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5th International conference on Machine Learning for Networking, MLN 2022

ISBN: (纸本)9783031361821

the proceedings contain 12 papers. the special focus in this conference is on Machine Learning for Networking. the topics include: Phisherman: Phishing Link Scanner;leader-Assisted Client Selection for Federated Learning in IoT via the Cooperation of Nearby Devices;development of an Intent-Based Network Incorporating Machine Learning for Service Assurance of E-Commerce Online Stores;cyber-attack Proactive Defense Using Multivariate Time Series and Machine Learning with Fuzzy Inference-based Decision System;iPerfOPS: A Tool for Machine Learning-Based Optimization through Protocol Selection;GRAPHSEC – Advancing the application of AI/ML to Network security through Graph Neural Networks;Low Complexity Adaptive ML Approaches for End-to-End Latency Prediction;TDMA-Based MAC Protocols Designed or Optimized Using Artificial Intelligence for Safety data Dissemination in Vehicular Ad-Hoc Network: A Survey;a Machine Learning Based Approach to Detect Stealthy Cobalt Strike C &C Activities from Encrypted Network Traffic;unified Emulation-Simulation Training Environment for Autonomous Cyber Agents.

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SDN Enabled QoE and security Framework for Multimedia applications in 5G Networks

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acm TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND applicationS 2021年第2期17卷 1–29页

作者： Krishnan, Prabhakar Jain, Kurunandan Jose, Pramod George Achuthan, Krishnashree Buyya, Rajkumar Amrita Vishwa Vidyapeetham Ctr Cyber Secur Syst & Networks Clappana PO Amritapuri 690525 Kerala India Univ Melbourne Sch Comp & Informat Syst Cloud Comp & Distributed Syst Clouds Doug McDonell BldgParkville Campus Melbourne Parkville Vic 3010 Australia

the technologies for real-time multimedia transmission and immersive 3D gaming applications are rapidly emerging, posing challenges in terms of performance, security, authentication, data privacy, and encoding. the communication channel for these multimedia applications must be secure and reliable from network attack vectors and data-contents must employ strong encryption to preserve privacy and confidentiality. Towards delivering secure multimedia application environment for 5G networks, we propose an SDN/NFV (Software-Defined-Networking/Network-Function-Virtualization) framework called STREK, which attempts to deliver highly adaptable Quality-of-Experience (QoE), security, and Authentication functions for multidomain Cloud to Edge networks. the STREK architecture consists of a holistic SDNFV dataplane, NFV service-chaining and network slicing, a lightweight adaptable hybrid cipher scheme called TREK, and an open RESTful API for applications to deploy custom policies at runtime for multimedia services. For multi-domain/small-cell deployments, the key-generation scheme is dynamic at flow/session-level, and the handover authentication scheme uses a novel method to exchange security credentials with the Access Points (APs) of neighborhood cells. this scheme is designed to improve authentication function during handover with low overhead, delivering the 5G ultra-low latency requirements. We present the experiments with both software and hardware-based implementations and compare our solution with popular lightweight cryptographic solutions, standard open source software, and SDN-based research proposals for 5G multimedia. In the microbenchmarks, STREK achieves smaller hardware, low overhead, low computation, higher attack resistance, and offers better network performance for multimedia streaming applications. In real-time multimedia use-cases, STREK shows greater level of quality distortion for multimedia contents with minimal encryption bitrate overhead to deliver dat

关键词： SDN NFV 5th Generation network (5G) Multi-Access Edge Computing (MEC) lightweight cryptography QoE network slicing multimedia communication network security

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WAPI Network for Novel Intelligent Services of Substations in Smart Grid. application Analysis and Overview 5

WAPI Network for Novel Intelligent Services of Substations i...

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5th IEEE International Electrical and Energy conference, CIEEC 2022

作者： Wang, Li Chen, Liming Suo, Siliang Ren, Weizhi Dispatching Center China Southern Power Grid Guangzhou China Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

With the advancement of the construction of smart grids and digital grids, new smart services represented by smart patrols, smart safety monitoring, and mobile office have emerged in substations. these services generally exhibit the characteristics of 'large bandwidth, mobility, and large connections'. Due to the lack of a unified wireless communication access method in the substation, each service terminal communicates with the master station using the communication methods such as WiFi (Wireless Fidelity) and public network 4G provided by the wireless operators or manufacturer, which are insufficient in terms of security, cost, and controllability. this paper proposes the use of wireless LAN (Local Area Network) authentication and privacy infrastructure WAPI (Wireless LAN Authentication and privacy Infrastructure) network to achieve 35kV and above voltage level substation coverage, and spells the details including service requirements and communication access status, communication technology selection, WAPI network construction and deployment. the implementation effect and other aspects of WAPI network application are analyzed and novel prospects for new intelligent services in substations are carried out to provide reference and reference for wireless communication applications in substations. © 2022 IEEE.

关键词： Smart power grids

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PBFT Consensus Mechanism for Human Resource Offboarding Procedures Based on Blockchain Technology 5th

PBFT Consensus Mechanism for Human Resource Offboarding Proc...

