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检索条件"任意字段=5th ACM Conference on Data and Application Security and Privacy, CODASPY 2015"

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CCSM: Building Cross-Cluster security Models for Edge-Core Environments Involving Multiple Kubernetes Clusters 24

CCSM: Building Cross-Cluster Security Models for Edge-Core E...

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14th acm conference on data and application security and privacy (acm codaspy)

作者： GholipourChoubeh, Mahmood Kermabon-Bobinnec, Hugo Majumdar, Suryadipta Jarraya, Yosr Wang, Lingyu Nour, Boubakr Pourzandi, Makan Concordia Univ Montreal PQ Canada Ericsson Secur Res Montreal PQ Canada

ISBN: (纸本)9798400704215

With the emergence of 5G networks and their large scale applications such as IoT and autonomous vehicles, telecom operators are increasingly offloading the computation closer to customers (i.e., on the edge). Such edge-core environments usually involve multiple Kubernetes clusters potentially owned by different providers. Confidentiality concerns could prevent those providers from sharing data freely with each other, which makes it challenging to perform common security tasks such as security verification across different clusters. In this work, we propose a solution for building cross-cluster security models to enable various security analyses, while preserving confidentiality for each cluster. We design a six-step methodology to model both the cross-cluster communication and cross-cluster event dependency, and we apply those models to different security use cases. We implement our solution based on a 5G edge-core environment that involves multiple Kubernetes clusters, and our experimental results demonstrate its efficiency (e.g., less than 8 seconds of processing time for a model with 3,600 edges and nodes) and accuracy (e.g., more than 96% for cross-cluster event prediction).

关键词： Cloud Computing security Kubernetes 5G security Model

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Examining Cryptography and Randomness Failures in Open-Source Cellular Cores 24

Examining Cryptography and Randomness Failures in Open-Sourc...

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14th acm conference on data and application security and privacy (acm codaspy)

作者： English, K. Virgil Bennett, Nathaniel thorn, Seaver Butler, Kevin R. B. Enck, William Traynor, Patrick North Carolina State Univ Raleigh NC 27695 USA Univ Florida Gainesville FL USA

ISBN: (纸本)9798400704215

Industry is increasingly adopting private 5G networks to securely manage their wireless devices in retail, manufacturing, natural resources, and healthcare. As with most technology sectors, open-source software is well poised to form the foundation of deployments, whether it is deployed directly or as part of well-maintained proprietary offerings. this paper seeks to examine the use of cryptography and secure randomness in open-source cellular cores. We design a set of 13 CodeQL static program analysis rules for cores written in both C/C++ and Go and apply them to 7 open-source cellular cores implementing 4G and 5G functionality. We identify two significant security vulnerabilities, including predictable generation of TMSIs and improper verification of TLS certificates, with each vulnerability affecting multiple cores. In identifying these flaws, we hope to correct implementations to fix downstream deployments and derivative proprietary projects.

关键词： cellular core security cryptography misuse static analysis

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the Avg-Act Swap and Plaintext Overflow Detection in Fully Homomorphic Operations Over Deep Circuits 24

The Avg-Act Swap and Plaintext Overflow Detection in Fully H...

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14th acm conference on data and application security and privacy (acm codaspy)

作者： Nam, Ihyun Stanford Univ Stanford CA 94305 USA

ISBN: (纸本)9798400704215

Fully homomorphic encryption is a cryptographic scheme that enables any function to be computed on encrypted data. Although homomorphic evaluation on deep circuits has many real-life applications, fully homomorphic encryption is not commercialized due to its low speed and huge computational overhead. In the aim to make fully homomorphic operations faster and bridge the gap between security and practicality, we introduce the Avg-Act Swap. the Avg-Act Swap is a deployable tool in privacy-preserving machine learning;it places the average pool layer before the activation layer as opposed to the conventional practice of ordering them the other way around in neural networks over unencrypted data. We introduce two FHE-friendly convolutional neural networks and a modified version of Lenet-5 [26] that utilize the Avg-Act Swap to demonstrate improvements in encrypted inference speed. Most notably, we improve the encrypted inference speed of Lenet-5 by 28.58% after modifying it with the Avg-Act Swap, with a 90% accuracy. Plaintext overflow is a plausible problem in deep circuit homomorphic evaluations. We introduce (to our knowledge) the first formalized protocol to detect plaintext overflows in fixed-point arithmetic fully homomorphic encryption schemes that maintains indistinguishability over chosen plaintext attacks. We show that a remote server can homomorphically compute the maximum relative error bound of the client's plaintext only using encrypted inputs from the client. After all operations are done, the client can compare the received relative error bound to the actual error bound in the decrypted plaintext to detect an overflow. Further research to make this work in progress more efficient is encouraged.

