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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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Decentralized security in IoT: Lightweight Blockchain with Optimized CA-LSTM for Improved Performance and privacy 5

Decentralized Security in IoT: Lightweight Blockchain with O...

引用

5th International conference on data Intelligence and Cognitive Informatics, ICDICI 2024

作者： Selvakumarasamy, K. Kumar, T. Rajesh Meenambika, A. Balamanigandan, R. Mahaveerakannan, R. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Chennai602105 India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Tamil Nadu Chennai602105 India Psna College of Engineering and Technology Computer Science and Business Systems India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350389609

An existing infrastructure can be linked to billions of devices, or "things,"through the Internet of things (IoT). this allows for machine-to-machine communication as well as human-to-human communication. Massive volumes of data are being generated due to the proliferation of devices globally, which permeates every facet of everyday life. thus, new problems are emerging as a result of the development and use of existing technologies, and these problems pertain to new applications, regulations, cloud computing, security, and privacy. With its decentralized nature, the blockchain has the potential to protect users' and data's privacy. this study introduces a novel method that makes use of lightweight blockchain technology to significantly lessen the computing load usually seen in traditional blockchain systems. Implementation time and computational complexity can be significantly reduced by connecting this lightweight blockchain with IoT devices. Improved safety is achieved by the use of CA-LSTM (channel attention long short-term memory) technology for attack detection. In order to improve the CA-LSTM algorithm's solution, the suggested system uses the RMSSO algorithm as a hyperparameter tuning technique. Similarly, to found very little power consumption and physical memory utilization;for example, Raspberry Pi devices used 0.2 GB of memory and NVIDIA Jetson devices used 0.42 GB. With the deployed model, power consumption increased by an average of 15% per device. this technology makes it easier to build certain types of business models and gives decentralized apps the ability to securely compute on encrypted data without compromising user privacy. the findings confirm that the proposed system is very secure, on par with conventional blockchain implementations. © 2024 IEEE.

关键词： Differential privacy

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privacy-preserving smart grid fault diagnosis method based on federated conditional model strategy 5

Privacy-preserving smart grid fault diagnosis method based o...

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5th International conference on Signal Processing and Computer Science, SPCS 2024

作者： Xu, Aidong Du, Jinran Dai, Tao Xu, Peiming Wang, Zhuowei Chen, Chong Mao, Dong Electric Power Research Institute CSG Guangdong Guangzhou China Guangdong Provincial Key Laboratory of Power System Network Security Guangzhou China School of Computers Guangdong University of Technology Guangzhou China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

In this study, a method based on Differential privacy Federated Learning (DPFL) is adopted, which is suitable for safe and efficient processing of power grid data. Combined with a new algorithm called DP-FedSAM, which combines the sharpness-aware minimization (SAM) optimizer and differential privacy technology, it aims to solve the problems of privacy protection and model performance degradation in power grid data analysis. DP-FedSAM avoids the need for centralized data storage and processing by performing model training locally on each power grid operating node, thereby reducing the risk of data leakage. Each node uses a SAM optimizer to locally generate a smoother, more generalizable model and adds noise via a differential privacy mechanism to ensure secure sharing of updates. this method pays special attention to processing the non-independent and identically distributed (Non-IID) characteristics of power grid data, by testing the robustness and effectiveness of the algorithm in different regions and conditions. Preliminary experimental results show that DP-FedSAM performs well on a variety of power grid data sets, effectively improving the model's generalization ability and prediction accuracy, while strictly complying with privacy protection standards. © 2025 SPIE.

关键词： Information leakage

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BigMac: Performance Overhead of User Plane Integrity Protection in 5G Networks 23

BigMac: Performance Overhead of User Plane Integrity Protect...

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16th acm conference on security and privacy in Wireless and Mobile Networks, WiSec 2023

作者： Heijligenberg, thijs Knips, Guido Böhm, Christian Rupprecht, David Kohls, Katharina Radboud University Nijmegen Netherlands Ruhr University Bochum Germany Radix Security Bochum Germany

ISBN: (纸本)9781450398596

5G introduces a series of new security features that overcome known issues of the previous mobile generations. One of these features is integrity protection for user plane data. While this addition protects against manipulations like DNS spoofing, it also introduces extra overhead to user plane traffic. As it is optional to enable, this additional overhead can be the decision point for network operators to avoid the additional security feature. In this work, we investigate the overhead induced by different integrity protection algorithms and test the burden they add to the workload of a device. Our results indicate how visible performance differences would be on the end-devices of users, and how the performance of the algorithms differs in isolation. With these results we aim to initiate a discussion regarding the benefits of enabling user plane integrity protection and to overcome misconceptions regarding the performance impairments for end users. © 2023 Owner/Author.

