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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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ARES 2023 - 18th International conference on Availability, Reliability and security, proceedings

ARES 2023 - 18th International Conference on Availability, R...

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18th International conference on Availability, Reliability and security, ARES 2023

ISBN: (纸本)9798400707728

the proceedings contain 155 papers. the topics discussed include: an android application patching pipeline based on generic changesets;Nakula: coercion resistant data storage against time-limited adversary;automated side-channel attacks using black-box neural architecture search;canary in twitter mine: collecting phishing reports from experts and non-experts;actions speak louder than passwords: dynamic identity for machine-to-machine communication;mitigating intersection attacks in anonymous microblogging;a hybrid anonymization pipeline to improve the privacy-utility balance in sensitive datasets for ML purposes;adoption of information security practices in large-scale agile software development: a case study in the finance industry;universal remote attestation for cloud and edge platforms;rogue key and impersonation attacks on FIDO2: from theory to practice;real-time defensive strategy selection via deep reinforcement learning;and characterizing the MasterPrint threat on android devices with capacitive sensors.

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application of Time Series Analysis in Predicting Industrial data security Events 5

Application of Time Series Analysis in Predicting Industrial...

引用

5th International conference on Industrial IoT, Big data and Supply Chain, IIoTBDSC 2024

作者： Liu, Caiyun Sun, Yan Liu, Yitong National Industrial Information Security Development Research Center Beijing100040 China

ISBN: (纸本)9798331539818

In today's industrial operations, the widespread application of digital technology has made industrial data security an increasingly important focus. Industrial data encompasses vital information in key areas such as production, manufacturing, and supply chains, making its security crucial for the stability of the entire operational system. However, with the rapid growth of industrial data, traditional security measures have proven to be inadequate. therefore, this paper discusses how to use time series analysis to predict industrial data security incidents, thereby safeguarding the security of industrial data. Time series analysis, as an effective tool, can help identify patterns and trends in historical data, which can be utilized to forecast potential security incidents. this paper will demonstrate the effectiveness of time series analysis in the field of industrial data security and propose a security event prediction method based on historical data patterns. through this research, we aim to provide more theoretical support and practical guidance for the field of industrial data security. this paper establishes a multi-scale temporal convolutional neural network for predicting industrial data security events. Firstly, in the temporal convolutional network, multi-scale modules are embedded, and two different-structured deep learning blocks are constructed. By changing the dilation factor in the dilated convolution, multi-scale modules are embedded to learn feature information at different scales and to integrate them, thereby achieving feature learning and prediction of industrial data security events at different scales. Secondly, residual connections are introduced to prevent overfitting and underfitting phenomena. © 2024 IEEE.

关键词： Supply chains

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application of BeiDou-3 data transmission technology on the buoy light at sea 5

Application of BeiDou-3 data transmission technology on the ...

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5th International conference on Computer Communication and Network security, CCNS 2024

作者： Li, Jianyong Zhu, Chuanying Tianjin AtoN division The Navigation Guarantee Center of North China Sea Tianjin300456 China

ISBN: (纸本)9781510681842

Aids remote monitoring system is an important way to aids maintenance, which plays an important role of improving the maintenance quality of the aids. the communication effect would affect the management level of aids remote monitoring system. However the application of IOT communication and the BeiDou-2 Short Message technology broaden the scope of Aids remote monitoring on the sea, the image of environmental information of the damaged buoy nearby could not be transmitted back to the Aids remote monitoring system. the application of Beidou-3 data transmission technology on the light of the buoy could transmit the images and the voice data to the system which would form pressure to the people who damage the buoys on the sea psychologically. At the same time this application on the buoy light would get image or voice of the environment information concerned which would provide more information to the maritime accidents investigation and marine environment monitoring. © 2024 SPIE.