关键词： Fully Homomorphic Encryption privacy Preserving Techniques Machine Learning Cheon-Kim-Kim-Song

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codaspy 2015 - Proceedings of the 5th acm conference on data and application security and privacy

CODASPY 2015 - Proceedings of the 5th ACM Conference on Data...

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

ISBN: (纸本)9781450331913

the proceedings contain 40 papers. the topics discussed include: DBMask: fine-grained access control on encrypted relational databases;differentially-private mining of moderately-frequent high-confidence association rules;StaDynA: addressing the problem of dynamic code updates in the security analysis of android applications;CoinParty: secure multi-party mixing of bitcoins;how your phone camera can be used to stealthily spy on you: transplantation attacks against android camera service;Pleco and Plectron two provably secure password hashing algorithms;one thing leads to another: credential based privilege escalation;epidemic behavior of negative users in online social sites;rapid screening of transformed data leaks with efficient algorithms and parallel computing;ABSS: an attribute-based sanitizable signature for integrity of outsourced database with public cloud;and privacy-preserving scanning of big content for sensitive data exposure with MapReduce.

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Client Diversity Factor in HTTPS Webpage Fingerprinting 19

Client Diversity Factor in HTTPS Webpage Fingerprinting

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9th acm conference on data and application security and privacy (codaspy)

作者： Alan, Hasan Faik Kaur, Jasleen UNC Dept Comp Sci Chapel Hill NC 27599 USA

ISBN: (纸本)9781450360999

Webpage fingerprinting methods infer the webpages visited in a traffic trace and are serious threats to the privacy of web users. Prior work evaluates webpage fingerprinting methods using traffic samples from a single client and does not consider the client diversity factor-webpages can be visited using different browsers, operating systems and devices. In this paper, we study the impact of client diversity on HTTPS webpage fingerprinting. First, we evaluate 5 prominent fingerprinting methods using traffic samples from 19 different clients. We show that the best performing methods overfit to the traffic patterns of a single client and do not generalize when they are evaluated using the samples from a different client (even if the clients use the same browser and operating system and only differ in device). then, we investigate the traffic patterns of the clients and find differences in the HTTP messages generated, servers communicated and implementation of HTTP/2 across the clients. Finally, we show that the robustness of the methods can be increased by training them using the samples from a diverse set of clients. this study informs the community towards a realistic threat model for HTTPS webpage fingerprinting and presents an analysis of modern HTTPS traffic.

关键词： privacy network traffic analysis https webpage fingerprinting

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Large Scale PoC Experiment with 57,000 people to Accumulate Patterns for Lifestyle Authentication 19

Large Scale PoC Experiment with 57,000 people to Accumulate ...

引用

9th acm conference on data and application security and privacy (codaspy)

作者： Kobayashi, Ryosuke Saji, Nobuyuki Shigeta, Nobuo Yamaguchi, Rie Shigetomi Mitsubishi Elect Informat Syst Corp Minato Ku 4-13-23 Shibaura Tokyo 1080023 Japan INFOCORPUS Inc Meguro Ku 3-5-1 Shimomeguro Tokyo 1530064 Japan Univ Tokyo Bunkyo Ku 7-3-1 Hongo Tokyo 1138656 Japan

ISBN: (纸本)9781450360999

the spread of ICT has made it possible for people to use various online services via the Internet. User authentication technique is important for using online services in order to confirm that the user is legitimate. there are already some authentication methods, but several problems have been pointed out in them. We focused attention on lifestyle authentication as a new individual authentication method, that utilizes human behavior information. then, we conducted a large scale PoC experiment in order to collect human behavior information, and we succeeded in gathering data of about 57,000 people. By analyzing the collected data, we found that human behavior is patterned. In this paper, we introduce the large scale PoC experiment and the analysis result of human behavior.