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5th International conference on Trends in Computational and Cognitive Engineering, TCCE 2023

作者： Chanda, Priya Singh, Pritpal Chhibber, Priyanka Ghosh, Sukanta Mittal School of Business Lovely Professional University Phagwara India School of Computer Application Lovely Professional University Phagwara India

ISBN: (纸本)9789819719228

Blockchain technology has garnered considerable attention for its potential to transform various industries, including the realm of human resources (HR). this article suggests a novel blockchain-based offboarding framework that employs the Practical Byzantine Fault Tolerance (PBFT) consensus mechanism to elevate HR offboarding procedures. the objective is to streamline and fortify the offboarding process, addressing longstanding challenges such as negative employee experiences, inadequate analytics, scalability issues, audit deficiencies, lack of accountability, knowledge transfer gaps, visibility constraints, and reliance on individual expertise. the proposed framework harnesses the decentralized and immutable characteristics of blockchain to establish a transparent and auditable offboarding system. By leveraging PBFT, a consensus algorithm renowned for its high throughput and fault tolerance, the framework ensures the validity and integrity of HR-related transactions. this consensus mechanism allows network nodes to unanimously agree on the order and legitimacy of offboarding events, instilling trust and thwarting malicious activities. Additionally, the blockchain-based offboarding framework enhances data privacy and security by incorporating cryptographic techniques like digital signatures and encryption. this safeguards sensitive information, including personal and employment-related data, ensuring confidentiality while remaining accessible only to authorized entities. To assess the efficacy of the proposed framework, a proof-of-concept implementation was executed, showcasing its capacity to manage a substantial volume of transactions while upholding consensus among network participants. the outcomes indicate that the PBFT consensus mechanism markedly improves the efficiency and reliability of HR offboarding processes compared to conventional centralized systems. this research underscores the transformative potential of blockchain technology and the PBFT consens

关键词： Blockchain

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Research on the application of Local Differential privacy: A Survey

Research on the Application of Local Differential Privacy: A...

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Big data & Artificial Intelligence & Software Engineering (ICBASE), International conference on

作者： Ying Cao Hua Shen School of Computer Science Hubei University of Technology Wuhan Hubei China

ISBN: (数字)9798331506612

ISBN: (纸本)9798331506629

In this age of information explosion, people are fully aware of the great value of data and pay more and more attention to protecting personal privacy. therefore, fully exploring the value of data without revealing user privacy is an urgent problem that needs to be solved in big data. the differential privacy protection technology proposed in 2006 is widely used in the security processing of massive data because of its strict mathematical definition. However, differential privacy technology is a privacy-protecting mechanism based on trusted third parties. Local differential privacy technology was proposed in 2008 to reduce the independence of trusted third parties. Since its introduction, local differential privacy technology has been widely used to solve privacy protection problems in various big data applications. In order to flexibly use local differential privacy technology to deal with the privacy protection problems in various new applications, this article elaborates in detail the existing research work of local differential privacy technology in the fields of data release, data mining, and machine learning, and summarizes the local the application framework of differential privacy in these fields and their respective advantages and disadvantages finally address the research challenges that local differential privacy technology still faces.

关键词： Surveys Differential privacy Machine learning Information age Big data applications Explosions security Protection Faces Software engineering

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Research on Tax data Sharing and privacy Protection Mechanism Based on Blockchain Technology

Research on Tax Data Sharing and Privacy Protection Mechanis...

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Power Electronics, Computer applications (ICPECA), IEEE International conference on

作者： Zhaochen Wang Dalian University of Finance and Economics Dalian China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

In the context of digital reform., tax data sharing and privacy protection have gradually become important issues. With the distributed architecture., tamper proof data., and high transparency of blockchain technology., it demonstrates unique advantages in resolving the contradiction between tax data sharing and personal privacy protection. this article aims to deeply analyze the potential application of blockchain in the field of tax data sharing., evaluate the potential risks of privacy leakage in the current tax data sharing process., explore the conflict between privacy protection measures and data sharing needs., and propose a blockchain based tax data sharing and privacy protection scheme. this plan mainly involves using blockchain technology to ensure the privacy and security of the sharing process., designing efficient smart contracts., establishing a trustworthy mechanism with multi-party participation., and improving the data auditing system., thereby promoting the standardization of tax information processing and privacy protection system. Research has shown that blockchain technology can effectively enhance the transparency and reliability of tax information., while maintaining privacy and security., and promoting efficient information sharing.

