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Packet： a privacy-aware access control policy composition method for services composition in cloud environments

Frontiers of Computer Science 2016年第6期10卷 1142-1157页

作者： Li LIN Jian HU Jianbiao ZHANG College of Computer Science Beijing University of Technology Beijing 100124 China Beijing Key Laboratory of Trusted Computing Beijing 100124 China National Engineering Laboratory for Classified Information Security Protection Beijing 100124 China

Combining different independent cloud services must coordinate their access control policies. Otherwise unauthorized access to composite cloud service can occur when there＇s a conflict among different cloud service providers＇ access control policies, and then it will bring serious data security and privacy issues. In this paper, we propose Packet, a novel access control policy composition method that can detect and resolve policy conflicts in cloud service composition, including those conflicts related to privacyaware purposes and conditions. The Packet method is divided into four steps. First, employing a unified description, heterogeneous policies are transformed into a unified attributebased format. Second, to improve the conflict detection ef- ficiency, policy conflicts on the same resource can be eliminated by adopting cosine similarity-based algorithm. Third, exploiting a hierarchical structure approach, policy conflicts related to different resources or privacy-aware purposes and conditions can be detected. Fourth, different conflict resolution techniques are presented based on the corresponding conflict types. We have successfully implemented the Packet method in Openstack platform. Comprehensive experiments have been conducted, which demonstrate the effectiveness of the proposed method by the comparison with the existing XACML-based system at conflict detection and resolution performance.

关键词： cloud service composition access control privacy policy composition unified policy format conflict detection similarity analysis conflict resolution

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Study on the method of transmission line foreign body detection based on deep learning

Study on the method of transmission line foreign body detect...

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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Wang, Bixiao Wu, Runze Zheng, Zhe Zhang, Weilong Guo, Jinghong School of Electrical and Electronic Engineering North China Electric Power University Beijing China Global Energy Interconnection Research Institute Co. Ltd. State Grid Key Laboratory of Information AndNetwork Security State Grid Laboratory of Electric Power Communication Network Technology Beijing China

ISBN: (纸本)9781538614273

Target detection methods based on region proposal are complicated and the detection speed is slow, which is difficult to meet the requirement of real-time detection of massive power inspection pictures. SSD (Single Shot MultiBox Detector) is simpler than the one that requires region proposal, eliminates the generation of proposals and subsequent feature resampling phases, and encapsulates all calculations in a single network. The model is more easily trained while meeting the high accuracy and real-time detection requirements. In this paper, we described the SSD method in detail, compared and analyzed the DPM (Deformable Parts Model), Faster R-CNN and SSD methods. The three methods are tested and verified by using the actual data set of transmission line foreign body, and the influence of different parameters on the identification results is discussed. The experimental results show that the SSD method can achieve 85.2% of the mAP(mean average precision) at 26FPS (GTX1050Ti), it can meet the real-time requirements while ensuring the accuracy of detection, and the feasibility of the recognition method based on deep learning is verified in real time foreign body detection of transmission line. © 2017 IEEE.

关键词： Electric lines

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Mars: New insights and unresolved questions

