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检索条件"任意字段=Proceedings of the 5th ACM Conference on Data and Application Security and Privacy"

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Analysis of security Algorithms in Cloud Computing 3

Analysis of Security Algorithms in Cloud Computing

引用

3rd International conference on Computing for Sustainable Global Development (INDIACom)

作者： Agrawal, Tanvi Singh, S. K. Amity Univ Lucknow Uttar Pradesh India

ISBN: (纸本)9789380544199

Cloud computing is a collection of distributed services, application, information and infrastructure .Cloud computing may he defined as the set of services that provide infrastructure resources using internet and data storage on a third server. It is one of the latest developments in IT industry. It provides its user scalability, reliability, high performance and low cost solution as compared to the other infrastructure. In this paper I am going to review algorithms of cloud computing security.

关键词： Cloud computing privacy virtualization

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Efficient approach for mining top-k strong patterns in Social Network Service 5

Efficient approach for mining top-k strong patterns in Socia...

引用

5th International conference on Eco-Friendly Computing and Communication Systems, ICECCS 2016

作者： Bakariya, Brijesh Chaturvedi, Kapil Singh, Krishna Pratap thakur, G.S. Department of Computer Applications MANIT Bhopal India Department of Computer Applications UIT RGPV Bhopal India

ISBN: (纸本)9781509043590

Social Network Service is a one of the service where people may communicate with one another;and may also exchange messages even of any type of audio or video communication. Social Network Service as name suggests a type of network. Such type of web application plays a dominant role in internet technology. In such type of online community, people may share their common interest. Facebook LinkedIn, Orkut and many more are the Social Network Service and it is good medium of making link with people having unique or common interest and goals. But the problem of privacy protection is a big issue in today's world. As social networking sites allows anonymous users to share information of other stuffs. Due to which cyber crime is also increasing to a rapid extent. In this article, we have proposed an algorithm named MSPSN (Mining Strong Pattern from Social Network). In MSPSN, considering three parameters such as User (U), Time (T) and Image (I) from weblog of Social Network Services. this algorithm is very useful to identify user behaviour in social networking service environment. Most frequently used pattern can be identify using these parameters in Social Networking Services. © 2016 IEEE.

关键词： data mining

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5th International conference on Soft Computing for Problem Solving, SocProS 2015

5th International Conference on Soft Computing for Problem S...

引用

5th International conference on Soft Computing for Problem Solving, SocProS 2015

ISBN: (纸本)9789811004506

the proceedings contain 87 papers. the special focus in this conference is on Soft Computing for Problem Solving. the topics include: Traffic accident prediction model using support vector machines with gaussian kernel;a brief overview on least square spectral analysis and power spectrum;architecture for secure communication using cloud services;using least-square spectral analysis method for time series with datum shifts;application of differential evolution for maximizing the loadability limit of transmission system during contingency;common fixed-point theorem for set-valued occasionally weakly compatible mappings in fuzzy metric spaces;privacy preservation in utility mining based on genetic algorithm;reliability evaluation of software system using AHP and fuzzy TOPSIS approach;information security and its insurance in the world of high rise of cybercrime through a model;a systematic study on mitigating parameter variation in MOSFETs;vendor-supplier cooperative inventory model with two warehouse and variable demand rate under the environment of volume agility;invariant feature extraction for finger vein matching using fuzzy logic inference;multiple-input multiple-output paper machine system control using fuzzy-PID tuned controller;optimal tuning of PID controller for centrifugal temperature control system in sugar industry using genetic algorithm;fault diagnosis of ZSI-fed 3-phase induction motor drive system using MATLAB;openMP genetic algorithm for continuous nonlinear large-scale optimization problems;combined SCP and geometric reconstruction of spine from biplanar radiographs and analysis of network IO performance in hadoop cluster environments based on docker containers.

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On privacy verification in the IoT service based on PN2

On privacy verification in the IoT service based on PN2

引用

IEEE Global conference on Consumer Electronics (GCCE)

作者： Muhammad Syafiq Bin Ab Malek Mohd Anuaruddin Bin Ahmadon Shingo Yamaguchi B. B. Gupta Yamaguchi Daigaku Yamaguchi Yamaguchi JP National Institute of Technology Calicut Calicut Kerala IN

ISBN: (纸本)9781509023349

In recent years, Internet of things (IoT) has attracted many attention. However, it still lacks on security consideration. Conventional ways of security design might not be sufficiently effective when dealing with new types of heterogeneous systems. In this paper, we proposed a privacy verification procedure for IoT based on agent oriented Petri net (Petri nets in a Petri net; PN 2 ). We developed the privacy specification for IoT which is necessary in order to deal with the data leak problem. We implemented the procedure to IoT environment by checking the reachability of privacy violation marking. Finally, we showed an application example.

关键词： Petri nets computer network security data privacy Internet of things

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A network security game model 15

A network security game model

引用

5th acm conference on data and application security and privacy, CODASPY 2015

作者： Shandilya, Vivek Shiva, Sajjan Dept of Computer Science University of Memphis MemphisTN38152 United States

ISBN: (纸本)9781450331913

there have been attempts to model the interaction between users, both malicious and benign, and network administrators as games. Building on such works, we here present a game model which is generic enough to capture various modes of such interactions. the model facilitates stochastic games with imperfect information. the imperfect information is due to erroneous sensors leading to incorrect perception of the current state by the players. To model this error in perception distributed over other multiple states, we use Euclidean distances between inputs from the sensors. Copyright © 2015 acm.

关键词： Network security

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Information sharing and user privacy in the third-party identity management landscape 15

Information sharing and user privacy in the third-party iden...