关键词： Light transmission

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SmartFusion2 SoC as a security Module for the IoT world 22

SmartFusion2 SoC as a Security Module for the IoT world

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19th acm International conference on Computing Frontiers (CF)

作者： Rodrigues, Alexandre Resende, Joao Carlos Chaves, Ricardo Univ Lisbon INESC ID IST Lisbon Portugal

ISBN: (纸本)9781450393386

Dedicated computational devices such as HSMs and FPGAs are frequently used to provide data security and privacy. However, these options have several drawbacks, particularly when considering IoT environments. HSMs offer high-grade services but are costly and lack application flexibility, while FPGAs, in general, are cheaper and adaptable, but lack security services and protection. Herein, the SmartFusion2 SoC FPGA, a security-oriented system, is evaluated as a possible low-cost and flexible platform for security modules for the IoT. this work analyzes the several security services of the SmartFusion2 SoC, their advantages, and possible trade-offs. To demonstrate the SoC viability as a security module and/or a more adaptable HSM alternative, several case study applications are considered and analyzed to elaborate on the potential, limitations, and mitigations of the latter.

关键词： SmartFusion2 SoC security module Low cost Flexible

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Research and application of Cybersecurity Situation Awareness for Smart Grid Power Control System 5

Research and Application of Cybersecurity Situation Awarenes...

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5th IEEE International conference on Civil Aviation Safety and Information Technology, ICCASIT 2023

作者： Zhang, Liang Qu, Gang Ge, Minhui Jin, Haochun East Branch of State Grid Corporation of China Shanghai China

ISBN: (纸本)9798350310603

Cybersecurity situational awareness technology holds paramount significance within the network environment of power monitoring systems. It serves to promptly detect and address various network threats, thereby safeguarding sensitive information and data against malicious activities. Leveraging innovative technologies such as machine learning, artificial intelligence, and big data, the cybersecurity situational awareness of power monitoring systems can unravel inherent logical relationships among datasets. Presently, the cybersecurity of power monitoring systems confronts an array of risks, exposing certain inadequacies in corresponding defense measures. In response to these challenges, this paper introduces cutting-edge technologies pertaining to the cybersecurity situational awareness platform for power monitoring systems. these encompass a multidimensional security event correlation analysis model, an anomaly detection methodology founded on "baseline learning"for abnormal traffic and behaviors, a model for recognizing attack chains based on attack scenarios, and a power remote control security technology predicated on "address self-verification". We employ data situational awareness, data classification and grading, and data leakage traceability technologies to safeguard the data security of the power control system. Finally, we encapsulate the situational awareness solution for power monitoring systems and its applications, culminating in a synthesis of prospective research for the future. © 2023 IEEE.

关键词： Cybersecurity

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Measuring the Deployment of 5G security Enhancement 22

Measuring the Deployment of 5G Security Enhancement

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15th acm conference on security and privacy in Wireless and Mobile Networks (acm WiSec)

作者： Nie, Shiyue Zhang, Yiming Wan, Tao Duan, Haixin Li, Song Tsinghua Univ Beijing Peoples R China CableLabs Louisville KY USA Carleton Univ Ottawa ON Canada QI ANXIN Technol Res Inst Beijing Peoples R China

ISBN: (纸本)9781450392167

the fifth-generation(5G) cellular network is entering an era of rapid development. Not only is 5G supposed to be fast, it also offers enhanced security based on 5G security specifications developed by the 3rd Generation Partnership Project (3GPP). However, little is known about 5G security in real world deployment. this paper analyzes 5G security features and measures their implementation in commercial 5G networks. By collecting and analyzing signaling messages between a cell phone and several commercial 5G networks, we measured multiple aspects of 5G security in real world deployment including, crypto algorithms used in the control plane, user plane (UP) security activation, subscriber identifier protection, and initial None-Access Stratum(NAS) message protection. We evaluated the compliance of commercial 5G networks with 5G security specifications. the results show that major discrepancy exists between 5G security standards and real world deployment, especially in the areas of UP protection and subscriber identifier protection. therefore, well-known security risks, such as user data leakage, location exposure and Denial-of-Service(DoS) attacks, still apply to 5G commercial networks.

关键词： 5G security enhancement measurement subscriber privacy

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5th International Workshop on Emerging Technologies for Authorization and Authentication, ETAA 2022, co-located with the 27th European Symposium on Research in Computer security, ESORICS 2022

5th International Workshop on Emerging Technologies for Auth...

