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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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Context Intelligent Crypto-Switching Algorithm for Document security in Cloud Environment 5

Context Intelligent Crypto-Switching Algorithm for Document ...

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5th International conference on Inventive Computation Technologies (ICICT)

作者： Kamde, Pritesh Carvalho, Ross Jain, Damnik Makwana, Mihir Ambawade, Dayanand Sardar Patel Inst Technol Mumbai Maharashtra India

ISBN: (纸本)9781728146850

data privacy and security is a primary concern for any government/non-government organizations. this organizational data primarily exists in the form of textual documents. these documents aids an organization for executing their day-to-day operations. Further these documents may contain some sensitive information which needs additional security. For the purpose of storing the documents, local file systems pose a restriction in terms of storage capacity moreover they are vulnerable to physical damage. Large organizations need hefty amount of data to be stored hence cloud storage is preferred. the proposed methodology incorporates the use of finding the the context of the given document using a Recurrent Neural Network algorithm. Depending on the context a severity score is obtained which acts as a deciding factor for the selection of an appropriate encryption algorithm. A suite of high level encryption algorithm such as AES is used depending on the sensitivity of the document.

关键词： Information security Recurrent Neural Network (RNN) Long Short Term Memory (LSTM) Cryptography Algorithm Cloud Storage

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A Review: data security in Cloud Computing Using Machine Learning

A Review: Data Security in Cloud Computing Using Machine Lea...

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International conference on Contemporary Computing and Informatics (IC3I)

作者： Pravallika Kandi Sujith Raj Tarapatla Sandeep Kumar Harshitha Kadiyam Dinesh Chowdary Nageswar Rao Moparthi Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh India

In today's IT industry, cloud computing, and the broader cloud services sector have gained widespread acceptance. To put it simply, cloud services provide cloud computing, which enables on-demand access to IT resources through the internet and employs a pay-per-use pricing model based on subscription authorization and centralized hosting. the need for public cloud services is increasing at an unprecedented rate as the 21st century becomes more digital. Cloud computing makes it easy to access servers, storage, databases, and various application services via the internet. the cloud environment supports a variety of advantages, but it also has a few drawbacks. Regardless of the highest industry certifications and security requirements implemented by cloud service providers, there are always risks when storing sensitive data on third-party service providers. security and privacy must play a significant role when discussing data security, especially when handling sensitive data. Many solutions have been created to deal with this problem. It is necessary to discover, classify, and analyze the significant existing work because there is a shortage of analysis among the current solutions. this paper relates and briefly analyses the top methods for safely exchanging and safeguarding data in a cloud setting. the discussion of each specific technique covers its role in data protection, prospective and reliable solutions in the field, scope, future directions, etc. the applicability and integrity of the methodologies are then explored regarding the demands and results.

关键词： Industries Cloud computing Heuristic algorithms Distributed databases data protection Classification algorithms Partitioning algorithms

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Attacking and Protecting Tunneled Traffic of Smart Home Devices 20

Attacking and Protecting Tunneled Traffic of Smart Home Devi...

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

作者： Alshehri, Ahmed Granley, Jacob Yue, Chuan Colroado Sch Mines Golden CO 80401 USA

ISBN: (纸本)9781450371070

the number of smart home IoT (Internet of things) devices has been growing fast in recent years. Along with the great benefits brought by smart home devices, new threats have appeared. One major threat to smart home users is the compromise of their privacy by traffic analysis (TA) attacks. Researchers have shown that TA attacks can be performed successfully on either plain or encrypted traffic to identify smart home devices and infer user activities. Tunneling traffic is a very strong countermeasure to existing TA attacks. However, in this work, we design a Signature based Tunneled Traffic Analysis (STTA) attack that can be effective even on tunneled traffic. Using a popular smart home traffic dataset, we demonstrate that our attack can achieve an 83% accuracy on identifying 14 smart home devices. We further design a simple defense mechanism based on adding uniform random noise to effectively protect against our TA attack without introducing too much overhead. We prove that our defense mechanism achieves approximate differential privacy.

关键词： Internet of things (IoT) Traffic Analysis (TA) privacy Differential privacy Smart Homes Attacks Defenses

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application of Improved Ant Colony Optimization Algorithm in Urban Ecological Landscape Spatial Layout Optimization Method

Application of Improved Ant Colony Optimization Algorithm in...

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5th International conference on Machine Learning and Big data Analytics for IoT security and privacy, SPIoT 2024