关键词： data privacy Technological innovation privacy Smart contracts Finance Standardization Power electronics Blockchains Reliability Protection

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the Cost of OSCORE and EDHOC for Constrained Devices 21

The Cost of OSCORE and EDHOC for Constrained Devices

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

作者： Hristozov, Stefan Huber, Manuel Xu, Lei Fietz, Jaro Liess, Marco Sigl, Georg Fraunhofer AISEC Garching Germany Microsoft Vancouver BC Canada Tech Univ Munich Munich Germany

ISBN: (纸本)9781450381437

Many modern IoT applications rely on the Constrained application Protocol (CoAP). Recently, the Internet Engineering Task Force (IETF) proposed two novel protocols for securing it. these are: 1) Object security for Constrained RESTful Environments (OSCORE) providing authenticated encryption for the CoAP's payload data and 2) Ephemeral Diffie-Hellman Over COSE (EDHOC) providing the symmetric session keys required for OSCORE. In this paper, we present the design of four firmware libraries for these protocols which are especially targeted for constrained microcontrollers and their detailed evaluation. More precisely, we present the design of mu OSCORE and mu EDHOC libraries for regular microcontrollers and mu OSCORE-TEE and mu EDHOC-TEE libraries for microcontrollers with a Trusted Execution Environment (TEE), such as microcontrollers featuring ARM TrustZone-M. Our firmware design for the latter class of devices concerns the fact that attackers may exploit common software vulnerabilities, e.g., buffer overflows in the protocol logic, OS or application to compromise the protocol security. We present an evaluation of our implementations in terms of RAM/FLASH requirements and execution speed on a broad range of microcontrollers. Our implementations are available as open-source software.

关键词： IoT CoAP security IETF OSCORE EDHOC

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Research on University Sports Information Management System Based on Big data and Cloud Computing 5

Research on University Sports Information Management System ...

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5th International conference on Computers, Information Processing and Advanced Education, CIPAE 2024

作者： Lei, Ming Wang, Yong YiBin Vocational and Technical College Sichuan Yibin China

ISBN: (纸本)9798331527662

this paper proposes a sports information management system based on Hadoop platform, which integrates convolutional neural network (CNN) technology to achieve efficient data management and intelligent decision support. through this architecture system can effectively process and analyze the massive data from university sports activities, so as to improve the efficiency and accuracy of data processing. Secondly, Convolutional Neural Network (CNN) technology is introduced to realize face recognition function. the application of this technology not only enhances the security of the system, but also improves the speed and accuracy of athlete identity verification. the automatic feature extraction capability of CNN enables the system to quickly identify key information in complex image data, which provides a strong technical support for the intelligence of sports management. In addition, the system provides rich data API interfaces, which can seamlessly connect various sports resources in colleges and universities, and realize data sharing and exchange. By building a unified sports big data environment, the system promotes the optimal allocation and efficient use of resources, and provides comprehensive data support for sports teaching, training and competition. this system builds a powerful sports information management platform by integrating Hadoop platform and CNN technology. this not only improves the ability of data processing and storage, but also greatly promotes the modernization process of college sports management through intelligent decision support. © 2024 IEEE.

关键词： Convolutional neural networks

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Exploring Human Intention Recognition Based on Human Robot Collaboration Manufacturing toward Safety Production 5

Exploring Human Intention Recognition Based on Human Robot C...

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5th International conference on Artificial Intelligence and Computer Science, AICS 2023

作者： Wang, Bo Xiao, Jinhua School of Transportation and Logistics Engineering Wuhan University of Technology No.1178 Heping Street Wuhan430063 China

ISBN: (纸本)9781510668621

With the widespread application of collaborative robots in automated production, it is necessary to improve human safety that has become a noteworthy issue in human-robot collaboration (HRC) manufacturing process. this paper proposes a human-robot collaborative security system based on human intention recognition. Firstly, this system collects collaborative environment information through a camera and inputs the collected information into a data-driven platform. Secondly, action recognition algorithms and facial feature recognition algorithms for human detections are used to identify the angles of human actions and faces in the collaborative environment. then, human intentions are identified by combining facial angle and action recognition results, which can obtain intention information into the control system. Finally, the security system conducts the robot to respond accordingly based on the obtained intention recognition results, which can improve the safety of human-robot collaboration and ensure high efficiency under safety production. © 2023 SPIE.

关键词： security systems

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CODASPY 2017 - proceedings of the 7th acm conference on data and application security and privacy

CODASPY 2017 - Proceedings of the 7th ACM Conference on Data...

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7th acm conference on data and application security and privacy, CODASPY 2017

ISBN: (纸本)9781450345231

the proceedings contain 41 papers. the topics discussed include: Ghostbuster: a fine-grained approach for anomaly detection in file system accesses;mining attributed graphs for threat intelligence;statistical security incident forensics against data falsification in smart grid advanced metering infrastructure;canonical completeness in lattice-based languages for attribute-based access control;SAMPAC: socially-aware collaborative multi-party access control;achieving differential privacy in secure multiparty data aggregation protocols on star networks;sound and static analysis of session fixation vulnerabilities in PHP web applications;a new bloom filter structure for searchable encryption schemes;seamless and secure Bluetooth LE connection migration;differentially-private big data analytics for high-speed research network traffic measurement;comprehensive method for detecting phishing emails using correlation-based analysis and user participation;PT-CFI: transparent backward-edge control flow violation detection using Intel processor trace;fault attacks on encrypted general purpose compute platforms;analysis of exception-based control transfers;detecting ROP with statistical learning of program characteristics;and large-scale identification of malicious singleton files.

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