arXiv

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arXiv 2021年

作者： Changela, Hitesh G. Chatzitheodoridis, Elias Antunes, Andre Beaty, David Bouw, Kristian Bridges, John C. Capova, Klara Anna Cockell, Charles S. Conley, Catharine A. Dadachova, Ekaterina Dallas, Tiffany D. de Mey, Stefaan Dong, Chuanfei Ellery, Alex Ferus, Martin Foing, Bernard Fu, Xiaohui Fujita, Kazuhisa Lin, Yangtin Jheeta, Sohan Hicks, Leon J. Hu, Sen Kereszturi, Akos Krassakis, Alexandros Liu, Yang Oberst, Juergen Michalski, Joe Ranjith, P.M. Rinaldi, Teresa Rothery, David Stavrakakis, Hector A. Selbmann, Laura Sinha, Rishitosh K. Wang, Alian Williford, Ken Vaci, Zoltan Vago, Jorge L. Waltemathe, Michael Hallsworth, John E. Key Laboratory of Earth & Planetary Physics Institute of Geology & Geophysics Chinese Academy of Sciences Beijing China Department of Earth & Planetary Science University of New Mexico New Mexico United States Department of Geological Sciences National Technical University of Athens School of Mining and Metallurgical Engineering Athens Greece Network of Researchers on the Chemical Evolution of Life Leeds United Kingdom China Mars Program Office Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Creative Division Notion Theory MiamiFL33131 United States Space Research Centre School of Physics and Astronomy University of Leicester LeicesterLE17RH United Kingdom Noordwijk Netherlands School of Physics and Astronomy University of Edinburgh James Clerk Maxwell Building Peter Guthrie Tait Road EdinburghEH9 3FD United Kingdom NASA Ames Research Center Mountain ViewCA94035 United States College of Pharmacy and Nutrition University of Saskatchewan Canada Institute for Global Food Security School of Biological Sciences Queen's University Belfast 19 Chlorine Gardens BelfastBT9 5DL United Kingdom Department of Astrophysical Sciences Princeton Plasma Physics Laboratory Princeton University United States Department of Mechanical and Aerospace Engineering Carleton University OttawaON Canada J. Heyrovsky Institute of Physical Chemistry Czech Academy of Sciences Prague Czech Republic Shandong Province China Tokyo Japan Research Centre for Astronomy and Earth Sciences Budapest Hungary Athens Greece National Space Science Centre NSSC Chinese Academy of Sciences Beijing China DLR Institute of Planetary Research Berlin Germany Hong Kong University Hong Kong Department of Biology and Biotechnology Sapienza University of Rome Rome Italy School of Physical Sciences The Open University Milton Keynes United Kingdom Department of Ecological and Biological Sciences University of Tuscia Viterbo Italy Physical Research Lab

Mars exploration motivates the search for extraterrestrial life, the development of space technologies, and the design of human missions and habitations. Here, we seek new insights and pose unresolved questions relating to the natural history of Mars, habitability, robotic and human exploration, planetary protection, and the impacts on human society. key observations and findings include: - high escape rates of early Mars' atmosphere, including loss of water, impact present-day habitability;- putative fossils on Mars will likely be ambiguous biomarkers for life;- microbial contamination resulting from human habitation is unavoidable;and - based on Mars' current planetary protection category, robotic payload(s) should characterize the local martian environment for any life-forms prior to human habitation. Some of the outstanding questions are: - which interpretation of the hemispheric dichotomy of the planet is correct;- to what degree did deep-penetrating faults transport subsurface liquids to Mars' surface;- in what abundance are carbonates formed by atmospheric processes;- what properties of martian meteorites could be used to constrain their source locations;- the origin(s) of organic macromolecules;- was/is Mars inhabited;- how can missions designed to uncover microbial activity in the subsurface eliminate potential false positives caused by microbial contaminants from Earth;- how can we ensure that humans and microbes form a stable and benign biosphere;and - should humans relate to putative extraterrestrial life from a biocentric viewpoint (preservation of all biology), or anthropocentric viewpoint of expanding habitation of space? Studies of Mars' evolution can shed light on the habitability of extrasolar planets. In addition, Mars exploration can drive future policy developments and confirm (or put into question) the feasibility and/or extent of human habitability of space. © 2021, CC BY.

关键词： Extrasolar planets

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Cross-site scripting attacks on android hybrid applications 17

Cross-site scripting attacks on android hybrid applications

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2017 International Conference on Cryptography, security and Privacy, ICCSP 2017

作者： Bao, Wenying Yao, Wenbin Zong, Ming Wang, Dongbin Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications No. 10 Xitucheng Road Beijing100876 China YingCai Honors College University of Electronic Science and Technology of China Chengdu610054 China National Engineering Laboratory for Mobile Network Security Beijing University of Posts and Telecommunications No. 10 Xitucheng Road Beijing100876 China

ISBN: (纸本)9781450348676

Hybrid mobile applications are coded in both standard web languages and native language. The including of web technologies results in that Hybrid applications introduce more security risks than the traditional web applications, which have more possible channels to inject malicious codes to gain much more powerful privileges. In this paper, Cross-site Scripting attacks specific to Android Hybrid apps developed with PhoneGap framework are investigated. We find out that the XSS vulnerability on Hybrid apps makes it possible for attackers to bypass the access control policies of WebView and WebKit to run malicious codes into victim's WebView. With the PhoneGap plugins, the malicious codes can steal user's private information and destroy user's file system, which are more damaging than cookie stealing. © 2017 ACM.

