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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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A Fine-Grained Telemetry Stream for security Services in 5G Open Radio Access Networks 1

A Fine-Grained Telemetry Stream for Security Services in 5G ...

引用

1st acm International Workshop on Emerging Topics in Wireless (Emerging Wireless) Part of 18th International conference on Emerging Networking Experiments and Technologies (CoNEXT)

作者： Wen, Haohuang Porras, Phillip Yegneswaran, Vinod Lin, Zhiqiang Ohio State Univ Columbus OH 43210 USA SRI Int Menlo Pk CA USA

ISBN: (纸本)9781450399340

the Open Radio Access Network (O-RAN) is an emerging paradigm for developing the next-generation radio access network (RAN) for 5G and beyond. Inspired by the principles from software-defined networks (SDNs), the key innovation of O-RAN is the disaggregation of control logic from the network data plane, by using a centralized RAN intelligent controller (RIC), with customized xApps and service models. the O-RAN's novel design transforms the traditional monolithic network infrastructure into an open, programmable, and interoperable RAN. these distinctive features make O-RAN ideal for deploying extensible security services against a wide range of prevalent threat vectors (e.g., malicious transmitters that spoof, interfere, or flood communications between mobile devices and the 5G RAN), which can compromise the security, privacy, and availability of mobile devices and the network itself, at very low cost. Unfortunately, we find that the existing exemplar xApp models of O-RAN and the underlying telemetry streams that drive these applications are insufficient for developing robust security countermeasures. In this paper, we propose MobiFlow, a fine-grained telemetry stream tailored for security analysis on O-RAN. We envision MobiFlow as an enabling building block upon which novel 5G services can be implemented, offering device and RAN-specific run-time security monitoring, intelligent RAN control, and security-focused AI/ML assisted applications.

关键词： 5G Open Radio Access Network Cellular Network security

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IIoT-ARAS: IIoT/ICS Automated Risk Assessment System for Prediction and Prevention 21

IIoT-ARAS: IIoT/ICS Automated Risk Assessment System for Pre...

引用

11th acm conference on data and application security and privacy (CODASPY)

作者： Zahran, Bassam Hussaini, Adamu Ali-Gombe, Aisha Towson Univ Towson MD 21252 USA

ISBN: (纸本)9781450381437

As IT/OT convergence continues to evolve, the traditionally isolated ICS/OT systems are increasingly exposed to a myriad of online and offline threats. Although IIoT enhances the reachability in ICS, improved data analytics, ensuring ease of access and decision making, it unwittingly opens the ICS environment to attackers. the design of IIoT introduces multiple entry points to an isolated system, which is used to protect itself via air-gapping and risk avoidance strategies. this study explores a comprehensive mapping of threats and risks for IT/OT convergence. Additionally, we propose IIoT-ARAS - an automated risk assessment system based on OCTAVE Allegro and ISO/IEC 27030 methodologies. the design of IIoT-ARAS is aimed to be agentless, with minimum interruptions to the OT environment. Furthermore, the system performs automated regular asset inventory checks, threshold optimization, probability computation, risk evaluations, and contingency plan configuration.

关键词： Cybersecurity security IIoT ICS IT/OT Convergence

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API-Based Personal Healthcare application: Securing data and Ensuring Patient privacy

API-Based Personal Healthcare Application: Securing Data and...

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Information Engineering (ACIE), IEEE Asia conference on

作者： Watcharachai Kongsiriwattana Ratabhoom Boongate thanaphas Laohasinnuruk Areej Meny Rudsada Kaewsaeng-On Khanista Namee Faculty of Industrial Technology and Management King Mongkut's University of Technology North Bangkok Bangkok Thailand King Saud bin Abdulaziz University for Health Sciences Jeddah Saudi Arabia Prince of Songkla University Songkla Thailand

