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

共 4934 条记录，以下是211-220 订阅

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Pervasive Internet-Wide Low-Latency Authentication 30

Pervasive Internet-Wide Low-Latency Authentication

引用

30th International Conference on computer communications and networks (ICCCN)

作者： Kraehenbuehl, Cyrill Legner, Markus Bitterli, Silvan Perrig, Adrian Swiss Fed Inst Technol Dept Comp Sci Zurich Switzerland

ISBN: (纸本)9780738113302

In a world with increasing simplicity to store, transfer, and analyze large volumes of data, it becomes more and more important that data confidentiality and integrity be preserved in transit by default. Unfortunately, a large security gap exists between unprotected or low-security communication, such as opportunistic encryption and trust-on-first-use (TOFU) security, and high-security communication, such as TLS using server certificates or DNSSEC. Our goal is to reduce this gap and achieve a base layer for authentication and secrecy that is strictly better than TOFU security. We achieve this by designing PILA, a novel authentication method with dynamic trust anchors, which leverages irrefutable cryptographic proof of misbehavior to incentivize benign behavior. We implement PILA extensions for SSH, TLS, and DNS and show that the overhead for a typical SSH and TLS connection establishment is negligible, and that PILA only causes a marginal processing overhead of similar to 100 mu s per DNS response at the endpoints.

关键词： Performance evaluation Data privacy Protocols Authentication Solids Encryption Servers

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Designing an Affective States Input Tool for Biking 30

Designing an Affective States Input Tool for Biking

引用

30th International Conference on computer communications and networks (ICCCN)

作者： Cuibus, Octavian Benta, Kuderna-Iulian Alpers, Sebastian Tech Univ Cluj Napoca Automat Dept Cluj Napoca Romania Babes Bolyai Univ Comp Sci Dept Cluj Napoca Romania Univ Mannheim Sch Business Mannheim Germany

ISBN: (纸本)9780738113302

Biking may elicit different affective (mental and physiological) states. While keeping balance and attention to the road and passengers, logging events and the corresponding change in affective states should be an easy and non-intrusive task, but nonetheless precise and significant in grasping the feelings and affective states meaningfully. Four user interface design set-ups are deployed on a smartphone extended with dedicated peripherals mounted on a bicycle. We engaged in studying the efficiency and precision of each approach, considering different sensorial channels (visual, auditive, and tactile) and giving the user feedback according to the selected values for the self-evaluation of the current affective state. The Activation-Valence plane and a finite discrete set of affective (mental and physiological) states are used to model the user's status. Comparative results over a pilot test are presented and new ways of sharing the experience are envisioned to increase the interactivity and the sense of fellowship.

关键词： mobile application affective computing input modalities bicycle evaluation activation-valence

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Developing Models from Measurements in a Noisy Environment: Lessons from an Indoor Wi-Fi Measurement Study on Application Performance 30

Developing Models from Measurements in a Noisy Environment: ...

引用

30th International Conference on computer communications and networks (ICCCN)

作者： Hartshorn, Caylin A. Al-Shaikhli, Waleed K. Mehr, Sheyda Kiani Cummins, Daniel Tamarapalli, Venkatesh Medhi, Deep Univ Missouri Comp Sci & Elect Engn Dept Kansas City MO 64110 USA Univ Missouri Campus Informat Serv Kansas City MO 64110 USA Indian Inst Technol Guwahati Dept Comp Sci & Engn Gauhati India

ISBN: (纸本)9780738113302

While anecdotally it is believed that Wi-Fi signal strength impacts the application performance, there is little work to quantify this connection. In this work, we explored a data-driven approach to model the relationship between Wi-Fi signal strength and the application performance in an indoor wireless environment. We discuss challenges in measurement in a noisy indoor Wi-Fi environment. Our experience and lessons learned are shared for the broader audience. While it was not possible to find definitive empirical models, our study shows that a trend in relationship can still be obtained. We conclude with lessons learned from this work.

