science Bulletin 2010年第11期55卷 1067-1076页

作者： liu jiqiang CHEN LiHui NI Pei State Key Laboratory for Mineral Deposit Research Institute of Geo-Fluid Research School of Earth Sciences and Engineering Nanjing Univer-sity Nanjing 210093 China

Fluid and melt inclusions in mantle xenoliths are thought as direct samples to study mantle liquids. Here we apply Raman mi- crospectroscopy and microthermometry to fluid/melt inclusions in lherzolite xenoliths in Qiaoshan basalts, a Miocene volcano in Linqu, Shandong Province, eastern China. These inclusions include (1) early CO2 fluid inclusions, (2) early carbonate melt inclu-sions, (3) late CO2 fluid inclusions, and (4) late silicate melt inclusions. Among the early CO2 fluid inclusions, most consist of high-density pure CO2, while others have small amounts of other components besides of CO2, including graphite, magnesite, Mg-calcite, CO and N2. The lowest trapping pressures are estimated to be 1.42 GPa and 0.80 GPa for the early and the late fluid inclusions, respectively. Because orthopyroxene is the main host mineral for the early carbonate melt inclusions, we propose that the formation of these carbonate melts is genetically associated with the interactions between CO2 fluids and silicate minerals, e.g. olivine and clinopyroxene. The diversity of minor components in the early CO2 fluid inclusions indicates that mantle peridotites had undergone redox reactions with penetrating fluids/melts. These observations suggest that the compositions of the lithospheric mantle beneath the studied area had been changed by asthenosphere-derived CO2-rich fluids/melts.

关键词：流体包裹体熔融包裹体岩石圈地幔地幔包体相互作用中国东部软流圈山东省

A Multi-Level Authorization Based Tenant Separation Mechanism in Cloud Computing Environment

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China Communications 2016年第5期13卷 162-171页

作者： Wei Ma Zhen Han Xiaoyong Li jiqiang liu Department of Information Engineering North China University of Water Resources and Electric Power School of Computer and Information Technology Beijing Jiaotong University

Separation issue is one of the most important problems about cloud computing security. Tenants should be separated from each other based on cloud infrastructure and different users from one tenant should be separated from each other with the constraint of security policies. Learning from the notion of trusted cloud computing and trustworthiness in cloud, in this paper, a multi-level authorization separation model is formally described, and a series of rules are proposed to summarize the separation property of this model. The correctness of the rules is proved. Furthermore, based on this model, a tenant separation mechanism is deployed in a real world mixed-critical information system. Performance benchmarks have shown the availability and efficiency of this mechanism.

关键词： separation cloud computing multi-level authorization model security model

Fluid Inclusion Studies of Ore and Gangue Minerals from the Piaotang Tungsten Deposit, Southern Jiangxi Province, China

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Acta Geologica Sinica(English Edition) 2022年第5期96卷 1647-1658页

作者： WANG Xudong NI Pei YUAN Shunda liu jiqiang LI Mingyong liu Hongxin Yuanpei College of Shaoxing University ShaoxingZhejiang 312000China State Key Laboratory for Mineral Deposit Research Institute of Geo-FluidsSchool of Earth Science and EngineeringNanjing UniversityNanjing 210093China MLR Key Laboratory of Metallogeny and Mineral Assessment Institute of Mineral ResourcesChinese Academy of Geological SciencesBeijing 100037China Key Laboratory of Submarine Geosciences Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China