ISBN: (数字)9798331528409

ISBN: (纸本)9798331528416

this paper presents the development of a secure mobile healthcare application designed to provide patients with real-time access to their medical records using advanced API technology. the system ensures data privacy and security by implementing AES-256 encryption and TLS 1.3 for both data transmission and storage. the application also integrates OAuth 2.0 for secure authentication, complying with global healthcare regulations such as HIPAA and GDPR. To enhance scalability and fault tolerance, the system leverages serverless architecture and cloud storage solutions like Google Firebase and AWS, enabling seamless operation under varying user loads. Performance testing demonstrated the application's robustness, as it maintained an average response time of 1.22 seconds and a 99.1% success rate for API calls, even with up to 5,000 concurrent users, ensuring uninterrupted service and reliability in high-demand healthcare environments.

关键词： data privacy Cloud computing Scalability Fault tolerant systems Medical services Real-time systems Regulation Encryption Time factors Testing

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MLHat: Deployable Machine Learning for security Defense 21

MLHat: Deployable Machine Learning for Security Defense

引用

27th acm SIGKDD International conference on Knowledge Discovery and data Mining (KDD)

作者： Wang, Gang Ciptadi, Arridhana Ahmadzadeh, Ali UIUC Champaign IL 61820 USA TruEra Redmond WA USA Blue Hexagon San Francisco CA USA

ISBN: (纸本)9781450383325

the MLHat workshop aims to bring together academic researchers and industry practitioners to discuss the open challenges, potential solutions, and best practices to deploy machine learning at scale for security defense. the workshop will discuss related topics from both defender perspectives (white-hat) and the attacker perspectives ( black-hat). We call the workshop MLHats, to serve as a place for people who are interested in using machine learning to solve practical security problems. the workshop will focus on defining new machine learning paradigms under various security application contexts and identifying exciting new future research directions. At the same time, the workshop will also have a strong industry presence to provide insights into the challenges in deploying and maintaining machine learning models and the much-needed discussion on the capabilities that the state-of-the-arts failed to provide.

关键词： security and privacy Deployable Machine Learning Adversarial Machine Learning

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Research and Implementation of Operation Monitoring and Resource Scheduling Methods Based on the Digital Twin Model of the Power Grid 5

Research and Implementation of Operation Monitoring and Reso...

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5th International conference on Applied Machine Learning, ICAML 2023

作者： Qiao, Junfeng Yu, Hai He, Zhimin Shen, Lianteng Du, Xiaodong State Grid Smart Grid Research Institute Co. Ltd State Grid Laboratory of Power Cyber-Security Protection & Monitoring Technology Nanjing China China Electric Power Research Institute Co. Ltd Beijing China State Grid Hebei Electric Power Co. Ltd Shijiazhuang China

ISBN: (纸本)9798350341416

the digital twin model of the power grid has been widely applied in fields such as power equipment status acquisition and power equipment fault analysis. the use of digital twin models to virtual equipment status parameters provides strong model support for the acquisition and display of power equipment status. the digital twin model describes the physical entity in the power grid as digital indicators, and superimposes effective business analysis logic, making it widely provide digital services for data using departments. Similarly, the virtualization and visualization of device status parameters can also provide technical support for monitoring power operation status and scheduling power resources. this article proposes an operation monitoring and resource scheduling method based on the digital twin model of the power grid, which abstracts the status data of power grid equipment into key indicators of the digital twin model. then, high-performance data collection and transmission technology is used to push the status data of power grid equipment and power grid operation status information to the power management department in a way that is easy to observe and edit. By adopting this approach, power managers do not need to conduct on-site surveys to monitor the operating status of electricity, and then develop resource scheduling plans to schedule electricity resources and achieve secondary distribution, providing better power supply services for electricity customers. © 2023 IEEE.

关键词： data acquisition

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Algebraic Replicated data Types: Programming Secure Local-First Software 37

Algebraic Replicated Data Types: Programming Secure Local-Fi...

