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检索条件"任意字段=10th ACM Conference on Data and Application Security and Privacy, CODASPY 2020"

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Understanding the Responsiveness of Mobile App Developers to Software Library Updates 19

Understanding the Responsiveness of Mobile App Developers to...

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

作者： Yasumatsu, Tatsuhiko Watanabe, Takuya Kanei, Fumihiro Shioji, Eitaro Akiyama, Mitsuaki Mori, Tatsuya Waseda Univ Tokyo Japan NTT Secure Platform Labs Tokyo Japan RIKEN AIP Tokyo Japan

ISBN: (纸本)9781450360999

this paper reports a longitudinal measurement study aiming to understand how mobile app developers are responsive to updates of software libraries over time. To quantify their responsiveness to library updates, we collected 21,046 Android apps, which equated 142,611 unique application package kit (APK) files, each corresponding to a different version of an app. the release dates of these APK files spanned across 9 years. the key findings we derived from our analysis are as follows. (1) We observed an undesirable level of responsiveness of app developers;50% of library update adoptions by app developers were performed for more than 3 months after the release date of the library, and 50% of outdated libraries used in apps were retained for over 10 months. (2) Deploying a security fix campaign in the app distribution market effectively reduced the number of apps with unfixed vulnerabilities;however, CVE-numbered vulnerabilities (without a campaign) were prone to remain unfixed. (3) the responsiveness of app developers varied and depended on multiple factors, for example, popular apps with a high number of installations had a better response to library updates and, while it took 77 days on average for app developers to adopt version updates for advertising libraries, it took 237 days for updates of utility libraries to be adopted. We discuss practical ways to eliminate libraries with vulnerabilities and to improve the responsiveness of app developers to library updates.

关键词： Android security Mobile Apps Measurement Software Library Mobile App Developers

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Project-Based Methodology to Lecture on Web Frameworks Applied to the Management of Health-Related data 12th

Project-Based Methodology to Lecture on Web Frameworks Appli...

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International Joint conference: 12th International conference on Computational Intelligence in security for Information Systems, CISIS 2019 and 10th International conference on European Transnational Education, ICEUTE 2019

作者： Fernández-Cerero, Damián Fernández-Montes, Alejandro Departamento de Lenguajes y Sistemas Informticos Universidad de Sevilla Sevilla Spain

ISBN: (纸本)9783030200046

the management and processing of the data generated by healthcare systems is getting more and more attention because of the digitalization of a traditionally analogical sector such as healthcare. Various data management frameworks and solutions have emerged to face some of the multiple challenges present in this environment, including: (a) data privacy and security;(b) Inter-operability between heterogeneous systems;and (c) Usability and readability of health-related sensitive information. In this paper, the authors share their experience on lecturing on how to address such issues by developing web-based software from several points of views: (a) Healthcare professional needs and requirements in terms of usability, accessibility and easiness;(b) Technical requirements and knowledge required to develop all the layers of a fully functional example of a micro health information system;and (c) Technical requirements to share and distribute the data required by several agents of the healthcare environment, focusing on the adoption of international standards such as HL7;(d) Perform of all operations in a secure, available and reliable way. It is concluded that the application of Flipped Teaching among with Project-based Learning may have a very positive impact on both in grades and drop rates for late-years (junior and senior) courses within the Health Engineering bachelor’s degrees. © 2020, Springer Nature Switzerland AG.

关键词： Information management

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TLS Encrypted application Classification Using Machine Learning with Flow Feature Engineering 2020

TLS Encrypted Application Classification Using Machine Learn...

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2020 the 10th International conference on Communication and Network security

作者： Onur Barut Rebecca Zhu Yan Luo Tong Zhang University of Massachusetts Lowell USA Nashua High School South Unites States University of Massachusetts Lowell United States Intel Corporation United States

ISBN: (纸本)9781450389037

Network traffic classification has become increasingly important as the number of devices connected to the Internet is rapidly growing. Proportionally, the amount of encrypted traffic is also increasing, making payload based classification methods obsolete. Consequently, machine learning approaches have become crucial when user privacy is concerned. For this purpose, we propose an accurate, fast, and privacy preserved encrypted traffic classification approach with engineered flow feature extraction and appropriate feature selection. the proposed scheme achieves a 0.92899 macro-average F1 score and a 0.88313 macro-averaged mAP score for the encrypted traffic classification of Audio, Email, Chat, and Video classes derived from the non-vpn2016 dataset. Further experiments on the mixed non-encrypted and encrypted flow dataset with a data augmentation method called Synthetic Minority Over-Sampling Technique are conducted and the results are discussed for TLS-encrypted and mixed flows.

