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检索条件"任意字段=Proceedings of the 2nd ACM Conference on Computer and Communications Security"

共 6827 条记录，以下是41-50 订阅

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Design of Lora Communication System Based on Speech Recognition in Emergency Rescue Environment 2

Design of Lora Communication System Based on Speech Recognit...

引用

2nd International conference on Signal Processing, computer Networks and communications, SPCNC 2023

作者： Jia, Li Chengdu University of Information Technology School of Network and Space Security CD China

ISBN: (纸本)9798400716430

In order to provide a more timely communication environment and achieve long-distance, low-cost voice information transmission in emergency rescue tasks after disasters, this article describes an intelligent voice processing system for narrowband environments. It uses Lora spread spectrum technology as the communication protocol and speech recognition technology as the compression method, supporting outdoor rescue workers to communicate and use it on time even in environments without public networks, Can be deployed in disaster relief missions to provide emergency communication. © 2023 acm.

关键词： Speech recognition

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Enhancing Real-time Facial Sentiment Recognition Systems through Deep Learning Architectures 2

Enhancing Real-time Facial Sentiment Recognition Systems thr...

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2nd International conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024

作者： Geetha Rani, K. Selvaraj, Rajkumar Swaminathan, Aravind Surendran, R. Department of Computer Science and Engineering Bangalore560069 India Dubai United Arab Emirates Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350368413

Facial Emotion Recognition (FER) has emerged as a pivotal domain within computer vision, with applications spanning diverse fields such as human-computer interaction, mental health monitoring, and security systems. While significant strides have been made in recent years, accurate recognition of nuanced emotions, particularly fear, remains a challenging task. This research contributes to the advancement of FER technology, paving the way for more sophisticated and empathetic human-computer interactions. By discussing about the reliable and efficient methods for real-time fear detection, this study enables the potential to revolutionize various applications, including mental health monitoring, security surveillance, and autonomous vehicles. © 2024 IEEE.

关键词： Electronic health record

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Secure Data-Binding in FPGA-based Hardware Architectures utilizing PUFs 19

Secure Data-Binding in FPGA-based Hardware Architectures uti...

引用

19th acm Asia conference on computer and communications security (acm AsiaCCS)

作者： Frank, Florian Schmid, Martin Klement, Felix Palani, Purushothaman Weber, Andreas Kavun, Elif Bilge Xiong, Wenjie Arul, Tolga Katzenbeisser, Stefan Univ Passau Passau Germany Virginia Tech Blacksburg VA USA

ISBN: (纸本)9798400704826

In this work, a novel FPGA-based data-binding architecture incorporating PUFs and a user-specific encryption key to protect the confidentiality of data on external non-volatile memories is presented. By utilizing an intrinsic PUF derived from the same memory, the confidential data is additionally bound to the device. This feature proves valuable in cases where software is restricted to be executed exclusively on specific hardware or privacy-critical data is not allowed to be decrypted elsewhere. To improve the resistance against hardware attacks, a novel method to randomly select memory cells utilized for PUF measurements is presented. The FPGA-based design presented in this work allows for low latency as well as small area utilization, offers high adaptability to diverse hardware and software platforms, and is accessible from bare-metal programs to full Linux kernels. Moreover, a detailed performance and security evaluation is conducted on five boards. A single read or write operation can be executed in 0.58 mu s when utilizing the lightweight PRINCE cipher on an AMD Zync 7000 MPSoC. Furthermore, the entire architecture occupies only about 10% of the FPGA's available space on a resource-constrained AMD PYNQ-Z2. Ultimately, the implementation is demonstrated by storing confidential user data on new generations of network base stations equipped with FPGAs.

关键词： Hardware security FPGAs Physical Unclonable Functions Privacy Broadband Cellular Networks

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Nomadic: Normalising Maliciously-Secure Distance with Cosine Similarity for Two-Party Biometric Authentication 19

Nomadic: Normalising Maliciously-Secure Distance with Cosine...