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5th International Workshop on Emerging Technologies for Authorization and Authentication, ETAA 2022, co-located with the 27th European Symposium on Research in Computer security, ESORICS 2022

ISBN: (纸本)9783031254666

the proceedings contain 9 papers. the special focus in this conference is on Emerging Technologies for Authorization and Authentication. the topics include: User Authentication on Headset-Like Devices by Bioacoustic Signals;the Measurable Environment as Nonintrusive Authentication Factor on the Example of WiFi Beacon Frames;Protecting FIDO Extensions Against Man-in-the-Middle Attacks;authentication, Authorization, and Selective Disclosure for IoT data Sharing Using Verifiable Credentials and Zero-Knowledge Proofs;privacy-Preserving Speaker Verification and Speech Recognition;an E-Voting System Based on Tornado Cash;linking Contexts from Distinct data Sources in Zero Trust Federation.

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security and privacy Challenges in Big data 5

Security and Privacy Challenges in Big Data

引用

5th National conference of Saudi Computers Colleges, NCCC 2022

作者： Alarjani, Samiha Ahmed, Shakeel King Faisal University Computer Science Department Ccsit Alhassa Saudi Arabia

ISBN: (纸本)9798350333688

In recent years, there has been a growing interest in the field of Big data thanks to its benefits, such as cost optimization, improved efficiency, and potential risks identification. Big data has become a widely exploited research area in academia and industry as it benefits both organizations and consumers. However, like any new technology, there are still several challenges relevant to this field and most notably data security. the security challenges of individual's sensitive information associated with Big data have been widely studied in the literature. In addition, current studies of Big data mainly focus on how to minimize the privacy risk brought by Big data operations;however, unwanted disclosure of the user's sensitive information may also happen in the process of data collection and analysis. In this paper, we provide a comprehensive study of the security and privacy issues related to Big data from a wider perspective and investigate various mechanisms that can be used to protect sensitive information and thus, achieve better data security. © 2022 IEEE.

关键词： Risk assessment

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Logic Locking over TFHE for Securing User data and Algorithms 24

Logic Locking over TFHE for Securing User Data and Algorithm...

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29th Asia and South Pacific Design Automation conference (ASP-DAC)

作者： Suemitsu, Kohei Matsuoka, Kotaro Sato, Takashi Hashimoto, Masanori Kyoto Univ Dept Commun & Comp Engn Kyoto Japan

ISBN: (纸本)9798350393545

this paper proposes the application of logic locking over TFHE to protect both user data and algorithms, such as input user data and models in machine learning inference applications. With the proposed secure computation protocol, algorithm evaluation can be performed distributively on honest-but-curious user computers while keeping the algorithm secure. To achieve this, we combine conventional logic locking for untrusted foundries with TFHE to enable secure computation. By encrypting the logic locking key using TFHE, the key is secured with the degree of TFHE. We implemented the proposed secure protocols for combinational logic neural networks and decision trees using LUT-based obfuscation. Regarding the security analysis, we subjected them to the SAT attack and evaluated their resistance based on the execution time. We successfully configured the proposed secure protocol to be resistant to the SAT attack in all machine learning benchmarks. Also, the experimental result shows that the proposed secure computation involved almost no TFHE runtime overhead in a test case with thousands of gates.

关键词： Machine learning

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Optimization of a big data-driven public security policy and regulation Q&A system 5

Optimization of a big data-driven public security policy and...

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5th International conference on Industrial IoT, Big data and Supply Chain, IIoTBDSC 2024

作者： Li, Kejun Shen, Yifei Jia, Nan School of Information Network Security People's Public Security University of China Beijing China

ISBN: (纸本)9798331539818

With the rapid development of artificial intelligence technology, intelligent question answering systems have shown great potential in various fields. the public security question and answer system is an important application for providing information query and services to public security officers and the general public. However, existing systems often suffer from issues such as low accuracy, slow knowledge updates, and insufficient intelligence. In response to these issues, this article constructs a police policy and regulation Q&A system based on big data-driven and professional knowledge base. the system integrates retrieval enhanced generation technology and LoRA fine-tuning technology, effectively improving the accuracy and compliance of question answering, optimizing user experience, enhancing model efficiency and adaptability, and enhancing knowledge updating capabilities. the experimental results show that the system significantly improves the performance of police Q&A work, provides strong technical support for public security work, and promotes the intelligent and scientific development of public security work. © 2024 IEEE.

关键词： data accuracy

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