作者： Ma, Ruiqi Xi'An FanYi University Shaanxi Xi'an710105 China

Traditional spatial planning methods have many limitations when facing complex urban environments. therefore, this study introduces an urban ecological landscape spatial layout optimization method based on improved ACO (Ant Colony Optimization). By introducing new optimization strategies and parameter adjustments, the global search capability and convergence speed of the algorithm are improved. this study first defines different functional areas in the urban ecological landscape as nodes, and the connecting roads or ecological corridors between nodes as paths, and constructs a weighted graph model. then, the algorithm is initialized by setting key parameters such as the number of ants, pheromone factor, heuristic function factor, etc. Next, various improvement strategies such as adaptive pheromone adjustment, pheromone range limitation, dynamic local pheromone update, continuous space adaptation and simulated annealing embedding are applied. In the path selection and search phase, ants select the next node based on pheromone concentration and heuristic information to form a complete path. Finally, pheromones are updated according to the path quality and a new round of iteration is started until the termination condition is met. the improved algorithm also shows better optimization effects in terms of ecological connectivity index, floor area ratio and green space coverage. In 20 layout optimization tasks, the improved algorithm improves the ecological connectivity index, the floor area ratio increases from an average of 1.54 to 2.8, and the maximum green coverage rate increases from 27.6% to 42.8%. these results not only verify the effectiveness of the improved algorithm but also demonstrate its wide applicability and strong optimization capabilities in different urban ecological landscape layouts. © 2025 the Authors. Published by Elsevier B.V.

关键词： Ant colony optimization

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Automatic Pattern Generation Based on Genetic Algorithm and its application in Design Platform

Automatic Pattern Generation Based on Genetic Algorithm and ...

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5th International conference on Machine Learning and Big data Analytics for IoT security and privacy, SPIoT 2024

作者： He, Yue Zhang, Lingxia College of General Education College of Art and Information Engineering Dalian University of Technology Liaoning Dalian116400 China College of Art and Design School of Art and Information Engineering Dalian University of Technology Liaoning Dalian116000 China

In order to solve the problems of limited creativity and low design efficiency in the traditional pattern design process, this paper introduces genetic algorithm for automatic pattern generation. this method continuously optimizes the pattern genome by simulating the operations in the biological evolution process to generate patterns that meet specific aesthetic standards and design requirements. this paper first initializes random patterns as the initial population, and each pattern is regarded as an individual with its own genome. Next, a fitness function is defined to evaluate the conformity of each pattern. then, based on the fitness score, the patterns with better performance are selected to enter the next generation, simulating the "survival of the fittest"law in nature. through mutation operations, the gene values of some patterns are randomly changed to increase the diversity of the population and avoid falling into the local optimal solution. In the design platform, the generation technology proposed in this paper is integrated into a functional module. Users can set pattern parameters through a simple interface and then start the automatic generation process. the system will automatically run the genetic algorithm based on the user's input and display the generated patterns and their evolution process in real time on the design platform. Compared with the traditional rule-based pattern generation method, the proposed method has advantages in generation time, color consistency and innovation score, and the maximum generation time is only 399 milliseconds. the proposed method provides stronger support for the development of the design industry. © 2025 the Authors. Published by Elsevier B.V.

关键词： Genetic algorithms

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ChainDB: Ensuring Integrity of Querying Off-Chain data on Blockchain 22

ChainDB: Ensuring Integrity of Querying Off-Chain Data on Bl...

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proceedings of the 2022 5th International conference on Blockchain Technology and applications

作者： Jianbo Gao Jiashuo Zhang Yue Li Jiakun Hao Ke Wang Zhi Guan Zhong Chen School of Computer Science Peking University China National Engineering Research Center for Software Engineering Peking University China

ISBN: (纸本)9781450397575

Enterprise blockchain applications have been widely adopted and the data scale on blockchain increases rapidly in recent years. In practical application, participants prefer to store most of the business data in local database systems and only provide when queried by others due to privacy concerns, high storage cost, or constraints of on-chain space. However, this makes that the integrity of query results cannot be guaranteed and participants cannot fully trust others, and data owner has the opportunity to provide falsified records. In this paper, we present ChainDB, a relational database that can ensure integrity of querying off-chain data on blockchain. the key insight behind is using Merkle B+ tree as index structure, thus has being able to provide Merkle proof and keep all the records in order. Since the index structure is extended on B+ tree, ChainDB is compatible with common SQL operations and it is easy for enterprises to migrate from classic database systems to ChainDB. the experimental results show that ChainDB not only provides the ability to ensure integrity of querying off-chain data on blockchain, but also performs better than existing solutions.

关键词： Enterprise blockchain Merkle proof Range query data integrity Index structure

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

Proceedings of the 15th ACM Asia Conference on Computer and ...

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

ISBN: (纸本)9781450367509

the proceedings contain 85 papers. the topics discussed include: proofs or remote execution and mitigation of TOCTOU attacks;global communication guarantees in the presence of adversaries;the Lazarus effect: healing compromised devices in the Internet of small things;AuthCTC: defending against waveform emulation attack in heterogeneous IoT environments;DeepPower: non-intrusive and deep learning-based detection of IoT malware using power side channels;your smart home can’t keep a secret: towards automated fingerprinting of IoT Traffic;PassTag: a graphical-textual hybrid fallback authentication system;provable-security model for strong proximity-based attacks: with application to contactless payments;skeptic: automatic, justified and privacy-preserving password composition policy selection;preparing network intrusion detection deep learning models with minimal data using adversarial domain adaptation;creating character-based templates for log data to enable security event classification;and in-network filtering of distributed denial-of-service traffic with near-optimal rule selection.