引用

19th acm Asia conference on computer and communications security (acm AsiaCCS)

作者： Cheng, Nan Onen, Melek Mitrokotsa, Aikaterini Chouchane, Oubaida Todisco, Massimiliano Ibarrondo, Alberto Univ St Gallen St Gallen Switzerland EURECOM Biot France Copper Co Paris France

ISBN: (纸本)9798400704826

Computing the distance between two non-normalized vectors.. and.., represented by Delta(x,y) and comparing it to a predefined public threshold tau is an essential functionality used in privacy-sensitive applications such as biometric authentication, identification, machine learning algorithms (e.g., linear regression, k-nearest neighbors, etc.), and typo-tolerant password-based authentication. Tackling a widely used distance metric, Nomadic studies the privacypreserving evaluation of cosine similarity in a two-party (2PC) distributed setting. We illustrate this setting in a scenario where a client uses biometrics to authenticate to a service provider, outsourcing the distance calculation to two computing servers. In this setting, we propose two novel 2PC protocols to evaluate the normalising cosine similarity between non-normalised two vectors followed by comparison to a public threshold, one in the semihonest and one in the malicious setting. Our protocols combine additive secret sharing with function secret sharing, saving one communication round by employing a new building block to compute the composition of a function.. yielding a binary result with a subsequent binary gate. Overall, our protocols outperform all prior works, requiring only two communication rounds under a strong threat model that also deals with malicious inputs via normalisation. We evaluate our protocols in the setting of biometric authentication using voice, and the obtained results reveal a notable efficiency improvement compared to existing state-of-the-art works.

关键词： privacy-preserving protocols malicious security function secret sharing cosine similarity

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5G security Issues Challenges and Solutions Against DDoS Attacks:A Survey 2

5G Security Issues Challenges and Solutions Against DDoS Att...

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2nd International conference on Disruptive Technologies, ICDT 2024

作者： Ji, Sharma Kumar Mishra, Abhishek Iftm University Computer Science and Engineering Moradabad India

ISBN: (纸本)9798350371055

The Fifth Generation of communications Networks (5G) is projected to greatly develop wireless cellular networks by delivering quicker speed, higher capacity, and lower latency. It is expected to significantly alter both important industries and national economies. It has acquired wide recognition throughout the world. Despite the data integrity, confidentiality, and avail-ability that 5G service providers provide, security is still a serious problem that requires immediate attention. To help customers, service providers, and researchers better understand the network, this article offers a thorough overview of 5G security problems, typical attacks, security services, and concerns. It also includes a case study. © 2024 IEEE.

关键词： Capacity Cellular network Fifth Generation (5G) Latency security Issues Wire-less Communication

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Research on Situational Awareness of Network security Based on Machine Learning 2

Research on Situational Awareness of Network Security Based ...

引用

2nd International conference on Mechatronics, IoT and Industrial Informatics, ICMIII 2024

作者： Duan, Hui Hubei University School of Computer and Information Engineering Hubei Province Wuhan China

ISBN: (纸本)9798350386639

The existing information security situation awareness technology mostly uses RBF (RBF) radiation basis functions to extract information, which is susceptible to changes in the time domain threshold of attacks, resulting in low accuracy in information security situation identification. Therefore, this project proposes a new information security situational awareness algorithm for big data. The research content includes: extracting information security information elements from information systems, establishing a cognitive model of information security information environment information using machine learning methods, and achieving information security situational awareness. The research results of this project will provide new ideas for network security situational awareness, and provide theoretical basis for improving the overall transmission performance of the network and reducing network security risks. © 2024 IEEE.

关键词： Machine learning Methods Network Research security Sensing Situational

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ICEECIT 2024 - proceedings: 2nd International conference on Electrical Engineering, computer and Information Technology 2024

ICEECIT 2024 - Proceedings: 2nd International Conference on ...

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2nd IEEE International conference on Electrical Engineering, computer and Information Technology, ICEECIT 2024

ISBN: (纸本)9798331504373

The proceedings contain 75 papers. The topics discussed include: blockchain technology model to increase transparency in the distribution of aid to disaster victims;design of a 1000 W boost inverter using the sine pulse wave modulation (SPWM) method;optimizing wall materials to reduce electrical energy consumption of building;implementation of yolo and face recognition on a security camera system for visitor detection in the computer and network lab of UNS;sharding blockchain model to reduce the costs of presidential elections in Indonesia base on blockchain technology;optimal placement of insertion transformers in distribution system;mobile-based nutrition and physical activity management for diabetes patients using google fit and react native;and enhancing traffic signs recognition systems through Gabor feature extraction techniques.

