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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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4th International conference on Advanced Informatics for Computing Research, ICAICR 2020

4th International Conference on Advanced Informatics for Com...

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4th International conference on Advanced Informatics for Computing Research, ICAICR 2020

ISBN: (纸本)9789811636523

the proceedings contain 23 papers. the special focus in this conference is on Advanced Informatics for Computing Research. the topics include: Internet of things in Healthcare: A Review;inter-Vehicular Communication for Intelligent Collision Avoidance Using Machine Learning: An Overview;wireless Sensor Networks Source Location privacy Preservation Mechanism;a Study on Secure data Aggregation and Routing for Wireless Sensor Networks;comparative Analysis of Internet of things (IoT) security Models;study of Energy Efficient Routing Protocols for Adhoc-Wireless Sensor Networks;ioT Based Smart Transport Management System;vehicular Ad Hoc Network: Routing Protocols;a Reluctant Checksum Scheme Based on the Inherent Characteristic of Wireless Networks;Optimised Multi Energy System (OMES) for Electric Vehicle;anomaly Based Detection of Cross Site Scripting Attack in Web applications Using Gradient Boosting Classifier;crypto Key Protection Generated from Images and Chaotic Logistic Maps;an Effıcıent Fault Management in Communication Networks Usıng On Demand Link State Algorıthm;application and Analysis of Phishing Website Detection in Machine Learning and Neural Networks;modeling of Microstrip Patch Antenna Using Artificial Neural Network Algorithms;Smart PDM: A Novel Smart Meter for Design Measurement and data Collection for Smart Grid;GSM Based Remote Distribution Transformer Condition Monitoring System;Performance Analysis and Classification of Node Capture Attack Models in WSN;an Efficient IoT Based Framework for Missed Call Messaging Services for Electricity Consumers;A Divide and Conquer Based data Aggregation Technique for WBANs;open Research Challenges and Blockchain Based security Solution for 5G Enabled IoT.

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4th International conference on Advanced Informatics for Computing Research, ICAICR 2020

4th International Conference on Advanced Informatics for Com...

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4th International conference on Advanced Informatics for Computing Research, ICAICR 2020

ISBN: (纸本)9789811636592

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application Lifecycle Management for Industrial IoT Devices in Smart Grid Use Cases 5

Application Lifecycle Management for Industrial IoT Devices ...

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5th International conference on Internet of things, Big data and security (IoTBDS)

作者： Cejka, Stephan Kintzler, Florian Muellner, Lisa Knorr, Felix Mittelsdorf, Marco Schumann, Joern Siemens AG Osterreich Vienna Austria Fraunhofer Inst Solar Energy Syst ISE Freiburg Germany

ISBN: (纸本)9789897584268

Complex cyber-physical systems like the Smart Grid, in which Industrial Internet of things (IIoT) technology is used, require advanced software maintenance mechanisms to remain dependable and secure. In this paper, requirements and tasks for an application lifecycle management for IIoT use cases, with special focus on the domains of Smart Grid and Smart Buildings, are defined and state-of-the-art software deployment processes from IoT use cases are evaluated for usage in those domains. As there is no suitable framework, an approach for the deployment of OSGi components is described. On top of such software deployment tools, a knowledge-based software management framework that utilizes domain specific knowledge to create and execute software rollout plans will be presented. thus, dependencies can be managed on device, system and domain level.

关键词： Software Management Software Rollout Cyber-physical System application Lifecycle Management Dependability

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5th International conference on Information Systems security and privacy, ICISSP 2019

5th International Conference on Information Systems Security...

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5th International conference on Information Systems security and privacy, ICISSP 2019