关键词： Indoor Wi-Fi Measurement Signal Strength Application Throughput Regression Noisy Environment

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Machine Learning based Flow Classification in DCNs using P4 Switches 30

Machine Learning based Flow Classification in DCNs using P4 ...

引用

30th International Conference on computer communications and networks (ICCCN)

作者： Kamath, Radhakrishna Sivalingam, Krishna M. Indian Inst Technol Madras Dept Comp Sci & Engn Chennai Tamil Nadu India

ISBN: (纸本)9780738113302

This paper deals with classifying flows in data center networks, primarily based on the flows' volume of traffic and duration. Flows are typically classified as long-lived flow or short-lived flow. Long-lived flows throttle the short-lived flows and should be classified at the earliest to select a different path in the network for them. The objectives of the proposed classification scheme are: (i) to support more than two flow classes (three in this paper), (ii) to achieve early classification by observing the first few packets in the flow, (iii) to achieve classification using ML techniques implemented in a programmable data plane switch using the Programming Protocol-independent Packet Processors (P4) language. Our contribution includes an improved hash-and-store algorithm for flow classification. The ML technique considered is Decision Tree, since it can be efficiently implemented in a P4 environment. The techniques have been evaluated using simulation-generated data implemented in a mininet emulator environment and classification accuracy results obtained. Two existing schemes, HashPipe and IdeaFix have also been implemented for comparison. The results show that the proposed scheme can classify a flow within 3 MB of the flow size when we consider more than one feature to classify the flows. This outperforms the existing threshold-based schemes by classifying flows, 3 times faster.

关键词： Datacenter networks Flow Classification Programmable data plane Machine Learning P4 language

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Sense-Bandits: AI-based Adaptation of Sensing Thresholds for Heterogeneous-technology Coexistence Over Unlicensed Bands 30

Sense-Bandits: AI-based Adaptation of Sensing Thresholds for...

引用

30th International Conference on computer communications and networks (ICCCN)

作者： Hirzallah, Mohammed Krunz, Marwan Univ Arizona Dept Elect & Comp Engn Tucson AZ 85721 USA

ISBN: (纸本)9780738113302

In this paper, we present Sense-Bandits, an AI-based framework for distributed adaptation of the sensing thresholds (STs) over shared spectrum. This framework specifically targets the coexistence of heterogenous technologies, e.g., Wi-Fi, 4G Licensed-Assisted Access (LAA), and 5G New Radio Unlicensed (NR-U), over unlicensed channels. To access the channel, a device compares the measured power with a predefined ST value and accordingly decides if the channel is idle or not. Improper setting of the ST values creates asymmetric sensing floors, resulting in collisions due to hidden terminals and/or reduction in the spatial reuse due to exposed terminals. Optimal ST setting is challenging because it requires global knowledge of mobility, traffic loads, and channel access behavior of all contending devices. Sense-Bandits tackles this problem by employing a clustering-based multi-armed bandit (MAB) algorithm, which adapts its learning behavior based on network dynamics. Clustering allows the algorithm to track network changes in real-time, ensuring fast learning of the best ST values by classifying the state and dynamics of coexisting networks. We develop a C++-based network simulator that implements Sense-Bandits and we apply it to evaluate the coexistence of Wi-Fi and 5G NR-U systems over the unlicensed 5 GHz U-NII bands. Our simulation results indicate that ST-adaptive devices employing Sense-Bandits do not harm neighboring devices that adopt a fixed ST value.

关键词： Heuristic algorithms Simulation Clustering algorithms Telecommunication traffic Throughput Real-time systems Sensors

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Interference-Aware Sector Design in IEEE 802.11ad networks 30

Interference-Aware Sector Design in IEEE 802.11ad Networks

引用

30th International Conference on computer communications and networks (ICCCN)

作者： Gaillard, Guillaume Jakllari, Gentian Univ Toulouse ENSEEIHT INPT RMESSIRIT Toulouse France