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37th European conference on Object-Oriented Programming, ECOOP 2023

作者： Kuessner, Christian Mogk, Ragnar Wickert, Anna-Katharina Mezini, Mira Technische Universität Darmstadt Germany hessian.AI Darmstadt Germany

ISBN: (纸本)9783959772815

this paper is about programming support for local-first applications that manage private data locally, but still synchronize data between multiple devices. Typical use cases are synchronizing settings and data, and collaboration between multiple users. Such applications must preserve the privacy and integrity of the user’s data without impeding or interrupting the user’s normal workflow – even when the device is offline or has a flaky network connection. From the programming perspective, availability along with privacy and security concerns pose significant challenges, for which developers have to learn and use specialized solutions such as conflict-free replicated data types (CRDTs) or APIs for centralized data stores. this work relieves developers from this complexity by enabling the direct and automatic use of algebraic data types – which developers already use to express the business logic of the application – for synchronization and collaboration. Moreover, we use this approach to provide end-to-end encryption and authentication between multiple replicas (using a shared secret), that is suitable for a coordination-free setting. Overall, our approach combines all the following advantages: it (1) allows developers to design custom data types, (2) provides data privacy and integrity when using untrusted intermediaries, (3) is coordination free, (4) guarantees eventual consistency by construction (i.e., independent of developer errors), (5) does not cause indefinite growth of metadata, (6) has sufficiently efficient implementations for the local-first setting. © Christian Kuessner, Ragnar Mogk, Anna-Katharina Wickert, and Mira Mezini

关键词： data privacy

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5th International conference on Frontiers in Cyber security, FCS 2022

5th International Conference on Frontiers in Cyber Security,...

引用

5th International conference on Frontiers in Cyber security, FCS 2022

ISBN: (纸本)9789811984440

the proceedings contain 26 papers. the special focus in this conference is on Frontiers in Cyber security. the topics include: threat Landscape Across Multiple Cloud Service Providers Using Honeypots as an Attack Source;AP-HBSG: Authentication Protocol for Heterogeneous Blockchain-Based Smart Grid Environment;blockchain-Based Patient-to-Patient Health data Sharing;Efficient and Automatic Pseudonym Management Scheme for VANET with Blockchain;ethereum Contract Honeypot Risk Analysis;a Gas Cost Analytical Approach Based on Certificateless Key Encapsulation Protocol for Medicalized Blockchains;a Universal Lightweight privacy-Preserving Multifunctional data Handling Scheme;New Trapdoor and Preimage Sampling on NTRU Lattice;Secure EHR Sharing Scheme Based on Limited Sanitizable Signature;a Federated Learning Based privacy-Preserving data Sharing Scheme for Internet of Vehicles;a Rotating Multi-secret Color Visual Cryptography Scheme Based on Meaningful Shares;updatable ElGamal Encryption Scheme with Forward and Backward security for Cloud Storage;A Comparative Analysis of security Features and Concerns in NoSQL databases;improving Online Restore Performance of Backup Storage via Historical File Access Pattern;securely and Efficiently Nearest Neighbor Query Scheme Based on Additive Secret Sharing;quantum Information Splitting Scheme of Arbitrary three-Qubit State by Using a Four-Qubit Cluster State and a Bell State;a Manipulated Overlapped Voltage Attack Detection Mechanism for Voltage-Based Vehicle Intrusion Detection System;LightGBM-RF: A Hybrid Model for Anomaly Detection in Smart Building;enabling Hidden Frequency Keyword-Based Auditing on Distributed Architectures for a Smart Government;a Lightweight Certificateless Searchable Public Key Encryption Scheme for Medical Internet of things;cross-site Scripting threat Intelligence Detection Based on Deep Learning;power Analysis Attack Based on Lightweight Convolutional Neural Network;enhancing Port Scans Attack Detection U

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Towards Accurate Labeling of Android Apps for Reliable Malware Detection 21

Towards Accurate Labeling of Android Apps for Reliable Malwa...