ISBN: (纸本)9783030494421

the proceedings contain 19 papers. the special focus in this conference is on Information Systems security and privacy. the topics include: Protection of User-Defined Sensitive Attributes on Online Social Networks Against Attribute Inference Attack via Adversarial data Mining;user Behavioral Biometrics and Machine Learning Towards Improving User Authentication in Smartphones;threat Modeling and Attack Simulations of Connected Vehicles: Proof of Concept;the security of the Speech Interface: A Modelling Framework and Proposals for New Defence Mechanisms;hypervisor Memory Introspection and Hypervisor Based Malware Honeypot;Guidelines and Tool Support for Building a Cybersecurity Awareness Program for SMEs;analysing the Provenance of IoT data;improving Interoperability in Multi-domain Enterprise Right Management applications;fine-Grained Access Control for Querying Over Encrypted Document-Oriented database;next Generation Information Warfare: Rationales, Scenarios, threats, and Open Issues;information Technology Consulting Firms’ Readiness for Managing Information security Incidents;Evaluation of Side-Channel Key-Recovery Attacks on LoRaWAN End-Device;black-Box Attacks via the Speech Interface Using Linguistically Crafted Input;proposal and Performance Evaluation of an Order-Specified Aggregate Authority-Transfer Signature;context-Aware Software-Defined Networking for Automated Incident Response in Industrial Networks;Transparency Enhancing Tools and the GDPR: Do they Match?;user Study of the Effectiveness of a privacy Policy Summarization Tool.

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Acoustic Localization System based on Smartphone without Time Synchronization 5

Acoustic Localization System based on Smartphone without Tim...

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5th International conference on Information Science, Computer Technology and Transportation (ISCTT)

作者： Zhang, Peng Wang, Mei Qiu, Hongbing Kan, Ruixiang Guilin Univ Elect Technol Sch Informat & Commun Guilin Peoples R China Guilin Univ Technol Sch Informat Sci & Engn Guilin Peoples R China

ISBN: (纸本)9781728185750

Aiming at the problems of traditional indoor localization system, such as special user equipment, strict clock synchronization and long localization period, we propose a smartphone indoor acoustic localization system without synchronization. the system uses acoustic signal collected by master node to calculate the real time difference among nodes, in that way it only needs to control the time order of acoustic signal for each node without strict clock synchronization. In addition, considering of limited bandwidth, the acoustic signal transmission scheme based on time division and frequency division is adopted to greatly reduce the localization period. Finally, users only need to hold a smartphone and the recorded data does not need to be uploaded to the server, which ensures the privacy security. Experiments demonstrated that the proposed system can achieve localization accuracy within 10cm in a 6X6m conference room with a 90% probability, which has certain application value and research significance.

关键词： indoor localization smartphone synchronization-free acoustic signal privacy security

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Discussion on Heterogeneous Converged IoT Networking Scheme of CBN in Hotel Field 5

Discussion on Heterogeneous Converged IoT Networking Scheme ...

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5th International conference on Internet of things, Big data and security (IoTBDS)

作者： Bai, Jiujun Tong, Yuqing Chen, Xuebo Univ Sci & Technol Liaoning Sch Elect & Informat Engn Qianshan Rd Anshan Liaoning Peoples R China

ISBN: (纸本)9789897584268

the Internet of things (IoT) is a business area that the four major domestic operators must compete in the 5G era. How to build a hotel IoT solution based on China Broadcast Network (CBN) without affecting the transmission of video information in the hotel industry is an urgent problem. Under the conditions of internal transmission networks, integrating a networking solution into the CBN IoT is a key for this problem. this paper proposes a heterogeneous networking scheme combining the common transmission medium conditions in the hotel with the conventional network architecture of the IoT, CBN video transmission network and hotel transmission network together. this should be a new idea for the hotel CBN IoT business.

关键词： 5G the Internet of things (IoT) China Broadcast Network (CBN) Heterogeneous Network application Server IoT Gateway

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Optimization of Information security Sharing Mechanism of Online Education Platform based on Block Chain Technology 21

Optimization of Information Security Sharing Mechanism of On...

引用

proceedings of the 5th International conference on Digital Technology in Education

作者： Guoping Chen Guosen Miao Yingchun Xue Center of Service Science and Engineering Wuhan University of Science and Technology China

ISBN: (纸本)9781450384995

Under the ravages of the COVID-19, online education platform business has achieved rapid development, and excessive platform integration and the spread of paid knowledge have also spawned security problems of data sharing between platforms and users. Meanwhile, the development of Internet technology has also increased the difficulty of knowledge safeguarding rights on education platforms and cracking down on piracy. Based on the application characteristics of blockchain technology, this paper proposes a dual authentication mode of node + platform based on hash detection. through the smart contract provided by Ethereum, data encryption linking and two-way verification between different platforms are realized. After linking to blockchain, data transmitted over the network can be protected from hacking and tampering. the research in this paper has an enlightening effect on promoting the integration development of blockchain technology and emerging industries, and also makes a specific judgment on the next integration development direction.

