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检索条件"丛书名=Computer Communications and Networks"

共 4934 条记录，以下是11-20 订阅

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Private Set Intersection Protocol with Perfect Hashing on OKVS: An Enhanced Approach for Privacy-Preserving Operations 33

Private Set Intersection Protocol with Perfect Hashing on OK...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Lee, Jiyeon Halla Univ Dept AI Informat Secur Wonju South Korea

ISBN: (纸本)9798350348439;9798350384611

This paper introduces a novel protocol for solving the Private Set Intersection (PSI) problem, leveraging the Oblivious Key-Value Stores (OKVS) data structure. OKVS enhances traditional Key-Value Stores (KVS) by adding privacy protection features. While OKVS has traditionally employed three methods-polynomial encoding-based, random matrix-based, and cuckoo hashing-based-it's now recognized that cuckoo hashing offers the most secure and efficient approach[1]. However, cuckoo hashing occasionally suffers from infinite loop issues despite efforts to minimize hash collisions. To address this, we propose a PSI protocol using perfect hashing instead of cuckoo hashing, resolving hash collision concerns. Our protocol maintains comparable time and space complexity to existing cuckoo hashing-based methods while ensuring improved performance.

关键词： oblivious key-value stores private set intersection perfect hashing

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A MECApp-aware Lifecycle Management Approach in 5G Edge-Cloud Deployments 33

A MECApp-aware Lifecycle Management Approach in 5G Edge-Clou...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Bellavista, Paolo Bujari, Armir Foschini, Luca Sabbioni, Andrea Venanzi, Riccardo Univ Bologna Dept Comp Sci & Engn Bologna Italy

ISBN: (纸本)9798350348439;9798350384611

The recent trend pushing towards reliance on edge computing, virtualization and programmatic 5G network control has sparked the development of a myriad of open-source resource management and orchestration projects for improved control and added flexibility, making up for a rich and complex ecosystem of frameworks and tools with varying degree of support for standardized features. In this technological panorama, the ETSI Multi-Access Edge Computing (MEC) standard proposes a conceptual reference architecture, standardizing edge integration, interoperability and application management in an extended 5G edge-core architecture. In this context, we propose an application-aware orchestration solution for 5G edge-core distributed deployments, currently lacking support in state-of-the-art frameworks and tools. The proposal is built on an experimental and distributed deployment of the OpenAirInterface minimal MEC platform implementation and relies on the Kubernetes Operator pattern for the automatic MECApp lifecycle management. To validate our approach, we conduct a series of experiments, reporting key metrics of interest.

关键词： Edge Cloud ETSI MEC 5G Orchestration Kubernetes

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SleepWalker: Constrastive Fine-tuning Technique for Text to Kinematics Models for Human computer Interaction 33

SleepWalker: Constrastive Fine-tuning Technique for Text to ...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Edwards, Demarcus Rawat, Danda B. Howard Univ Dept Elect Engn & Comp Sci Washington DC 20059 USA

ISBN: (纸本)9798350348439;9798350384611

In this paper, we present SleepWalker, a few-shot fine-tuning approach for conditional text-to-motion generation. Our key innovation is extending contrastive learning, previously applied to image diffusion, to the new domain of text-to-motion synthesis. By binding subject representations to a text-conditioned diffusion model, SleepWalker enables personalized 3D human motion generation directly from natural language descriptions using just 15-25 examples. We demonstrate state-of-the-art performance on standardized metrics and benchmarks. The accessible fine-tuning method advances conditional motion synthesis, unlocking new creative possibilities in AR/VR, gaming, robotics, and human-computer interaction.

关键词： Diffusion VAE Generative AI Adversarial Learning Contrastive Learning

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Sharing Stateless Containers among MEC Applications Composed of Multiple Containers 33

Sharing Stateless Containers among MEC Applications Composed...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Yanagisawa, Shuntaro Yamada, Kohki Sekiguchi, Atsushi Kondo, Takao Kumakura, Ken Maesako, Keisuke Zhang, Liang Mori, Kosuke Teraoka, Fumio Keio Univ Grad Sch Sci & Technol Yokohama Kanagawa Japan Hokkaido Univ Informat Initiat Ctr Sapporo Hokkaido Japan SoftBank Corp Tokyo Japan Keio Univ Fac Sci & Technol Yokohama Kanagawa Japan

ISBN: (纸本)9798350348439;9798350384611

In an MEC (Multi-access Edge Computing) environment, it is suitable to compose an application as a set of containers for flexibility in resource allocation. This paper proposes stateless shared containers (SS-Containers) that can be shared by multiple applications simultaneously in an MEC environment, similar to a shared library in an operating system. It is expected that SS-Containers reduce resource consumption, shorten application startup time, and efficiently manage special hardware such as GPU. When 16 applications share an SS-Container with an encryption function, and each application contains the container with the same encryption function, the memory consumption is reduced by approximately 190 MiB. Comparing the case in which nine applications share an SS-Container that accesses a GPU to solve large-scale simultaneous linear equations with the case in which nine applications randomly access a GPU via a container inside them, the response time is reduced approximately by 57 % (39 seconds).

