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检索条件"任意字段=4th ACM Conference on Data and Application Security and Privacy, CODASPY 2014"

共 46 条记录，以下是11-20 订阅

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privacy-Preserving HMM Forward Computation 17

Privacy-Preserving HMM Forward Computation

引用

7th acm conference on data and application security and privacy (codaspy)

作者： Ziegeldorf, Jan Henrik Metzke, Jan Rueth, Jan Henze, Martin Wehrle, Klaus Rhein Westfal TH Aachen Commun & Distributed Syst COMSYS Aachen Germany

ISBN: (纸本)9781450345231

In many areas such as bioinformatics, pattern recognition, and signal processing, Hidden Markov Models (HMMs) have become an indispensable statistical tool. A fundamental building block for these applications is the Forward algorithm which computes the likelihood to observe a given sequence of emissions for a given HMM. the classical Forward algorithm requires that one party holds both the model and observation sequences. However, we observe for many emerging applications and services that the models and observation sequences are held by different parties who are not able to share their information due to applicable data protection legislation or due to concerns over intellectual property and privacy. this renders the application of HMMs infeasible. In this paper, we show how to resolve this evident conflict of interests using secure two-party computation. Concretely, we propose Priward which enables two mutually untrusting parties to compute the Forward algorithm securely, i.e., without requiring either party to share her sensitive inputs with the other or any third party. the evaluation of our implementation of Priward shows that our solution is efficient, accurate, and outperforms related works by a factor of 4 to 126. To highlight the applicability of our approach in real-world deployments, we combine Priward with the widely used HMMER biosequence analysis framework and show how to analyze real genome sequences in a privacy-preserving manner.

关键词： garbled circuits secure two-party computation hidden Markov models forward algorithm privacy-preserving protocols

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the Human Capital Model for security Research New Insights into Technology Transition 17

The Human Capital Model for Security Research New Insights i...

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7th acm conference on data and application security and privacy (codaspy)

作者： Rajagopalan, S. Raj Honeywell Phoenix AZ 85034 USA

ISBN: (纸本)9781450345231

As a security researcher, have you ever wondered how much of security research that is done and presented at research conferences is ever used by practitioners or is incorporated into products? Four years ago we formed a team with diverse backgrounds and embarked on a systematic study on the question of which technological solutions would security practitioners actually use if we built them. To carry this out program, we embedded our students who worked inside several security Operation Centers (SOCs) both in universities and corporations, to learn how security solutions get used in reality. Previous efforts at improving the efficiency of SOCs have emphasized building tools for analysts or understanding the human and organizational factors involved, but they have not significantly changed the status quo - solutions are built or bought but seldom used. this was because these efforts did not view these solutions from multiple contextual perspectives of the local participants, the analysts and their managers. After some initial failures, we realized that this kind of study is beyond the reach of conventional Computer Science approaches, so we worked with a Professor in Socio-cultural Anthropology to get a fresh look at the problem and get a new set of tools to use in our research. In our 4-year project we have used Anthropological fieldwork methods to study SOCs and in the process uncovered inherent contradictions between the multiple objectives a SOC has to meet as an organization and the conflicts between the goals of the human participants. this discovery was guided by Activity theory, a theory proposed by the famous social scientist Y. Engestrom [1], which provides a framework for analyzing such kinds of fieldwork data. We discovered that successful SOC innovations must continually resolve the extant conflicts to be effective in improving operational efficiency. Our analysis provides evidence of the importance of conflict resolution as a prerequisite for operations

关键词： security SOC practitioners Anthropology Activity theory field study

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Random Response privacy data Mining Based on Cloud Computing Resource Association Rules

Random Response Privacy Data Mining Based on Cloud Computing...