关键词： Online education platform data sharing two-way verification Blockchain

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POSTER: Attacks to Federated Learning: Responsive Web User Interface to Recover Training data from User Gradients 20

POSTER: Attacks to Federated Learning: Responsive Web User I...

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15th acm Asia conference on Computer and Communications security, ASIA CCS 2020

作者： Lianto, Hans Albert Zhao, Yang Zhao, Jun Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781450367509

Local differential privacy (LDP) is an emerging privacy standard to protect individual user data. One scenario where LDP can be applied is federated learning, where each user sends in his/her user gradients to an aggregator who uses these gradients to perform stochastic gradient descent. In a case where the aggregator is untrusted and LDP is not applied to each user gradient, the aggregator can recover sensitive user data from these gradients. In this paper, we present a new interactive web demo showcasing the power of local differential privacy by visualizing federated learning with local differential privacy. Moreover, the live demo shows how LDP can prevent untrusted aggregators from recovering sensitive training data. A measure called the exp-hamming recovery is also created to show the extent of how much data the aggregator can recover. © 2020 Owner/Author.

关键词： Recovery

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Machine Learning Approaches for Diabetes Classification: Perspectives to Artificial Intelligence Methods Updating 5

Machine Learning Approaches for Diabetes Classification: Per...

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5th International conference on Internet of things, Big data and security (IoTBDS)

作者： Mainenti, Giuseppe Campanile, Lelio Marulli, Fiammetta Ricciardi, Carlo Valente, Antonio S. Univ Salerno DIEM Salerno Italy Univ Campania L Vanvitelli Dept Matemat & Fis Caserta Italy Univ Naples Federico II Dept Adv Biomed Sci Naples Italy Publ Funding Accountable Caserta Italy

ISBN: (纸本)9789897584268

In recent years the application of Machine Learning (ML) and Artificial Intelligence (AI) techniques in healthcare helped clinicians to improve the management of chronic patients. Diabetes is among the most common chronic illness in the world for which often is still challenging do an early detection and a correct classification of type of diabetes to an individual. In fact it often depends on the circumstances present at the time of diagnosis, and many diabetic individuals do not easily fit into a single class. the aim is this paper is the application of ML techniques in order to classify the occurrence of different mellitus diabetes on the base of clinical data obtained from diabetic patients during the daily hospitals activities.

关键词： Diabetes Classification Diabetes Management Machine Learning Artificial Intelligence Big data Analytics

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Explore the Transformation Space for Adversarial Images 20

Explore the Transformation Space for Adversarial Images

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10th acm conference on data and application security and privacy (CODASPY)

作者： Chen, Jiyu Wang, David Chen, Hao Univ Calif Davis Davis CA 95616 USA Vestavia Hills High Sch Vestavia Hills AL USA

ISBN: (纸本)9781450371070

Deep learning models are vulnerable to adversarial examples. Most of current adversarial attacks add pixel-wise perturbations restricted to some L-p -norm, and defense models are evaluated also on adversarial examples restricted inside L-p-norm balls. However, we wish to explore adversarial examples exist beyond L-p-norm balls and their implications for attacks and defenses. In this paper, we focus on adversarial images generated by transformations. We start with color transformation and propose two gradient-based attacks. Since L-p-norm is inappropriate for measuring image quality in the transformation space, we use the similarity between transformations and the Structural Similarity Index. Next, we explore a larger transformation space consisting of combinations of color and affine transformations. We evaluate our transformation attacks on three data sets - CIFAR10, SVHN, and ImageNet - and their corresponding models. Finally, we perform retraining defenses to evaluate the strength of our attacks. the results show that transformation attacks are powerful. they find high-quality adversarial images that have higher transferability and misclassification rates than C&W's L-p attacks, especially at high confidence levels. they are also significantly harder to defend against by retraining than C&W's L-p attacks. More importantly, exploring different attack spaces makes it more challenging to train a universally robust model.

关键词： Adversarial attacks Image transformation Deep learning security

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