关键词： Lifestyle Authentication Human Behavior IoT Smartphone

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Research on Medical Big data security Management 15th

Research on Medical Big Data Security Management

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15th International conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International conference on Harmony Search, Soft Computing and applications, ICHSA 2019

作者： Hu, Xiaohan Jiang, Rong Qian, Zhenwei Shi, Mingyue Shang, Jingwei Yunnan University of Finance and Economics Kunming650221 China Key Laboratory of Service Computing and Safety Management of Yunnan Provincial Universities Kunming650221 China

ISBN: (纸本)9783030325909

Medical big data, as an important basic strategic resource of the countries, can bring disruptive changes to the medical field with its application, but its safety management problems are also becoming increasingly prominent. this paper introduces the concept of medical big data and its unique characteristics, analyzes the significance of its safety management, and discusses the safety management measures of medical big data from two aspects of technology and policy. Some suggestions on data integration and privacy protection are also putting forward in this paper. © 2020, Springer Nature Switzerland AG.

关键词： Big data

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SCLib: A Practical and Lightweight Defense against Component Hijacking in Android applications 18

SCLib: A Practical and Lightweight Defense against Component...

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8th acm conference on data and application security and privacy (codaspy)

作者： Wu, Daoyuan Cheng, Yao Gao, Debin Li, Yingjiu Deng, Robert H. Singapore Management Univ Sch Informat Syst Singapore Singapore ASTAR Inst Infocomm Res Singapore Singapore Singapore Management Univ Singapore Singapore

ISBN: (纸本)9781450356329

Cross-app collaboration via inter-component communication is a fundamental mechanism on Android. Although it brings the benefits such as functionality reuse and data sharing, a threat called component hijacking is also introduced. By hijacking a vulnerable component in victim apps, an attack app can escalate its privilege for operations originally prohibited. Many prior studies have been performed to understand and mitigate this issue, but no defense is being deployed in the wild, largely due to the deployment difficulties and performance concerns. In this paper we present SCLib, a secure component library that performs in-app mandatory access control on behalf of app components. It does not require firmware modification or app repackaging as in previous works. the library-based nature also makes SCLib more accessible to app developers, and enables them produce secure components in the first place over fragmented Android devices. As a proof of concept, we design six mandatory policies and overcome unique implementation challenges to mitigate attacks originated from both system weaknesses and common developer mistakes. Our evaluation using ten high-profile open source apps shows that SCLib can protect their 35 risky components with negligible code footprint (less than 0.3% stub code) and nearly no slowdown to normal intra-app communication. the worst-case performance overhead is only about 5%.

关键词： android security mobile security component hijacking

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A New Bloom Filter Structure for Searchable Encryption Schemes 17

A New Bloom Filter Structure for Searchable Encryption Schem...

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

作者： Chum, Chi Sing Zhang, Xiaowen CUNY Dept Comp Sci Grad Ctr 365 5th Ave New York NY 10016 USA CUNY Dept Comp Sci Grad Ctr 2800 Victory Blvd Staten Isl NY 10314 USA CUNY Coll Staten Isl 2800 Victory Blvd Staten Isl NY 10314 USA

ISBN: (纸本)9781450345231

We propose a new Bloom filter structure for searchable encryption schemes in which a large Bloom filter is treated as (replaced with) two smaller ones for the search index. False positive is one inherent drawback of Bloom filter. We formulate the false positive rates for one regular large Bloom filter, and then derive the false positive rate for the two smaller ones. With examples, we show how the new scheme cuts down the false positive rate and the size of Bloom filter to a balanced point that fulfills the user requirements and increases the efficiency of the structure.

关键词： Searchable encryption cryptographic hash function Bloom filter false positive rate

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Automatic Summarization of privacy Policies using Ensemble Learning 16

Automatic Summarization of Privacy Policies using Ensemble L...

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

作者： Tomuro, Noriko Lytinen, Steven Hornsburg, Kurt Depaul Univ Coll Comp & Digital Media CDM Chicago IL 60604 USA MobileEvolution Vienna Austria

ISBN: (纸本)9781450339353

When customers purchase a product or sign up for service from a company, they often are required to agree to a privacy Policy or Terms of Service agreement. Many of these policies are lengthy, and a typical customer agrees to them without reading them carefully if at all. To address this problem, we have developed a prototype automatic text summarization system which is specifically designed for privacy policies. Our system generates a summary of a policy statement by identifying important sentences from the statement, categorizing these sentences by which of 5 "statement categories" the sentence addresses, and displaying to a user a list of the sentences which match each category. Our system incorporates keywords identified by a human domain expert and rules that were obtained by machine learning, and they are combined in an ensemble architecture. We have tested our system on a sample corpus of privacy statements, and preliminary results are promising.

关键词： privacy Policy Natural Language Processing Machine Learning

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