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Unraveling IoT Network security with Snort for Robust Intrusion Detection and Prevention 2

Unraveling IoT Network Security with Snort for Robust Intrus...

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2nd IEEE International conference on Contemporary Computing and communications, InC4 2024

作者： Geetha, K. Sreedevi, A.G. Chadha, Angela Raj Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350383652

The Internet of Things (IoT) has brought unprecedented connectivity, transforming technology across industries. This interconnected landscape, however, presents unprecedented network security challenges. This paper examines Snort's role as a powerful tool for Intrusion Detection in the network and the ways to prevent the intrusion detection and thoroughly investigates the security challenges posed by IoT networks. In light of the growing number of connected devices, the study focuses on specific vulnerabilities, emphasizing issues such as resource constraints, diverse communication protocols, and the need for tailored security measures. The paper provides a thorough examination of Snort's architecture and its application through the development of custom rules for detecting IoT threats. Practical implementation strategies such as network segmentation and continuous monitoring are investigated. The conclusion emphasizes how critical it is to understand threats unique to the Internet of Things and how to use Snort to fortify network defenses in this complex and ever-changing ecosystem. © 2024 IEEE.

关键词： Network intrusion

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Vulnerability Assessment and Penetration Testing of University Network 2nd

Vulnerability Assessment and Penetration Testing of Universi...

引用

2nd International conference on Information Technologies and Their Applications

作者： Khurshudov, Dursun Imanov, Akif Nuraliyev, Jamalladdin Nagiyeva, Malahat Aliyeva, Samira Azerbaijan Univ Architecture & Construct Dept Informat Technol & Syst Baku Azerbaijan

ISBN: (纸本)9783031734199;9783031734205

Recent research in network management and the enhancement of network security efficiency has seen a widespread use of traffic classification and clustering The increasing use of the Internet and the development of protocols and applications have also made research in the field of traffic classification highly relevant. Vulnerability assessments and penetration testing are determine the security posture of modern information networks. By assessing university network vulnerabilities and attempting to exploit found vulnerabilities through penetration testing security specialists are able to evaluate the effectiveness of their network defenses by identifying defense weaknesses, affirming the defense mechanisms in place. The purpose of this article is to determine the main tasks of penetration testing monitoring, investigate methods for vulnerability network traffic, and explore intellectual analysis methods used for penetration testing monitoring. Also, analyzing the of an penetration testing monitoring system capable of integrating components and methods to transmit information within a specified timeframe, detect interventions, control the development of events, identify, categorize, and effectively use modern security tools is envisaged.

关键词： Vulnerability Clustering Methods Machine learning Network security Algorithm Penetration testing monitoring

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AI Based Gym Management System with Body Performance Index measurement and Tips 2

AI Based Gym Management System with Body Performance Index m...

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2nd IEEE International conference on Networking and communications, ICNWC 2024

作者： Srivastava, Aman Diya Ajith, K. Annamalai, Suresh SRM Institute of Science and Technology School of Computing College of E&T Department of Networking and Communications Tamil Nadu Kattankulathur Chennai603203 India

ISBN: (纸本)9798350365269

The GMS-BPI Gym System is like a super cool computer program for gyms! It helps gym owners and people who go to the gym. For the owners, it makes things easier like signing up new members, planning classes, fixing gym stuff, and keeping track of money. There's even a fancy screen that shows how the gym is doing. But the awesome part is how it helps people who work out. GMS-BPI uses special gadgets to collect info about how fit they are. So, people can see how healthy they're getting, make goals, and get workout plans just for them. And it figures out a special number called the Body Performance Index to show how fit someone is overall. Recent Techniques - Wearable Fitness Trackers Integration, AI-Powered Personalized workout Plans, VR, AR Techniques for Workout Enhancements. Challenges Faced by the GMS-BPI System - Data Privacy and security Concerns, Integration Complexity with diverse devices, User Engagement & Retention, Accuracy and Reliability of BPI. © 2024 IEEE.

关键词： Machine learning

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