关键词： 5G mobile communication systems

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Robust Ad-hoc security Measures In Cloud Computing 5

Robust Ad-hoc Security Measures In Cloud Computing

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5th IEEE International conference on Advances in Computing, Communication Control and Networking, ICAC3N 2023

作者： Vashisht, Vijay Laxmi Gupta, Bhavya Yadav, Sudeept Singh Galgotias University Greater Noida India

ISBN: (纸本)9798350330861

Due to the integration of cloud computing with ad hoc networks and the growing use of wireless networks, ad hoc security in cloud computing has emerged as a critical issue. Specially appointed networks are remote organizations made on the fly with next to no decent framework, and they are powerless against different security assaults. Authentication and access control, encryption and confidentiality, intrusion detection, scalability, privacy, and energy efficiency are just a few of the robust security measures that must be put into place when ad hoc networks and cloud computing are combined. Access control policies control who can access network resources, while authentication and access control ensure that only authorized users can do so. data transmitted over a network can be kept confidential using encryption algorithms like AES, RSA, and ECC. In the event of a security breach, intrusion detection systems (IDS) can be used to monitor the network for suspicious activity and notify the network administrator. the network's scalability, privacy, and energy efficiency can all be ensured by employing lightweight encryption algorithms, privacy-preserving mechanisms, and energy-efficient security mechanisms. © 2023 IEEE.

关键词： Authentication

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Strategies for Building and Maintaining Secure Web applications 5

Strategies for Building and Maintaining Secure Web Applicati...

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5th International conference on Mobile Computing and Sustainable Informatics, ICMCSI 2024

作者： Sathiyapriyan, C. Manikandan, B. Gokul, S. Satheesh, Rewin Nivetha, S. Leelavathy, S. Aarupadai Veedu Institute of Technology Cyber Security Department of Computer Science and Engineering Chennai603104 India Aarupadai Veedu Institute of Technology Department of Computer Science and Engineering Chennai603104 India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai600119 India

ISBN: (纸本)9798350395235

Ensuring the security of web applications is paramount in safeguarding sensitive data and maintaining user trust. this study presents a comprehensive overview of strategies for building and maintaining secure web applications, acknowledging their inherent limitations and outlining potential areas for future work. the strategies discussed encompass fundamental aspects of web application security, including input validation and sanitization, robust authentication and authorization mechanisms, secure communication through HTTPS, timely security patching, implementation of security headers, monitoring and logging, client-side security measures, and vigilance in handling third-party components.. this research employed algorithms include Routing Algorithms, Middleware Execution Order Algorithms, Eloquent ORM Algorithms, Encryption and Hashing Algorithms, Session Handling Algorithms, Queue Management Algorithms, and Dependency Injection Algorithms. © 2024 IEEE.

关键词： Sensitive data

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5th International conference on Innovative data Communication Technologies and application, ICIDCA 2024

5th International Conference on Innovative Data Communicatio...

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5th International conference on Innovative data Communication Technologies and application, ICIDCA 2024

the proceedings contain 103 papers. the topics discussed include: secure goods storage and anti-theft approach using Ethereum blockchain;an enhanced dynamic multi-path routing algorithm for software defined networks;integrated leaf disease recognition across diverse crops through transfer learning;a pre-trained model for aspect-based sentiment analysis task: using online social networking;solar irradiance forecasting using improved sample convolution and interactive learning;an effective deployment of controllers in software-defined networks;a novel architecture for community detection between large social media creators;enhancing veracity: empirical evaluation of fake news detection techniques;privacy in smart homes with remote user authenticated key establishment protocol;and prediction of consultation wait time in outpatient clinic: an approach using neural network with optimized feature selection.

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Comparative Study of security threats in Cloud Computing 5

Comparative Study of Security Threats in Cloud Computing

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5th IEEE International conference on Advances in Computing, Communication Control and Networking, ICAC3N 2023

作者： Garg, Tisha Shalu Saini, Neha Singh, Manjeet Manav Rachna University Department Of Computer Science & Technology Faridabad India Manav Rachna University Haryana Faridabad India Government College Chhachhrauli Hry Yamuna Nagar India Govt. College Bhainswal Kalan Haryana Sonipat India

ISBN: (纸本)9798350330861

Cloud computing (CC) offers on-requirement access of the resources to perform cloud related activities and generates bill as per the use by customer. It minimizes both the cost and the complexity for service suppliers. CC is known to be the foundation of the IT world and becoming an essential part of the organizations. the growing adoption of cloud computing has several drawbacks for businesses. It includes data breaches, data leakage, attacks, unauthorized access. Cloud computing security risks are growing at an alarming rate. the service providers have very strict security policies and their implementation. this study aims to discuss different types of security threats at each service models of the cloud and their mitigation methods that provides a way to ameliorate the threats. To address the security issue separately for each cloud service, a derivative approach based on the spiral model is proposed in this research. the Spiral Model is a powerful tool for mitigating risks associated with each cloud service models. By following its four phases, the spiral model facilitates the constant identification and mitigation of security issues during the development of a cloud-based application. the proposed methodology can be used to guarantee cloud security by reducing vulnerabilities and security threats. © 2023 IEEE.

