2019 International Conference on Computing, Networking and Communications (ICNC)最新文献_第9页

Towards Efficient Cellular Traffic Offloading via Dynamic MPTCP Path Configuration with SDN 通过动态MPTCP路径配置与SDN实现高效的蜂窝流量分流

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685652

Qi Zhao, Muhao Chen, Pengyuan Du, Tuan Le, M. Gerla

{"title":"Towards Efficient Cellular Traffic Offloading via Dynamic MPTCP Path Configuration with SDN","authors":"Qi Zhao, Muhao Chen, Pengyuan Du, Tuan Le, M. Gerla","doi":"10.1109/ICCNC.2019.8685652","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685652","url":null,"abstract":"Cellular networks are suffering from the fast increasing volume of mobile traffic data. Hence, cellular network providers are eager to seek various ways to offload the cellular traffic to WLAN, which can enhance the quality of experience for their customers. Multi-path TCP provides the ability to utilize multiple communication channels simultaneously to transmit data packets so that it can be adopted to serve cellular traffic offloading to pursue higher average throughput than traditional single path communication. However, the greedy nature of MPTCP scheduler can lead to even worse performance compared to single path, which finally makes cellular traffic offloading less efficient sometimes. Therefore, motivated by the lack of practical solutions for operators to properly configure the communication path, we design and implement a system that can dynamically determine and deploy optimal path selections for mobile users leveraging on software-defined networking. Our system has two novel components: i) a support vector machine regression model to predict the potential performance of MPTCP and ii) an SDN controller continuously monitors the network status and dynamically adjusts path configurations for every user on demand. The goal is to maximize the network bandwidth resources for the cellular traffic offloading through WiFi with minimum changes on the network infrastructure. We build a Mininet-WiFi-based testbed to perform evaluation experiments. Results reveal that our system achieves seamless network handover and increases the average throughput by 8% without introducing extra overhead.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122680156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Topological Rate-Splitting Based Power Allocation Scheme in K-cell MISO Interference Channel with Imperfect CSIT 不完全CSIT下基于拓扑速率分裂的k小区MISO干扰信道功率分配方案

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685627

Xiuyu Du, Lihua Li, Zejian Li, Guangyan Lu

引用次数: 2

Fragmented Data Routing Based on Exponentially Distributed Contacts in Delay Tolerant Networks 时延容忍网络中基于指数分布接点的分片数据路由

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685583

Tuan Le, Qi Zhao, M. Gerla

{"title":"Fragmented Data Routing Based on Exponentially Distributed Contacts in Delay Tolerant Networks","authors":"Tuan Le, Qi Zhao, M. Gerla","doi":"10.1109/ICCNC.2019.8685583","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685583","url":null,"abstract":"Existing works in data forwarding in delay tolerant networks often simplify the data transmission during a contact between two network nodes. One common assumption is that once transmitted, messages will always successfully arrive at the encounter node in its entirety regardless of the contact duration. The other common assumption is that messages are unfragmented, and are successfully transmitted only if the contact duration is long enough. If the contact duration is too short, the transmission will not complete, and the message needs to be re-transmitted in its entirety in the next contact. While the first assumption is unrealistic, the second assumption makes the routing strategy inefficient for large data items in network environments where most contact durations are short. In this work, we eliminate the assumption of unfragmented data, and propose a single-copy fragmented data routing strategy (FDR) that performs well with short contact durations. FDR considers the exponential distribution of inter-contact time, contact duration time, and fragmented data sizes when making forwarding decisions. We show that under short contact durations and large message sizes, our scheme can achieve up to 37% higher delivery rate and 35% lower delay compared to other routing strategies.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124103916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Towards Multimodal Learning for Android Malware Detection 面向Android恶意软件检测的多模式学习

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685502

Josh McGiff, W. G. Hatcher, James H. Nguyen, Wei Yu, Erik Blasch, Chao Lu

{"title":"Towards Multimodal Learning for Android Malware Detection","authors":"Josh McGiff, W. G. Hatcher, James H. Nguyen, Wei Yu, Erik Blasch, Chao Lu","doi":"10.1109/ICCNC.2019.8685502","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685502","url":null,"abstract":"As the worldwide adoption of smartphones nears complete saturation, the complexity and volume of mobile malware continue to progress, subverting what has become the largest set of targets with the most valuable rewards. At the same time, deep learning has become a powerful tool for data analysis and prediction, demonstrating significant efficacy in the detection of new and unforeseen malicious software through supervised learning. Despite these advances, the proper application of deep learning to malware detection could be further improved through additional data and model construction. In this work, we consider the detection of Android malware using static analysis techniques on multiple extractable data classes. Particularly, both Permission and Hardware Feature data are applied in various multimodal input scenarios and deep network shapes. Through experimental analysis, we demonstrate that the combination of both sets of data could improve overall performance, achieving as high as 94.5% classification accuracy. In addition, using only a limited grid search, we observe that the largest multimodal network requires the lowest time to train while achieving equivalent or greater accuracy compared with our other models.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"32 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120904588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 23