关键词： MEC container classification stateless shared container GPU sharing

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Advancing Network Security with Quantum-Safe System Integration 33

Advancing Network Security with Quantum-Safe System Integrat...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Mao, Jianzhou Xu, Guobin Sakk, Eric Wang, Shuangbao(Paul) Morgan State Univ Dept Comp Sci Baltimore MD 21239 USA

ISBN: (纸本)9798350348439;9798350384611

As quantum computing continues to advance, it poses unprecedented risks to traditional factor-based encryption methods, such as RSA, undermining the security of current cryptographic protocols. To address this pivotal security concern, this paper explores a quantum-safe solution that includes two cutting-edge Quantum Key Distribution (QKD) systems, two integrated encryptors, and various networking devices to establish a fortified framework for secure communication. We introduce a system environment setup encompassing the initial configuration, software updates, and management using CM7 software. Next, we delve into the essential configuration and integration steps for deploying a quantum-safe communication network. Moreover, we highlight the strategic implementation of automated script deployment processes, which are instrumental in configuring the QKD system and encryptors. Furthermore, we perform a performance evaluation of the quantum-safe network system, which provides valuable insights into the system's resilience through experimental simulations of beam-splitting attacks. This study provides crucial insights into operational dynamics and showcases the effectiveness of securing communications against cyber threats, underlining the significant potential of quantum-safe solutions in fortifying network security.

关键词： Security Quantum-Safe Networking Symmetric Key Encryptor Quantum Key Distribution

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On Improved Efficiency and Forward Security of 0-RTT Key Exchange for SDP 33

On Improved Efficiency and Forward Security of 0-RTT Key Exc...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Zhang, Lei Ge, Jingguo Wu, Yulei Le, Tong Li, Hui Yuepeng, E. Chinese Acad Sci Key Lab Cyberspace Secur Def Inst Informat Engn Beijing 100085 Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing 100049 Peoples R China Univ Bristol Sch Elect Elect & Mech Engn Bristol BS8 1UB Avon England

ISBN: (纸本)9798350348439;9798350384611

The Transport Layer Security (TLS) protocol has been widely used in software-defined perimeter (SDP) to establish secure, encrypted connections between distributed SDP components. To improve communication efficiency of its handshake protocol, the latest TLS standard (i.e., TLS 1.3) introduces a zero round-trip-time (0-RTT) handshake. However, traditional 0-RTT handshake protocols lack a forward secure key exchange scheme, so encrypted data that have already been transmitted could be potentially leaked to attackers after the pre-shared key (PSK) is compromised. To achieve secure TLS handshake with minimal communication cost, several forward secure 0-RTT key exchange schemes based on puncturable encryption were proposed. However, they are not applicable to real world SDP environments, because they either need to pre-store a large number of secret keys in the host onboard phase, or require a large number of complex cryptography operations (e.g., bilinear-pairing) in the access phase. Therefore, to avoid high computational overhead while still maintaining communication efficiency and forward security, a novel 0-RTT key exchange scheme based on efficient puncturable key encapsulation mechanism is proposed in this paper. Experimental results show that, with reasonable (and configurable) memory consumption, the latency performance of the proposed scheme is about 30% better than FFDHE3072, which is a practical 1-RTT key exchange scheme in TLS 1.3.

关键词： Software Defined Perimeter 0-RTT Key Exchange Forward Secrecy Puncturable Encryption

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ECO: Edge Continuum Orchestrator Framework for managing serverless chains across the Cloud-Edge Spectrum 33

ECO: Edge Continuum Orchestrator Framework for managing serv...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Alarbi, Muhamed Belson, Robert Lutfiyya, Hanan Univ Western Ontario Dept Comp Sci London ON Canada Amazon Web Serv AWS Edge Comp New York NY USA

ISBN: (纸本)9798350348439;9798350384611

The proliferation of smart devices has paved the way for the development of intelligent applications across various sectors. While Cloud Computing offers virtually limitless resources for deploying applications and handling data generated by these devices, emerging applications impose higher performance demands that surpass the capabilities of traditional Cloud Computing paradigms. This paper introduces the Edge Continuum Orchestrator (ECO), a novel framework aimed at addressing the deployment and management challenges of serverless applications across the Cloud Continuum to meet these critical application demands such as ultra-low latency, high transmission bandwidth and low energy consumption. Through the architectural design and real-world deployment of the ECO, this work investigates the performance impacts of Serverless applications deployed to a Edge-Cloud Continuum and the flexibility of ECO to accommodate these heterogeneous topologies.