关键词： encrypted traffic analysis deep learning flow feature extraction machine learning feature selection

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10th International conference on Soft Computing and Pattern Recognition, SoCPaR 2018

10th International Conference on Soft Computing and Pattern ...

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10th International conference on Soft Computing and Pattern Recognition, SoCPaR 2018

ISBN: (纸本)9783030170646

the proceedings contain 38 papers. the special focus in this conference is on Soft Computing and Pattern Recognition. the topics include: Sentiment Analysis on Tweets for Trains Using Machine Learning;a Genetic Algorithm for Superior Solution Set Search Problem;an Intelligent Tool for Detection of Phishing Messages;discrete Wavelet Transform application in Variable Displacement Pumps Condition Monitoring;characterizing Parkinson’s Disease from Speech Samples Using Deep Structured Learning;combinatorial Optimization Method Considering Distance in Scheduling Problem;an Improved Gas Classification Technique Using New Features and Support Vector Machines;superior Relation Based Firefly Algorithm in Superior Solution Set Search;learning in Twitter Streams with 280 Character Tweets;retweet Predictive Model for Predicting the Popularity of Tweets;Diverse Ranking Approach in MCDM Based on Trapezoidal Intuitionistic Fuzzy Numbers;handcrafted Descriptors-Based Effective Framework for Off-line Text-Independent Writer Identification;server Load Prediction on Wikipedia Traffic: Influence of Granularity and Time Window;evolutionary Genes Algorithm to Path Planning Problems;An Efficient and Secure Forward Error Correcting Scheme for DNA data Storage;a Blockchain-Based Scheme for Access Control in e-Health Scenarios;Blockchain-Based PKI for Crowdsourced IoT Sensor Information;the Design of a Cloud Forensics Middleware System Base on Memory Analysis;privacy Enhancement of Telecom Processes Interacting with Charging data Records;warning of Affected Users About an Identity Leak;network security Evaluation and Training Based on Real World Scenarios of Vulnerabilities Detected in Portuguese Municipalities’ Network Devices;Decision Tree and MCDA Under Fuzziness to Support E-Customer Satisfaction Survey;a Survey of Blockchain Frameworks and applications.

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Trustworthy Management in Decentralized IoT application using Blockchain 10

Trustworthy Management in Decentralized IoT Application usin...

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10th International conference on Computing, Communication and Networking Technologies (ICCCNT)

作者： Mohanta, Bhabendu K. Panda, Soumyashree S. Satapathy, Utkalika Jena, Debasish Gountia, Debasis IIIT Bhubaneshwar Dept Comp Sci & Engn Bhubaneswar 751003 Odisha India IIT Roorkee Dept Comp Sci & Engn Roorkee 247667 Uttarakhand India

ISBN: (纸本)9781538659069

Internet of things (IoT) as per estimated will connect 50 billion devices by 2020. Since its evolution, IoT technology provides lots of flexibility to develop and implement any application. Most of the application improves the human living standard and also makes life easy to access and monitoring the things in real time. though there exist some security and privacy issues in IoT system like authentication, computation, data modification, trust among users. In this paper, we have identified the IoT application like insurance, supply chain system, smart city and smart car where trust among associated users is an major issue. the current centralized system does not provide enough trust between users. Using Blockchain technology we have shown that trust issue among users can be managed in a decentralized way so that information can be traceable and identify/verify any time. Blockchain has properties like distributed, digitally share and immutable which enhance security. For Blockchain implementation, Ethereum platform is used.

关键词： IoT Blockchain Trust Management security privacy Ethereum

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CSP & Co. Can Save Us from a Rogue Cross-Origin Storage Browser Network! But for How Long? 18

CSP & Co. Can Save Us from a Rogue Cross-Origin Storage Brow...

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

作者： Rodriguez, Juan D. Parra Posegga, Joachim Univ Passau Passau Germany

ISBN: (纸本)9781450356329

We introduce a new browser abuse scenario where an attacker uses local storage capabilities without the website's visitor knowledge to create a network of browsers for persistent storage and distribution of arbitrary data. We describe how security-aware users can use mechanisms such as the Content security Policy (CSP), sandboxing, and third-party tracking protection, i.e., CSP & Company, to limit the network's effectiveness. From another point of view, we also show that the upcoming Suborigin standard can inadvertently thwart existing countermeasures, if it is adopted.

关键词： Web security WebRTC PostMessage Browser security Content security Policy Suborigins Parasitic Computing

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Trustworthy Management in Decentralized IoT application using Blockchain

Trustworthy Management in Decentralized IoT Application usin...