关键词： Android (operating system)

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Discovering and understanding the security hazards in the interactions between iot devices, mobile apps, and clouds on smart home platforms

arXiv

引用

arXiv 2018年

作者： Zhou, Wei Jia, Yan Yao, Yao Zhu, Lipeng Guan, Le Mao, Yuhang Liu, Peng Zhang, Yuqing National Computer Network Intrusion Protection Center University of Chinese Academy of Sciences China School of Cyber Engineering Xidian University China Department of Computer Science University of Georgia United States College of Information Sciences and Technology Pennsylvania State University United States State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences China

A smart home connects tens of home devices to the Internet, where an IoT cloud runs various home automation applications. While bringing unprecedented convenience and accessibility, it also introduces various security hazards to users. Prior research studied smart home security from several aspects. However, we found that the complexity of the interactions among the participating entities (i.e., devices, IoT clouds, and mobile apps) has not yet been systematically investigated. In this work, we conducted an in-depth analysis of five widely-used smart home platforms. Combining firmware analysis, network traffic interception, and black-box testing, we reverse-engineered the details of the interactions among the participating entities. Based on the details, we inferred three legitimate state transition diagrams for the three entities, respectively. Using these state machines as a reference model, we identified a set of unexpected state transitions. To confirm and trigger the unexpected state transitions, we implemented a set of phantom devices to mimic a real device. By instructing the phantom devices to intervene in the normal entity-entity interactions, we have discovered several new vulnerabilities and a spectrum of attacks against real-world smart home platforms. Copyright © 2018, The Authors. All rights reserved.

关键词： Automation

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A User-Centric Data Secure Creation Scheme in Cloud Computing

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Chinese Journal of Electronics 2016年第4期25卷 753-760页

作者： SU Mang LI Fenghua SHI Guozhen GENG Kui XIONG Jinbo School of Computer Science and Engineering Nanjing University of Science and Technology State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Sciences Department of Information Security Beijing Electronic Science and Technology Institute State Key Laboratory of Integrated Services Network Xidian University

Due to the use of the cloud computing technology,the ownership is separated from the administration of the data in cloud and the shared data might be migrated between different clouds,which would bring new challenges to data secure creation,especially for the data privacy *** propose a User-centric data secure creation scheme(UCDSC) for the security requirements of resource owners in *** this scheme,a data owner first divides the users into different *** data owner encrypts data and defines different secure managing policies for the data according to *** encrypt the data in UCDSC,we present an algorithm based on Access control conditions proxy re-encryption(ACC-PRE),which is proved to be master secret secure and Chosen-ciphertext attack(CCA) secure in random oracle *** give the application protocols and make the comparisons between some existing approaches and UCDSC.

关键词： User-centric ACC-PRE Data creation Master secret secure CCA

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A New Triage Process Model for Digital Investigations

A New Triage Process Model for Digital Investigations

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2016 IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference(IMCEC 2016)

作者： Bo Yang Ning Li Jianguo Jiang Institute of Information Engineering Chinese Academy of Sciences Beijing Key Laboratory of Network Security Technology

ISBN: (纸本)9781509001668

As the amount of crimes involving the digital dimension grows,an ever increasing number of digital artifacts collected from a forensic investigation needs plenty of resources to process in a forensically sound *** forensic triage provides a way to deal with this scalability problem,as it is tailored to maximize the utilization of resources based on a priority ***,the paucity of definite solutions limits efforts to triage *** this article,we propose a Dual-Triage Digital Forensic Process Model,termed DTDFPM,which increases the effectiveness and efficiency of *** DTDFPM simultaneously enjoys the following properties: i) background information is utilized to prioritize cases and specific features are determined which media contain information relevant to the investigation,ii) a Priority Sorting with ArtificialNeuron algorithm(PSAN) is designed,which is the first application of neural network to sorting solution in digital triage,iii) efficient integration,the proposed model implemented based on the Python programming language can be easy to integrate into existing forensic *** theoretical analysis and performance evaluation indicate the advantage of our proposed process model.