引用

5th acm conference on data and application security and privacy, CODASPY 2015

作者： Vapen, Anna Carlsson, Niklas Mahanti, Anirban Shahmehri, Nahid Linköping University Sweden NICTA Australia

ISBN: (纸本)9781450331913

third-party identity management services enable cross-site information sharing, making Web access seamless but also raise significant privacy implications for the users. Using a combination of manual analysis of identified third-party identity management relationships and targeted case stud- ies we capture how the protocol usage and third-party se- lection is changing, profile what information is requested to be shared (and actions to be performed) between web- sites, and identify privacy issues and practical problems that occur when using multiple accounts (associated with these services). the study highlights differences in the privacy leakage risks associated with different classes of websites, and shows that the use of multiple third-party websites, in many cases, can cause the user to lose (at least) partial con- trol over which information is shared/posted on their behalf. Copyright © 2015 acm.

关键词： Websites

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Secure information and resource sharing in cloud 15

Secure information and resource sharing in cloud

引用

5th acm conference on data and application security and privacy, CODASPY 2015

作者： Zhang, Yun Krishnan, Ram Sandhu, Ravi Institute for Cyber Security Univ of Texas at San Antonio San AntonioTX78249 United States Dept. of Electrical and Computer Engineering Univ of Texas at San Antonio San AntonioTX78249 United States

ISBN: (纸本)9781450331913

the significant threats from information security breaches in cyber world is one of the most serious security problems. Organizations are facing growing number of sophisticated cyber-attacks every year. Efficient and secure sharing of at- tack and security information during cyber incident response plays increasingly significant role in fixing the problems as well as helping organizations recover fast. While traditional systems are slow and inefficient in sharing information and resources securely, cloud platform provides us a consider- able convenience to facilitate the sharing. In this paper, we propose access control models for secure information and re- source sharing (IARS) in cloud Infrastructure as a Service (IaaS). Copyright © 2015 acm.

关键词： Infrastructure as a service (IaaS)

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privacy-preserving scanning of big content for sensitive data exposure with mapreduce 15

Privacy-preserving scanning of big content for sensitive dat...

引用

5th acm conference on data and application security and privacy, CODASPY 2015

作者： Liu, Fang Shu, Xiaokui Yao, Danfeng Daphne Butt, Ali R. Department Computer Science Virginia Tech BlacksburgVA United States

ISBN: (纸本)9781450331913

the exposure of sensitive data in storage and transmission poses a serious threat to organizational and personal secu- rity. data leak detection aims at scanning content (in stor- age or transmission) for exposed sensitive data. Because of the large content and data volume, such a screening algo- rithm needs to be scalable for a timely detection. Our solu- tion uses the MapReduce framework for detecting exposed sensitive content, because it has the ability to arbitrarily scale and utilize public resources for the task, such as Ama- zon EC2. We design new MapReduce algorithms for com- puting collection intersection for data leak detection. Our prototype implemented with the Hadoop system achieves 225 Mbps analysis throughput with 24 nodes. Our algo- rithms support a useful privacy-preserving data transfor- mation. this transformation enables the privacy-preserving technique to minimize the exposure of sensitive data during the detection. this transformation supports the secure out- sourcing of the data leak detection to untrusted MapReduce and cloud providers. Copyright © 2015 acm.

关键词： MapReduce

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Evaluating risks in cloud computing: security perspective

Evaluating risks in cloud computing: Security perspective

引用

International conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Amit Kumar Dhingra Dinesh Rai Ansal University Gurgaon Dept. of Engineering & Comp Application Ansal University Gurgaon (NCR) Haryana India

the cloud computing provide resources and service as and when required over the internet. In cloud computing environment users share highly important data, maintaining centralizing storage of data and resource sharing which tents to extends financial benefit, rather managing their own systems. World is still not very open to cloud computing platform due to many security, privacy and policy related issues that are responsible for limiting the adoption of cloud computing. However, legal challenges and policies issues of cloud computing are the major cause in slow down the growth of cloud computing. In this paper potential of cloud computing with reference to security, privacy and Policy issues are examined as a part of major concern which makes the computing potential puny and review of existing literature for security challenges and policies issues in cloud computing.

关键词： Cloud policy Cloud computing Cloud security IaaS PaaS SaaS

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Combining ORAM with PIR to minimize bandwidth costs 15

Combining ORAM with PIR to minimize bandwidth costs

引用

5th acm conference on data and application security and privacy, CODASPY 2015

作者： Dautrich, Jonathan Ravishankar, Chinya Google Inc. IrvineCA United States Computer Science and Engineering University of California Riverside United States

ISBN: (纸本)9781450331913

Cloud computing allows customers to outsource the burden of data management and benefit from economy of scale, but privacy concerns limit its reach. Even if the stored data are encrypted, access patterns may leak valuable information. Oblivious RAM (ORAM) protocols guarantee full access pattern privacy, but even the most efficient ORAMs proposed to date incur large bandwidth costs. We combine Private Information Retrieval (PIR) techniques with the most bandwidth-efficient existing ORAM scheme known to date (ObliviStore), to create OS+PIR, a new ORAM with bandwidth costs only half those of ObliviStore. For data block counts ranging from 220 to 230, OS+PIR achieves a total bandwidth cost of only 11X-13X blocks transferred per client block read+write, down from Oblivi- Store's 18X-26X. OS+PIR introduces several enhancements in addition to PIR in order to achieve its lower costs, including mechanisms for eliminating unused dummy blocks. Copyright © 2015 acm.

关键词： data privacy

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