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International conference on Computing and Networking Technology (ICCNT)

作者： Bhabendu K. Mohanta Soumyashree S. Panda Utkalika Satapathy Debasish Jena Debasis Gountia IIIT Bhubaneshwar Odisha India IIT Roorkee Uttarakhand India

关键词： Internet of things Blockchain Insurance Smart cities Trust management privacy

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Secure and privacy-Aware data Dissemination for Cloud-Based applications 17

Secure and Privacy-Aware Data Dissemination for Cloud-Based ...

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10th International conference on Utility and Cloud Computing (UCC) / 4th International conference on Big data Computing, applications and Technologies (BDCAT)

作者： Sampaio, Lilia Silva, Fabio Souza, Amanda Brito, Andrey Felber, Pascal Univ Fed Campina Grande Campina Grande Paraiba Brazil Univ Neuchatel Neuchatel Switzerland

ISBN: (纸本)9781450351492

In this paper we propose a data dissemination platform that supports data security and different privacy levels even when the platform and the data are hosted by untrusted infrastructures. the proposed system aims at enabling an application ecosystem that uses off-the-shelf trusted platforms (in this case, Intel SGX), so that users may allow or disallow third parties to access the live data stream with a specific sensitivity-level. Moreover, this approach does not require users to manage the encryption keys directly. Our experiments show that such an approach is indeed practical for medium scale systems, where participants disseminate small volumes of data at a time, such as in smart grids and IoT environments.

关键词： smart grids privacy Intel SGX publish/subscribe

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RT-SANE : Real Time security Aware Scheduling on the Network Edge 17

<i>RT</i>-<i>SANE</i> : Real Time Security Aware Scheduling ...

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10th International conference on Utility and Cloud Computing (UCC) / 4th International conference on Big data Computing, applications and Technologies (BDCAT)

作者： Singh, Anil Auluck, Nitin Rana, Omer Jones, Andrew Nepal, Surya Indian Inst Technol Dept Comp Sci & Engn Ropar India Cardiff Univ Sch Comp Sci & Informat Cardiff Wales CSIRO Distributed Syst Secur Grp Sydney NSW Australia

ISBN: (纸本)9781450351492

Edge computing extends a traditional cloud data centre model often by using a microdata centre (mdc) at the network edge for computation and storage. As these edge devices are in proximity to users, this results in improved application response times and reduces load on the cloud data center (cdc). In this paper, we propose a security and deadline aware scheduling algorithm called RT-SANE (Real-Time security Aware scheduling on the Network Edge). applications with stringent privacy requirements are scheduled on an mdc closer to the user, whereas others can be scheduled on a cdc or a remotemdc. We also discuss how application performance and network latency influence the choice of an mdc or cdc. the intuition is that due to a lower communication latency between the user & the mdc, more applications are able to meet their deadlines when run on themdc. Conversely, applications with loose deadlines may be executed on a cdc. In order to facilitate this, we also propose a distributed orchestration architecture and protocol that is both performance & security aware. Simulation results show that RT-SANE offers superior real-time performance compared to a number of other scheduling policies in an Edge computing environment, while meeting application privacy requirements.

关键词： Internet of things IoT Fog Computing Edge Computing Cloud omputing Cloudlets Micro data Centers Cloud data Center Distributed Orchestration Real-Time security

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Synthesis of Probabilistic privacy Enforcement 17

Synthesis of Probabilistic Privacy Enforcement

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24th acm-SIGSAC conference on Computer and Communications security (acm CCS)

作者： Kucera, Martin Tsankov, Petar Gehr, Timon Guarnieri, Marco Vechev, Martin Swiss Fed Inst Technol Zurich Switzerland

ISBN: (纸本)9781450349468

Existing probabilistic privacy enforcement approaches permit the execution of a program that processes sensitive data only if the information it leaks is within the bounds specified by a given policy. thus, to extract any information, users must manually design a program that satisfies the policy. In this work, we present a novel synthesis approach that automatically transforms a program into one that complies with a given policy. Our approach consists of two ingredients. First, we phrase the problem of determining the amount of leaked information as Bayesian inference, which enables us to leverage existing probabilistic programming engines. Second, we present two synthesis procedures that add uncertainty to the program's outputs as a way of reducing the amount of leaked information: an optimal one based on SMT solving and a greedy one with quadratic running time. We implemented and evaluated our approach on 10 representative programs from multiple application domains. We show that our system can successfully synthesize a permissive enforcement mechanism for all examples.

关键词： privacy enforcement bayesian inference program synthesis

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