Diffuse Scattering Models for mmWave V2X Communications in Urban Scenarios 城市场景下毫米波V2X通信的漫射散射模型

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685661

B. Antonescu, Miead Tehrani Moayyed, S. Basagni

引用次数: 4

Accelerated Prediction of Bradycardia in Preterm Infants Using Time-Frequency Analysis 使用时频分析加速预测早产儿心动过缓

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685546

Md Shaad Mahmud, Honggang Wang, Yong K Kim

{"title":"Accelerated Prediction of Bradycardia in Preterm Infants Using Time-Frequency Analysis","authors":"Md Shaad Mahmud, Honggang Wang, Yong K Kim","doi":"10.1109/ICCNC.2019.8685546","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685546","url":null,"abstract":"The rapid growth of the high-performance data processing algorithms and fusion of wearable technologies has enabled us to continuously monitor the health status of infants. However, monitoring preterm infants is still a challenge due to their frightfully tiny size and their undeveloped skin. In this paper, we have demonstrated a framework of complete monitoring of the preterm infants and real-time accelerated prediction of bradycardia. Real-time prediction of bradycardia episodes in the NICU has the potential to provide quality care to these neonates. In the proposed system we incorporated a multi-GPU gradient boosting algorithm that was able to outperform the traditional CPU’s performance. This can overcome the manually maintained progress reports by nurses, which is a major hurdle in the NICU. The system maps the workflow in a Java based responsive application to provide statistical information along with growth charts and reports. The system extracts data with a specific interval to feed the GPU based extreme gradient boosting model. The feature extraction was performed on the time and frequency domain of the heart rate of infants to predict an episode of bradycardia. With an average accuracy of 86% and shortest detection time when compared to the models of other similar products, the proposed system showed that it can improve care time, minimize the skill gap, analyze early disease perdition, and reduce preterm infant’s morbidity and mortality.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132517462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A Method of Moments Estimator for Modulation Index of Continuous Phase Modulation 连续相位调制调制指标的一种矩估计方法

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685657

I. Khalid, Syed Asad Ullah, S. Saleem, Syed Ali Hassan

引用次数: 0

Joint Precoder and Combiner Design for MMSE Distributed Beamforming with Per-Antenna Power Constraints 具有单天线功率约束的MMSE分布式波束成形联合预编码器和组合器设计

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685511

Riten Gupta, Han Yan, D. Cabric

引用次数: 0

Spam DIS Attack Against Routing Protocol in the Internet of Things 针对物联网路由协议的垃圾邮件DIS攻击

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685628

Cong Pu

{"title":"Spam DIS Attack Against Routing Protocol in the Internet of Things","authors":"Cong Pu","doi":"10.1109/ICCNC.2019.8685628","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685628","url":null,"abstract":"A rapidly growing number of various sensors, objects and smart devices that are capable of communicating with each other without human intervention are leading the emergence of Internet-of-Things (IoT) and its applications. As a major building block of IoT, Low Power and Lossy Network (LLN) that consists of a set of resource-constrained nodes in terms of communication, computation, memory, and energy plays an essential role in the realization of ubiquitous computing and communication paradigm. In order to provide both efficient and reliable communication and enable the integration of resource-constrained nodes into the Internet, a novel routing protocol for LLNs, also referred to as RPL, has been proposed. However, LLNs running with RPL are vulnerable to various Denial-of-Service (DoS) attacks because of inherent resource constraints, the lack of tamper resistance and security features of routing protocol. In this paper, we present and investigate a new type of DoS attack, called spam DIS attack, in swiftly burgeoning RPL-based LLNs. In spam DIS attack, the malicious node multicasts a large number of DODAG Information Solicitation (DIS) messages with different fictitious identities to cause the legitimate nodes to restart the Trickle algorithm and broadcast an excessive number of DODAG Information Object (DIO) messages, which drain down the energy resource of legitimate nodes, and finally make the legitimate nodes suffer from denial of service. We conduct extensive simulation experiments for performance evaluation of spam DIS attack and comparison with original RPL without adversary. The simulation results indicate that the spam DIS attack is an extremely severe DoS attack in RPL-based LLNs.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132001300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 27

Network-based Classification of Authentication Attempts using Machine Learning 使用机器学习的基于网络的身份验证尝试分类

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685482

Curtis R. Taylor, Julian P. Lanson

引用次数: 0