ISBN: (纸本)9780738113302

IEEE 802.11ad is the first standard capable of delivering Gigabit capacities in a WLAN setting by exploiting mmWave frequencies. Its key innovation is the Sector Level Sweep, a procedure for establishing directional links over mmWave by sweeping over a pre-computed set of phased-array antenna sectors. Crucial to the performance of IEEE 802.11ad networks and involving an exponentially-large search space, the sector design is left open to implementation. As a result, several sector designs have been introduced that are aimed at maximizing the SNR of a given direct link while ignoring the interference projected to other links. If highly competitive in small deployments, a sector design that does not take interference into account can lead to poor overall performance in multi-AP deployments. We present IASSEN, the first approach to Interference-Aware Sector deSign in IEEE 802.11ad networks. Anchored in an intimate understanding of COTS 802.11ad hardware, IASSEN models the SINR for each network link as function of the low-level parameters driving the sector design. After modeling the problem of interference-aware sector design as an integer nonlinear programming problem, IASSEN introduces a heuristic carefully combining a quick convergence to a local optimum with an approach for avoiding poor local optimum points. A simulation study using measurement-based and realistic sector patterns shows that IASSEN improves overall network performance by as much as 100% when compared to state-of-the-art approaches that do not take interference into account.

关键词： Wireless LAN Technological innovation Conferences Interference Programming Directive antennas Hardware

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Fed-DDM: A Federated Ledgers based Framework for Hierarchical Decentralized Data Marketplaces 30

Fed-DDM: A Federated Ledgers based Framework for Hierarchica...

引用

30th International Conference on computer communications and networks (ICCCN)

作者： Xu, Ronghua Chen, Yu Binghamton Univ Dept Elect & Comp Engn Binghamton NY 13902 USA

ISBN: (纸本)9780738113302

Data marketplaces (DMs) promote the benefits of the Internet of Things (IoT) in smart cities. To facilitate the easy exchanges of real-time IoT data streams between device owners and third-party applications, it is required to provide scalable, interoperable, and secured services for large numbers of distributed IoT devices operated by different application vendors. Thanks to decentralization, immutability, and auditability, Blockchain is promising to enable a tamper-proof and trustfree framework to enhance performance and security issues in centralized DMs. However, directly integrating blockchains into large-scale IoT-based DMs still faces many limitations, such as high resource and energy demands, low transaction throughput, poor scalability, and challenges in privacy preservation. This paper introduces a novel Federated Ledgers-based Framework for Hierarchical Decentralized Data Marketplaces (Fed-DDM). In Fed-DDM, participants are divided into multiple permissioned domains given their registrations. Each domain leverages an efficient Byzantine Fault Tolerance (BFT) consensus protocol to commit transactions of a domain on a private intra-ledger. A public inter-ledger network adopts a scalable Proof-of-Work (PoW) consensus protocol to federate multiple private intra-ledger networks. We design a smart contract-enabled inter-ledger protocol to guarantee the security of the cross-domain operations on a public federated ledger without exposing sensitive privacy information from private ledgers. A proof-of-concept prototype is implemented, and the experimental results verify the feasibility of the proposed Fed-DDM solution with performance and security guarantees.

关键词： IoT-based Data Marketplaces Federated Ledger Blockchain Smart Contract Security Privacy

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A Control Plane for WireGuard 30

A Control Plane for WireGuard

引用

30th International Conference on computer communications and networks (ICCCN)

作者： Paillisse, Jordi Barcia, Alejandro Lopez, Albert Rodriguez-Natal, Alberto Maino, Fabio Cabellos, Albert UPC BarcelonaTech Comp Architecture Dept Barcelona Spain Cisco San Jose CA 95134 USA

ISBN: (纸本)9780738113302

WireGuard is a VPN protocol that has gained significant interest recently. Its main advantages are: (i) simple configuration (via pre-shared SSH-like public keys), (ii) mobility support, (iii) reduced codebase to ease auditing, and (iv) Linux kernel implementation that yields high performance. However, WireGuard (intentionally) lacks a control plane. This means that each peer in a WireGuard network has to be manually configured with the other peers' public key and IP addresses, or by other means. In this paper we present an architecture based on a centralized server to automatically distribute this information. In a nutshell, first we manually establish a WireGuard tunnel to the centralized server, and ask all the peers to store their public keys and IP addresses in it. Then, WireGuard peers use this secure channel to retrieve on-demand the information for the peers they want to communicate to. Our design strives to: (i) offer a key distribution scheme simpler than PKI-based ones, (ii) limit the number of public keys sent to the peers, and (iii) reduce tunnel establishment latency by means of an UDP-based protocol. We argue that such automation can help the deployment in enterprise or ISP scenarios. We also describe in detail our implementation and analyze several performance metrics. Finally, we discuss possible improvements regarding several shortcomings we found during implementation.