The Piaotang deposit is one of the largest vein-type W-polymetallic deposits in southern Jiangxi Province,South *** coexistence of wolframite and cassiterite is an important feature of the *** on detailed petrographic observations,microthermometry of fluid inclusions in wolframite,cassiterite and intergrown quartz was *** inclusions in wolframite were observed by infrared microscope,while those in cassiterite and quartz were observed in visible *** fluid inclusions in wolframite can be divided into two types:aqueous inclusions with a large vapor-phase proportion and aqueous inclusions with a small vapor-phase *** homogenization temperature(Th)of inclusions in wolframite with large vapor-phase ratios ranged from 280℃ to 390℃,with salinity ranging from 3.1 to 7.2 wt%NaCl *** contrast,the Th values of inclusions with small vapor-phase ratios ranged from 216℃ to 264℃,with salinity values ranging from 3.5 to 9.3 wt%NaCl eq.T_(h) values of primary inclusions in cassiterite ranged from 316℃ to 380℃,with salinity ranging from 5.4 to 9.3 wt%NaCl eq.T_(h) values for primary fluid inclusions in quartz ranged from 162℃ to 309℃,with salinity values ranging from 1.2 to 6.7 wt%NaCl *** results show that the formation conditions of wolframite,cassiterite and intergrown quartz are not *** evolutionary processes of fluids related to these three kinds of minerals are also significantly *** quartz cannot provide the depositional conditions of wolframite and *** fluids related to tungsten mineralization for the NaCl-H_(2)O system had a medium-to-high temperature and low salinity,while the fluids related to tin mineralization for the NaCl-H_(2)O system had a high temperature and medium-to-low *** results of this study suggest that fluid cooling is the main mechanism for the precipitation of tungsten and tin.

关键词： fluid inclusion ore mineral gangue mineral infrared microscopic study quartz-vein-type-tungsten deposit Piaotang

Attacks Against Cross-Chain Systems and Defense Approaches:A Contemporary Survey

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IEEE/CAA Journal of Automatica Sinica 2023年第8期10卷 1647-1667页

作者： Li Duan Yangyang Sun Wei Ni Weiping Ding jiqiang liu Wei Wang IEEE the Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing Jiaotong UniversityBeijing 100044China the Guangxi Key Laboratory of Cryptography and Information Security Guilin 541004China the Communications and Signal Processing Team Data61 Business UnitCommonwealth Scientific and Industrial Research Organisation(CSIRO)Sydney NSW 2109Australia the School of Information Science and Technology Nantong UniversityNantong 226019China

The blockchain cross-chain is a significant technology for inter-chain interconnection and value transfer among different blockchain ***-chain overcomes the“information island”problem of the closed blockchain network and is increasingly applied to multiple critical areas such as finance and the internet of things(IoT).Blockchain can be divided into three main categories of blockchain networks:public blockchains,private blockchains,and consortium ***,there are differences in block structures,consensus mechanisms,and complex working mechanisms among heterogeneous *** fragility of the cross-chain system itself makes the cross-chain system face some potential security and privacy *** paper discusses security defects on the cross-chain implementation mechanism,and discusses the impact of the structural features of blockchain networks on cross-chain *** terms of cross-chain intercommunication,a cross-chain attack can be divided into a multi-chain combination attack,native chain attack,and inter-chain attack *** various security threats and attack paths faced by the cross-chain system are *** last,the corresponding security defense methods of cross-chain security threats and future research directions for cross-chain applications are put forward.

关键词： Blockchain cross-chain defense distributed private key control hash-locking notary security threats sidechain/relay

Fractional crystallization processes of magma beneath the Carlsberg Ridge(57°–65°E)

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Journal of Oceanology and Limnology 2020年第1期38卷 75-92页

作者： ZONG Tong HAN Xiqiu liu jiqiang WANG Yejian QIU Zhongyan YU Xing Key Laboratory of Submarine Geosciences and Prospection of Ministry of Education Ocean University of ChinaQingdao 266100China Key Laboratory of Submarine Geosciences State Oceanic Administration&Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China Ocean College Zhejiang UniversityZhoushan 316021China School of Oceanography Shanghai Jiaotong UniversityShanghai 200030China