关键词： data privacy

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An Enhanced Multi-Key Asymmetric Cryptosystem for Strengthened data security 5

An Enhanced Multi-Key Asymmetric Cryptosystem for Strengthen...

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5th International conference on Sustainable Communication Networks and application, ICSCNA 2024

作者： Yuvarani, R. Mahaveerakannan, R. Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Computer Science and Engineering Tamilnadu Chennai602105 India

ISBN: (纸本)9798331530013

the rapid growth of network technology has led to increased exposure to security vulnerabilities due to more systems being connected globally. Securing end-to-end connections is essential to guaranteeing data integrity, confidentiality, and authenticity since internet-based services such as banking and shopping handle sensitive data. To protect sensitive information from unwanted access, cryptography is crucial. Asymmetric cryptosystems are more secure than symmetric ones because they employ different keys for encryption and decoding. the efficiency of asymmetric cryptosystems is determined by important characteristics such throughput, unpredictability, encryption and decryption times, and key length. In order to demonstrate better performance across these important parameters, this study assesses these aspects of current asymmetric cryptosystems and suggests a more safe and effective method. © 2024 IEEE.

关键词： Asymmetric Cryptosystems Cryptography Decryption Computation Time and throughput Elgamal Elliptic Curve Encryption Computation Time and throughput Instruction per Operation Key Length Multiple Keys Performance Private Key Randomness RSA throughput

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Assessment of Conflict Structure Recognition and Bias Impact in Japanese LLMs 5

Assessment of Conflict Structure Recognition and Bias Impact...

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5th Technology Innovation Management and Engineering Science International conference, TIMES-iCON 2024

作者： Inoshita, Keito Faculty of Data Science Shiga University Hikone Japan

ISBN: (纸本)9798350362602

—In recent years, with the evolution and proliferation of large language models (LLMs), their application in various fields, including security, has been expanding. LLMs, which learn from vast amounts of text data and possess the capability to process diverse information, may incorporate biases during the learning process. this necessitates cautious consideration when using LLMs in the realm of security. this study examines the perceptions and biases that Japanese LLMs hold towards global conflict structures, including the warring nations of Ukraine and Russia. We conducted experiments based on a novel method and evaluation metric utilizing sentiment analysis on tweet data. the results revealed that while LLMs have some understanding of conflict structures, they tend to exhibit a positive bias towards specific countries in relationships where the conflict structure is unclear. Furthermore, continual pre-training with Japanese text data showed a tendency to intensify certain biases. these findings highlight the risks associated with using LLMs in the security sector and propose the creation of bias-aware datasets and suggestions for enhancing robustness to ensure fairness towards nations. ©2024 IEEE.

关键词： Modeling languages

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Advancing Healthcare in Cordoba :Telemedicine as a Service (PGaaS) and Addressing OWASP Machine Learning security Challenges 50

Advancing Healthcare in Cordoba :Telemedicine as a Service (...

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50th Latin American Computing conference (CLEI)

作者： Julio, Yair Rivera Mangones, Angel Pinto Tovio, Juan Torres Hernandez, Frank Ibarra Aguilar, Jose Gomez, Sirley Kerguelen Inst Univ Amer Dept Ingn Sistemas Barranquilla Colombia Univ Sinu Dept Ingn Sistemas Monteria Colombia Univ Sinu Dept Ingn Elect Monteria Colombia IMDEA Networks Inst Madrid Spain Univ Los Andes CEMISID Merida Venezuela Corp Unificada Nacl Dept Ingn Sistemas Monteria Colombia

ISBN: (纸本)9798331540982;9798331540975

this study proposes a framework that leverages ML algorithms for the cybersecurity of telemedicine systems in the Department of Cordoba, Colombia, addressing challenges amplified by the COVID-19 pandemic. the framework emphasizes enhancing the processing capabilities and reliability in managing clinical information, particularly focusing on the RES. It integrates a PGaaS aligned with the OWASP guidelines, aiming to neutralize emerging threats using advanced IA models. the system incorporates data encryption, 2FA-based Access Control, continuous backups, code obfuscation, and watermarking, all supported by a suitable legal framework. these components are combined into a comprehensive monitoring and auditing scheme to ensure robust protection against intelligent intrusions and the compromise of medical data.

关键词： Machine Learning (ML) COVID-19 Clinical Information Processing Special Health Services Registry (RES) privacy-as-a-Service Platform (PGaaS) Open Web application security Project (OWASP) Artificial Intelligence (IA) data Encryption Two-Factor Authentication (2FA)

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