关键词： dynamic VPN wireguard secure overlays control plane

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Network-based Active Defense for Securing Cloud-based Healthcare Data Processing Pipelines 30

Network-based Active Defense for Securing Cloud-based Health...

引用

30th International Conference on computer communications and networks (ICCCN)

作者： Akashe, Vaibhav Neupane, Roshan Lal Alarcon, Mauro Lemus Wang, Songjie Calyam, Prasad Univ Missouri Dept Elect Engn & Comp Sci Columbia MO 65211 USA

ISBN: (纸本)9780738113302

Active defense schemes are becoming critical to secure cloud-based applications in the fields such as healthcare, entertainment, and manufacturing. Active defense mechanisms in cloud platforms need to be robust against targeted attacks (such as Distributed Denial-of-Service (DDoS), malware, and SQL injection) that make servers unresponsive and/or cause data breaches/loss, which in turn can cause high impact especially for healthcare applications. In this paper, we present a novel network-based active defense mechanism viz., "defense by pretense" that uses real-time attack detection and creates cyber deception e.g., by redirecting attacker's traffic to quarantine machines and sending spoofed responses to attacker for cloud-based healthcare data processing applications. We implement our active defense mechanism by creating a realistic testbed on AWS cloud platform featuring the Observational Health Data Sciences and Informatics (OHDSI) framework for protected health data analytics with electronic health record data (SynPUF) and COVID-19 publications (CORD-19). Our evaluation experiments show the need and effectiveness of our active defense mechanism against targeted resource and data exfiltration attacks. We compare our active defense system against state-of-the-art active defense works, and our results show that our system is cost-effective, scalable and easy to deploy for active defense.

关键词： Active defense Cybersecurity Analytics Healthcare Data Application Threat Risk Assessment

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Accelerate Cooperative Deep Inference via Layer-wise Processing Schedule Optimization 30

Accelerate Cooperative Deep Inference via Layer-wise Process...

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30th International Conference on computer communications and networks (ICCCN)

作者： Wang, Ning Duan, Yubin Wu, Jie Rowan Univ Dept Comp Sci Glassboro NJ 08028 USA Temple Univ Ctr Networked Comp Philadelphia PA 19122 USA

ISBN: (纸本)9780738113302

Computation offloading is proposed to solve one obstacle of enabling high-accurate and real-time deep inference in resource-constrained Internet of Things (IoT) devices. Cooperative deep inference is proposed recently to further trade-off the introduced communication latency in computation offloading, which partitions a Deep Neural Network (DNN) model into two parts and utilizes the IoT end device and the server to process the DNN model cooperatively. We observe one important but ignored fact in all previous works: DNN computation and communication processing can be conducted simultaneously in cooperative deep inference. As a result, the DNN layer-wise processing schedule has an impact on inference latency and it is non-trivial to find the optimal schedule in State-Of-The-Art (SOTA) DNNs with Directed Acyclic Graph (DAG) computational architectures. The contributions of this paper are as follows. (1) The proposed Deep Inference Optimization with Layer-wise Schedule, DeepInference-L, is a unique pipeline-based DAG schedule problem, which turns out to be NP-hard. (2) We categorize SOTA DNNs into three different categories and discuss the corresponding optimal processing schedule in special cases and efficient heuristic schedules in the general case. (3) The proposed solutions are extensively tested via a proof-of-concept prototype. (4) Results indicate that our algorithms can achieve an 8x speedup compared with local inference in the best case.

关键词： computation offloading mobile computing edge computing deep inference scheduling

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