Fractional crystallization of basaltic magma at variable depths influences strongly the geochemical compositions of mid-ocean ridge basalts(MORBs),especially at slow-spreading mid-ocean *** Carlsberg Ridge is a typical slow-spreading ridge located in the northwestern Indian *** this study,we conducted petrological,geochemical and modelling studies of MORBs collected along the Carlsberg Ridge from 57°-65°E to understand the fractional crystallization processes of magma and the controls on variations in MORB *** results show that the mantle sources beneath the Carlsberg Ridge are heterogeneous even on the local scale of a segment;such heterogeneity may be ubiquitous beneath the Carlsberg *** heterogeneity may be caused by the enriched components resulting in the"DUPAL"anomaly,whereas the effect of pyroxenite on mantle heterogeneity is *** parental melts experienced crystallization of olivine,plagioclase and clinopyroxene prior to eruption,which played a significant role in the major and trace element variations in MORBs from the Carlsberg *** liquid lines of descent(LLDs),deduced from the forward modelling of three parental magma compositions using the Petrolog3 program at pressures between 1 atm and 10 kbar,demonstrate that clinopyroxene joined the olivine and plagioclase *** over-enrichment in highly incompatible elements relative to LLDs may be caused by the processes of replenishment-tapping-crystallization in magma *** calculated crystallization pressures suggest that parental magmas beneath the Carlsberg Ridge experienced moderateto high-pressure crystallization and that crystallization beneath the slow-spreading Carlsberg Ridge may start at upper mantle depths.

关键词： fractional crystallization crystallization pressure mantle heterogeneity Carlsberg Ridge mid-ocean ridge basalt (MORB)

On the combination of data augmentation method and gated convolution model for building effective and robust intrusion detection

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Cybersecurity 2018年第1期1卷 933-944页

作者： Yixiang Wang Shaohua lv jiqiang liu Xiaolin Chang Jinqiang Wang Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing Jiaotong University3Shangyuancun100044 BeijingChina Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University3 Shangyuancun100044 BeijingChina

Deep learning(DL)has exhibited its exceptional performance in fields like intrusion *** augmentation methods have been proposed to improve data quality and eventually to enhance the performance of DL ***,the classic augmentation methods cannot be applied to those DL models which exploit the system-call sequences to detect ***,the seq2seq model has been explored to augment system-call *** this work,we propose a gated convolutional neural network(GCNN)model to thoroughly extract the potential information of augmented ***,in order to enhance themodel’s robustness,we adopt adversarial training to reduce the impact of adversarial examples on the *** examples used in adversarial training are generated by the proposed adversarial sequence generation *** experimental results on different verified models show that GCNN model can better obtain the potential information of the augmented data and achieve the best ***,GCNN with adversarial training can enhance robustness significantly.

关键词： Data augmentation Intrusion detection system Machine learning algorithms System call

Curricular Robust Reinforcement Learning via GAN-Based Perturbation Through Continuously Scheduled Task Sequence

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Tsinghua Science and Technology 2023年第1期28卷 27-38页

作者： Yike Li Yunzhe Tian Endong Tong Wenjia Niu Yingxiao Xiang Tong Chen Yalun Wu jiqiang liu Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing Jiaotong UniversityBeijing 100044China

Reinforcement learning(RL),one of three branches of machine learning,aims for autonomous learning and is now greatly driving the artificial intelligence development,especially in autonomous distributed systems,such as cooperative Boston Dynamics ***,robust RL has been a challenging problem of reliable aspects due to the gap between laboratory simulation and real *** efforts have been made to approach this problem,such as performing random environmental perturbations in the learning ***,one cannot guarantee to train with a positive perturbation as bad ones might bring failures to *** this work,we treat robust RL as a multi-task RL problem,and propose a curricular robust RL *** first present a generative adversarial network(GAN)based task generation model to iteratively output new tasks at the appropriate level of difficulty for the current ***,with these progressive tasks,we can realize curricular learning and finally obtain a robust *** experiments in multiple environments demonstrate that our method improves the training stability and is robust to differences in training/test conditions.

关键词： robust reinforcement learning generative adversarial network(GAN)based model curricular learning