引用

11th acm conference on data and application security and privacy (CODASPY)

作者： Salem, Aleieldin Tech Univ Munich Garching Germany

ISBN: (纸本)9781450381437

In training their newly-developed malware detection methods, researchers rely on threshold-based labeling strategies that interpret the scan reports provided by online platforms, such as VirusTotal. the dynamicity of this platform renders those labeling strategies unsustainable over prolonged periods, which leads to inaccurate labels. Using inaccurately labeled apps to train and evaluate malware detection methods significantly undermines the reliability of their results, leading to either dismissing otherwise promising detection approaches or adopting intrinsically inadequate ones. the infeasibility of generating accurate labels via manual analysis and the lack of reliable alternatives force researchers to utilize VirusTotal to label apps. In the paper, we tackle this issue in two manners. Firstly, we reveal the aspects of VirusTotal's dynamicity and how they impact threshold-based labeling strategies and provide actionable insights on how to use these labeling strategies given VirusTotal's dynamicity reliably. Secondly, we motivate the implementation of alternative platforms by (a) identifying VirusTotal limitations that such platforms should avoid, and (b) proposing an architecture of how such platforms can be constructed to mitigate VirusTotal's limitations.

关键词： android security malware detection machine learning virustotal

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Tor Traffic's Representation and Classification Based on Packet Timing Characteristics 5

Tor Traffic's Representation and Classification Based on Pac...

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5th International conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2022

作者： Yin, Haozhan Cao, Jinxuan Jiang, Shouzhi Lu, Tianliang People's Public Security University of China College of Information Network Security Beijing China

ISBN: (数字)9781665484749

ISBN: (纸本)9781665484749

Tor provides users with great anonymity due to its multi-layer proxy operating mechanism, but also provides living space for illegal and criminal activities. It is necessary to further analyze users' behaviors based on the identification of Tor traffic to effectively supervise Tor users' online conduct. We focus on the differences in traffic patterns when users use different applications, and propose a Tor traffic classification method based on the timing distribution characteristics of packets, which treats each packet as an object with several attributes, analyzes its distribution in unit time, and generates visual samples, finally use CNN to identify the application type. Focusing on the transmission stage of application data, this method can effectively avoid the influence of Tor's existing defense mechanism, and the processed samples can intuitively present the traffic features of a specific application that are visible to the naked eye. the experiment al results show that the proposed method can not only provide higher recognition accuracy but also effectively improve the problem of poor recognition ability of previous models for certain application types. © 2022 IEEE.

关键词： Timing circuits

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Secure Pull Printing with QR Codes and National eID Cards: A Software-oriented Design and an Open-source Implementation 21

Secure Pull Printing with QR Codes and National eID Cards: A...

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11th acm conference on data and application security and privacy, CODASPY 2021

作者： Leonelli, Matteo Morelli, Umberto Sciarretta, Giada Ranise, Silvio Fondazione Bruno Kessler Trento Italy Fondazione Bruno Kessler University of Trento Trento Italy

ISBN: (纸本)9781450381437

With more systems becoming digitised, enterprises are adopting cloud technologies and outsourcing non-critical services to reduce the pressure on IT departments. In this process, it is crucial to achieving the right balance between costs, usability and security;prioritising security over the rest when handling sensitive data. Considering the print management, often off-premise, many enterprises report at least one print-related security incident that led to data loss in the past year. this problem can damage the enterprise business, especially considering the fines prescribed by current regulations or its reputation. Focusing on securing enterprise printing, pull printing is the set of technologies and processes that allow the release of print jobs according to specific conditions;typically user authentication and proximity to a printer. We design a software-oriented pull printing infrastructure that supports a print release mechanism using QR codes and electronic IDentity cards as a second-factor authenticator. Our solution addresses the costs, as any medium-size organisation can adopt our open-source solution without additional devices or access badges;and the user experience, as we offer a driverless print environment and a user-friendly mobile application. © 2021 acm.

关键词： Sensitive data

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