关键词： Digital forensics digital triage process model case study

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A fibonacci based batch auditing protocol for cloud data 1

引用

9th International Symposium on Cyberspace Safety and security, CSS 2017

作者： Shen, Jian Shen, Jun Wang, Chen Wang, Anxi Jiangsu Engineering Center of Network Monitoring Nanjing China Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China

ISBN: (数字)9783319694719

ISBN: (纸本)9783319694702

As cloud storage is developing fast with time going by, the design of auditing protocols has caught a large number of researchers’ eyes. However, though most of the existing auditing protocols have considered batch auditing to save resources in the auditor side, the design of methods to locate the specific positions of the corrupted data blocks is ignored. In this paper, we propose a novel batch auditing protocol based on the Fibonacci sequence to save resources in the cloud, which is an extension of our previous work. Experimental results and numerical analysis indicate that the proposed scheme is efficient. © 2017, Springer International Publishing AG.

关键词： Cloud storage

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Revisiting Recent and Current Anomaly Detection based on Machine Learning in Ad-Hoc networks

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Journal of Physics: Conference Series 2019年第1期1288卷

作者： Zhixiao Wang Mingyu Chen Wenyao Yan Wendong Wang Ang Gao Gaoyang Nie Feng Wang Shaobo Yang Xi'an University of Technology Xi'an 710048 China Goettingen University Goettingen 37077 Germany Xi'an Jiaotong University Xi'an 710049 China Shaanxi Provincial Key Laboratory of Network Computing and Security Technology Xi'an 710048 China College of Xi'an Innovation Yan'an University Xi'an 710100 China Yan'an University Yan'an 716000 China National Satellite Meteorological Center China Meteorological Administration Beijing 100081 China

Ad-Hoc network which is one kind of self-organized networks is much more vulnerable than the infrastructural network with the properties of highly changeable linkage, dynamic structure, and wireless connections so that the tradition intrusion detection system (IDS) should be improved to adapt in such network with limited computing resources and open channels. To ensure the security in Ad-Hoc network, the efficient anomaly detection methods should be probed. Over the past years, many studies have implemented anomaly detection methods (intrusion detection techniques) based on machine-learning methods in this field. This article analyzes the existing security problem in Ad-Hoc network, presents the basic theory of intrusion detection for Ad-Hoc network, and reviews the current and recent anomaly detection methods used machine learning techniques in the intrusion detection system.

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Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities over Time

arXiv

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arXiv 2018年

作者： Wang, Pinghui Jia, Peng Zhang, Xiangliang Tao, Jing Guan, Xiaohong Towsley, Don MOE Key Laboratory for Intelligent Networks and Network Security Xi’an Jiaotong University China Shenzhen Research Institute of Xi’an Jiaotong University Shenzhen China King Abdullah University of Science and Technology Thuwal Saudi Arabia Zhejiang Research Institute of Xi’an Jiaotong University Hangzhou China Department of Automation and NLIST Lab Tsinghua University Beijing China School of Computer Science University of Massachusetts Amherst MA United States

—Online monitoring user cardinalities (or degrees) in graph streams is fundamental for many applications. For example in a bipartite graph representing user-website visiting activities, user cardinalities (the number of distinct visited websites) are monitored to report network anomalies. These real-world graph streams may contain user-item duplicates and have a huge number of distinct user-item pairs, therefore, it is infeasible to exactly compute user cardinalities when memory and computation resources are limited. Existing methods are designed to approximately estimate user cardinalities, whose accuracy highly depends on parameters that are not easy to set. Moreover, these methods cannot provide anytime-available estimation, as the user cardinalities are computed at the end of the data stream. Real-time applications such as anomaly detection require that user cardinalities are estimated on the fly. To address these problems, we develop novel bit and register sharing algorithms, which use a bit array and a register array to build a compact sketch of all users’ connected items respectively. Compared with previous bit and register sharing methods, our algorithms exploit the dynamic properties of the bit and register arrays (e.g., the fraction of zero bits in the bit array at each time) to significantly improve the estimation accuracy, and have low time complexity (O(1)) to update the estimations each time they observe a new user-item pair. In addition, our algorithms are simple and easy to use, without requirements to tune any parameter. We evaluate the performance of our methods on real-world datasets. The experimental results demonstrate that our methods are several times more accurate and faster than state-of-the-art methods using the same amount of memory. Copyright © 2018, The Authors. All rights reserved.

关键词： Websites

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