关键词： Edge-Cloud Continuum Orchestration Serverless Chain Function as a Service Multi-access Edge Computing

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Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration 33

Acies-OS: A Content-Centric Platform for Edge AI Twinning an...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Li, Jinyang Chen, Yizhuo Kimura, Tomoyoshi Wang, Tianshi Wang, Ruijie Kara, Denizhan Hu, Yigong Wu, Li Hanafy, Walid A. Souza, Abel Shenoy, Prashant Wigness, Maggie Bhattacharyya, Joydeep Kim, Jae Wang, Guijun Kimberly, Greg Eckhardt, Josh Osipychev, Denis Abdelzaher, Tarek Univ Illinois Dept Comp Sci Champaign IL 61820 USA Univ Massachusetts Dept Comp Sci Amherst MA 01003 USA DEVCOM Army Res Lab Adelphi MD 20783 USA Boeing Co Seattle WA 98108 USA

ISBN: (纸本)9798350348439;9798350384611

This paper describes Acies-OS, a content-centric platform for edge AI twinning and orchestration that allows easy deployment, re-configuration, and control of edge AI services, augmented by a digital twin. The work is motivated by the proliferation of edge AI in a plethora of IoT applications, ranging from home automation to military defense, and the emergence of digital twins that go beyond monitoring and emulation into configuration management and optimization of edge capabilities. While past work focused on either the edge capabilities themselves or the digital twin, this work focuses on their seamless interactions, offering abstractions that enable the digital twin to manage and optimize an increasingly diverse edge AI system. Acies-OS features a structured namespace, a thin client library with flexible pub/sub-based communication, health monitoring support, and a control plane for twin-based value-added analysis and optimization. To illustrate the use of Acies-OS, we implemented a multi-node multi-modality vehicle classification application and used Acies-OS to interface it to a digital twin. We then deployed the system in the field to showcase run-time twin-based optimizations of inference latency, classification accuracy, and robustness to failures in noisy and challenging conditions.

关键词： Digital Twin Digital Twin Control Plane Content-Centric Network Internet of Things Cyber Physical Systems Edge AI

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Explainability Guided Adversarial Evasion Attacks on Malware Detectors 33

Explainability Guided Adversarial Evasion Attacks on Malware...

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33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Aryal, Kshitiz Gupta, Maanak Abdelsalam, Mahmoud Saleh, Moustafa Tennessee Technol Univ Dept Comp Sci Cookeville TN 38505 USA North Carolina A&T State Univ Dept Comp Sci Greensboro NC 27411 USA Oracle Oracle Cloud Infrastruct Seattle WA 98101 USA

ISBN: (纸本)9798350348439;9798350384611

As the focus on security of Artificial Intelligence (AI) is becoming paramount, research on crafting and inserting optimal adversarial perturbations has become increasingly critical. In the malware domain, this adversarial sample generation relies heavily on the accuracy and placement of crafted perturbation with a goal to evade a trained classifier. This work focuses on applying explainability techniques to enhance the adversarial evasion attack on a machine-learning-based Windows PE malware detector. The explainable tool identifies the regions of PE malware files that have the most significant impact on the decision-making process of a given malware detector, and therefore, the same regions can be leveraged to inject the adversarial perturbation for maximum efficiency. Profiling all the PE malware file regions based on their impact on the malware detector's decision enables the derivation of an efficient strategy for identifying the optimal location for perturbation injection. The strategy should incorporate the region's significance in influencing the malware detector's decision and the sensitivity of the PE malware file's integrity towards modifying that region. To assess the utility of explainable AI in crafting an adversarial sample of Windows PE malware, we utilize DeepExplainer module of SHAP (SHapley Additive exPlanations) for determining the contribution of each region of PE malware to its detection by a CNN-based malware detector, MalConv. The analysis includes both local and global explanations for the given malware samples. We performed the functionality-preserving adversarial perturbation injection in different regions of PE malware wherever possible while performing non-functionality-preserving operations in a few remaining regions. This approach allows us to examine the relationship between SHAP values and the evasion rate of the adversarial attack. Furthermore, we analyzed the significance of SHAP values at a more granular level by subdividing each

关键词： Adversarial Evasion Attack Windows PE Malware Machine Learning Malware Detector Explainability SHAP

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Cloudy Forecast: How Predictable is Communication Latency in the Cloud? 33

Cloudy Forecast: How Predictable is Communication Latency in...

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33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Hilyard, Owen Cui, Bocheng Webster, Marielle Muralikrishna, Abishek Bangalore Charapko, Aleksey Univ New Hampshire Durham NH 03824 USA

ISBN: (纸本)9798350348439;9798350384611

Many systems and services rely on timing assumptions for performance and availability to perform critical aspects of their operation, such as various timeouts for failure detectors or optimizations to concurrency control mechanisms. Many such assumptions rely on the ability of different components to communicate on time-a delay in communication may trigger the failure detector or cause the system to enter a less-optimized execution mode. Unfortunately, these timing assumptions are often set with little regard to actual communication guarantees of the underlying infrastructure - in particular, the variability of communication delays between processes in different nodes/servers. The higher communication variability holds especially true for systems deployed in the public cloud since the cloud is a utility shared by many users and organizations, making it prone to higher performance variance due to noisy neighbor syndrome. In this work, we present Cloud Latency Tester (CLT), a simple tool that can help measure the variability of communication delays between nodes to help engineers set proper values for their timing assumptions. We also provide our observational analysis of running CLT in three major cloud providers and share the lessons we learned.

关键词： Concurrency control

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