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2018 4th International conference on Education,Management and Information Technology(ICEMIT 2018)

作者： Hui Baofeng Jia Guoqing Chen Shanji Qinghai University for Nationalities

To strengthen data privacy protection, and improve data mining accuracy, random response mode is adopted to design privacy protection mining method based on association rules. Granular computing method and technology are applied to mining fields of association rules in data mining, and mining to association rules is researched in more extensive way from another perspective in this paper. Firstly, partial concealing mode is adopted to conceal and transform original privacy data and improve data security;secondly, associated frequent item set is utilized to construct simple and efficient privacy protection mining algorithm;finally, algorithm proposed is verified to have higher privacy and accuracy through theoretical analysis and experimental verification. After classical association rules mining algorithm is analyzed and researched in detail with its characteristics and restrictions summarized through examples in this paper, association rules mining model based on granular computing is proposed, which makes theoretical preparation for proposal and construction of association rules pick-up algorithm based on granular computing. Experimental result shows that association rules mining method based on granular computing is feasible and effective.

关键词： association rules cloud computing data resource random response

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Interoperability of Relationship- and Role-Based Access Control 16

Interoperability of Relationship- and Role-Based Access Cont...

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6th acm conference on data and application security and privacy (codaspy)

作者： Rizvi, Syed Zain R. Fong, Philip W. L. Univ Calgary Calgary AB T2N 1N4 Canada

ISBN: (纸本)9781450339353

Relationship-Based Access Control (ReBAC) was recently proposed as a general-purpose, application-layer access control paradigm, such that authorization decisions are based on the relationship between the access requestor and the resource owner. A first, large-scale implementation of ReBAC in an open-source medical records system was recently attempted by Rizvi et al. In this work, we extend the ReBAC model of Rizvi et al. to support fine-grained interoperability between the ReBAC model and legacy Role-Based Access Control (RBAC) models. this is achieved by the introduction of the notion of demarcations as well as an authorization-time constraint system. Also presented are the design of two authorization algorithms (one of which has an algorithmic structure akin to an SMT solver), their optimization via memoization, and the empirical evaluation of their performances.

关键词： Relationship-based access control role-based access control interoperability demarcations constraints lazy evaluation memoization

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Detecting Malicious Exploit Kits using Tree-based Similarity Searches 16

Detecting Malicious Exploit Kits using Tree-based Similarity...

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6th acm conference on data and application security and privacy (codaspy)

作者： Taylor, Teryl Hu, Xin Wang, Ting Jang, Jiyong Stoecklin, Marc Ph. Monrose, Fabian Sailer, Reiner Univ North Carolina Chapel Hill Chapel Hill NC 27514 USA IBM TJ Watson Res Ctr Armonk NY 10504 USA Lehigh Univ Bethlehem PA USA

ISBN: (纸本)9781450339353

Unfortunately, the computers we use for everyday activities can be infiltrated while simply browsing innocuous sites that, unbeknownst to the website owner, may be laden with malicious advertisements. So-called malvertising, redirects browsers to web-based exploit kits that are designed to find vulnerabilities in the browser and subsequently download malicious payloads. We propose a new approach for detecting such malfeasance by leveraging the inherent structural patterns in HTTP traffic to classify exploit kit instances. Our key insight is that an exploit kit leads the browser to download payloads using multiple requests from malicious servers. We capture these interactions in a "tree-like" form, and using a scalable index of malware samples, model the detection process as a sub-tree similarity search problem. the approach is evaluated on 3800 hours of real-world traffic including over 4 billion flows and reduces false positive rates by four orders of magnitude over current state-of-the-art techniques with comparable true positive rates. We show that our approach can operate in near real-time, and is able to handle peak traffic levels on a large enterprise network-identifying 28 new exploit kit instances during our analysis period.

关键词： network security exploit kit subtree similarity search intrusion detection security information retrieval

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Big data security and privacy 15

Big data security and privacy

引用

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

作者： thuraisingham, Bhavani University of Texas at Dallas United States

ISBN: (纸本)9781450331913

this paper describes the issues surrounding big data security and privacy and provides a summary of the National Science Foundation sponsored workshop on this topic held in Dallas, Texas on September 16-17, 2014. Our goal is to build a community in big data security and privacy to explore the challenging research problems. Copyright © 2015 acm.