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IoT-CryptoDiet: Implementing a Lightweight Cryptographic Library based on ECDH and ECDSA for the Development of Secure and privacy-preserving Protocols in Contiki-NG 5

IoT-CryptoDiet: Implementing a Lightweight Cryptographic Lib...

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

作者： Frimpong, Eugene Michalas, Antonis Tampere Univ Tampere Finland

ISBN: (纸本)9789897584268

Even though the idea of transforming basic objects to smart objects with the aid sensors is not new, it is only now that we have started seeing the incredible impact of this digital transformation in our societies. there is no doubt that the Internet of things (IoT) has the power to change our world and drive us to a complete social evolution. this is something that has been well understood by the research and industrial communities that have been investing significant resources in the field of IoT. In business and industry, there are thousands of IoT use cases and real-life IoT deployments across a variety of sectors (e.g. industry 4.0 and smart factories, smart cities, etc.). However, due to the vastly resource-constrained nature of the devices used in IoT, implementing secure and privacy-preserving services, using, for example, standard asymmetric cryptographic algorithms, has been a real challenge. the majority of IoT devices on the market currently employ the use of various forms of symmetric cryptography such as key pre-distribution. the overall efficiency of such implementations correlates directly to the size of the IoT environment and the deployment method. In this paper, we implement a lightweight cryptographic library that can be used to secure communication protocols between multiple communicating nodes without the need for external trusted entities or a server. Our work focuses on extending the functionalities of the User datagram Protocol (UDP) broadcast application on the Contiki-NG Operating System (OS) platform.

关键词： Contiki-NG Elliptic Curve Cryptography Key Distribution privacy Wireless Sensor Networks

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Research of Blockchain-Based "Edge-Cloud" Collaborative Model, System Architecture and Overall Layout for Railway application 5th

Research of Blockchain-Based "Edge-Cloud" Collaborative Mode...

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5th International conference on Intelligent, Interactive Systems and applications, IISA 2020

作者： Jianjun, Ma Wanqi, Wang Haiyan, Shen Jiaying, Duan China Academy of Railway Sciences Group Co. Ltd. Beijing China China Academy of Railway Sciences Group Co. Ltd. Institute of Electronic Computing Technology Beijing China

ISBN: (纸本)9783030637835

With the advent of an explosive age of the data in perception of everything, interconnection of everything, and intelligence of everything as well as the high requirement for millisecond low latency business, Cloud Computing is facing with two main bottlenecks, namely bandwidth shortage and network latency. As the extension of and supplementary to Cloud Computing, Edge Computing offers quickly responding Intelligent Edge services. It is a new type of flexible computing model that is four-in-one including Cloud, Edge, Terminal, and Intelligence. Blockchain-based "Edge-Cloud" Collaborative Ability-based Model builds a flexible open eco system with built-in security attributes and security ability, and offers users with "credible, reliable, controllable, verifiable, auditable and traceable" services that cover the whole chain of "Terminal Protection – Device Verification- Cloud Identification" for the whole life cycle of data. "Edge-Cloud" Collaborative Ability-based Model satisfies the critical requirements for business agility connectivity, real-time business processing, data optimization, application intelligence, as well as security and privacy protection. As an indispensable key element and a mainstream model, it empowers the development of intelligent railway. © 2021, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blockchain

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application of Intelligent Control Strategy in Asynchronous Motor Speed Regulation System and Research on Energy Efficiency Improvement

Application of Intelligent Control Strategy in Asynchronous ...

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5th International conference on Machine Learning and Big data Analytics for IoT security and privacy, SPIoT 2024

作者： Hao, Zhixu Hu, Gaoshan Xi, Chunyan Shenyang Urban Construction University Liaoning Shenyang110167 China

Aiming at the shortcomings of traditional asynchronous motor speed control system in energy saving and control accuracy, this paper introduces intelligent control strategy, which aims to improve the response speed and energy efficiency of the speed control system through improved fuzzy logic control algorithm and adaptive PID controller (Proportion Integration Differentiation). Firstly, a speed control strategy based on fuzzy logic is proposed for the dynamic characteristics and load changes of the asynchronous motor speed control system. By constructing fuzzy rules between the motor speed and the control signal, the control accuracy of the system is optimized. Secondly, an adaptive PID controller is designed to adjust the PID parameters in real time with an adaptive algorithm to ensure that the system can maintain good control performance under load changes or external disturbances. By adjusting the proportional, integral, and differential gain parameters, the system can quickly restore to a stable state in an unstable environment. Finally, a large number of experiments are carried out to compare the performance of traditional PID control and the improved fuzzy adaptive PID control, and to evaluate its performance in energy efficiency and speed regulation accuracy. Under heavy load conditions (target speed 1800 rpm, load power 5-7.5 kW), the intelligent control strategy shows significant advantages in energy efficiency optimization and speed control. At 10 seconds, the cumulative energy consumption of traditional control is 95 kJ, while that of intelligent control is only 70 kJ. the combination of fuzzy logic and adaptive PID control in this paper optimizes the dynamic response performance and steady-state performance of the system, especially when the load changes greatly, the system shows better stability and energy saving effect. © 2025 the Authors. Published by Elsevier B.V.

关键词： three term control systems

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