关键词： Big data

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An Improved Apriori Preserving Differential privacy in the Framework of Spark

An Improved Apriori Preserving Differential Privacy in the F...

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2016 International conference on Communications, Information Management and Network security (CIMNS2016)

作者： Zhiqiang Gao Longjun Zhang Renyuan Hu Qingpeng Li Jihua Yang Department of Information Engineering University of CAPF

ISBN: (纸本)9781510830981

Aimed at the problem that traditional methods fail to deal with malicious attacks under arbitrary background knowledge during the process of massive data analysis, an improved Apriori algorithm preserving differential privacy, combining with Laplace mechanism to mine the pattern of sensitive information in framework of Spark is proposed. Furthermore, it's theoretically proved to meet ε-differential privacy in spark. Finally, experimental results show that guaranteeing availability, our proposed algorithm has advantages over privacy protection and satisfaction in aspects of time as well as efficiency. Most importantly, our algorithm shows a good application prospect in the analysis of data pattern mining preserving privacy protection. Also, it has better ability of privacy protection and timeliness under the premise of ensuring availability.

关键词： spark differential privacy association analysis pattern mining association rule algorithm

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On quantitative dynamic data flow tracking 14

On quantitative dynamic data flow tracking

引用

4th acm conference on data and application security and privacy, codaspy 2014

作者： Lovat, Enrico Oudinet, Johan Pretschner, Alexander Technische Universität München Germany

ISBN: (纸本)9781450322782

We present a non-probabilistic model for dynamic quantitative data flow tracking. Estimations of the amount of data stored in a particular representation at runtime - a file, a window, a network packet - enable the adoption of finegrained policies which authorize or prohibit partial leaks of data. We prove the correctness of the estimations, provide an implementation that we evaluate w.r.t. precision and performance, and analyze one instantiation at the OS level. Copyright is held by the owner/author(s).

关键词： data flow analysis

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Minimizing lifetime of sensitive data in concurrent programs 14

Minimizing lifetime of sensitive data in concurrent programs

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4th acm conference on data and application security and privacy, codaspy 2014

作者： Gondi, Kalpana Sistla, A. Prasad Venkatakrishnan, V.N. Department of Computer Science University of Illinois Chicago United States

ISBN: (纸本)9781450322782

the prolonged lifetime of sensitive data (such as passwords) in applications gives rise to several security risks. A promising approach is to erase sensitive data in an "eager fashion", i.e., as soon as its use is no longer required in the application. this approach of minimizing the lifetime of sensitive data has been applied to sequential programs. In this short paper, we present an extension of the this approach to concurrent programs where the interleaving of threads makes such eager erasures a challenging research problem. Copyright is held by the author/owner(s).

关键词： Sensitive data

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Detecting man-in-the-middle attacks on non-mobile systems 14

Detecting man-in-the-middle attacks on non-mobile systems

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4th acm conference on data and application security and privacy, codaspy 2014

作者： Vallivaara, Visa Sailio, Mirko Halunen, Kimmo VTT Technical Research Center of Finland Finland

ISBN: (纸本)9781450322782

In this paper we propose a method for detecting man-in-themiddle attacks using the timestamps of TCP packet headers. From these timestamps, the delays can be calculated and by comparing the mean of the delays in the current connection to data gathered from previous sessions it is possible to detect if the packets have unusually long delays. We show that in our small case study we can find and set a threshold parameter that accurately detects man-in-the-middle attacks with a low probability of false positives. thus, it may be used as a simple precautionary measure against malicious attacks. the method in its current form is limited to nonmobile systems, where the variations in the delay are fairly low and uniform. Copyright is held by the author/owner(s).

关键词： Network security

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