Proceedings of the 19th International Conference on Distributed Computing and Networking最新文献_第3页

V-Chord: An efficient file sharing on LTE/GSM Network V-Chord: LTE/GSM网络上的高效文件共享

Proceedings of the 19th International Conference on Distributed Computing and Networking Pub Date : 2018-01-04 DOI: 10.1145/3154273.3154329

S. Tetarave, S. Tripathy, R. Ghosh

引用次数: 6

Enhanced Network Coverage Based on Mobile Sink Management in Wireless sensor network 基于移动汇聚管理的无线传感器网络增强网络覆盖

Proceedings of the 19th International Conference on Distributed Computing and Networking Pub Date : 2018-01-04 DOI: 10.1145/3154273.3154301

Mrinmoy Sen, I. Banerjee, T. Samanta

{"title":"Enhanced Network Coverage Based on Mobile Sink Management in Wireless sensor network","authors":"Mrinmoy Sen, I. Banerjee, T. Samanta","doi":"10.1145/3154273.3154301","DOIUrl":"https://doi.org/10.1145/3154273.3154301","url":null,"abstract":"In this paper we describe a scheme of using mobile sink(s) in a Wireless Sensor Network (WSN) to recover the energy holes in the network. Information from the regions containing holes does not provide sufficient data to the sink node. Hence data are not analyzed for further actions to be taken accordingly. Firstly, we generate a power map with the estimated Received Signal Strength (RSS), for a given target field, using static sink nodes. A power map is a 3-D plot, where Z-axis denotes the RSS strength in dBm all over the x-y coordinates in the network. An Inverse Distance Weighting (IDW) interpolation method is invoked in the signal power estimation model for both the static and dynamic power map. Secondly, we use mobile sinks to regenerate the power maps to cover the energy holes created with static sinks power maps. Paths of the mobile sinks aim at covering the holes generated by the static power map. We overlap the power maps derived with both static as well as mobile sink nodes (best suited dynamic power map), which show the coverage of energy hole(s) in static power map by the energy peak(s) of dynamic power map. This ensures enhancement in data collection and better coverage of the network.","PeriodicalId":276042,"journal":{"name":"Proceedings of the 19th International Conference on Distributed Computing and Networking","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124635449","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: 0

A QoE Aware SVC Based Client-side Video Adaptation Algorithm for Cellular Networks 基于QoE感知SVC的蜂窝网络客户端视频自适应算法

Proceedings of the 19th International Conference on Distributed Computing and Networking Pub Date : 2018-01-04 DOI: 10.1145/3154273.3154312

Anirban Lekharu, Satish Kumar, A. Sur, A. Sarkar

{"title":"A QoE Aware SVC Based Client-side Video Adaptation Algorithm for Cellular Networks","authors":"Anirban Lekharu, Satish Kumar, A. Sur, A. Sarkar","doi":"10.1145/3154273.3154312","DOIUrl":"https://doi.org/10.1145/3154273.3154312","url":null,"abstract":"The ever-increasing demand for video streaming is set to pose considerable challenges on the state-of-the-art multimedia transmission technologies like Dynamic Adaptive Streaming over HTTP (DASH). In this work, we propose an efficient client-side adaptation algorithm for the DASH framework that attempts to maximize the QoE of an end user by simultaneously balancing three important QoE verticals: (i) providing stutter-free video viewing experience, (ii) minimizing flickers in video outputs by controlling and smoothing the rates of encoding quality switches over time and (iii) maximizing aggregate video quality over an entire video session. In order to maintain uninterrupted high quality video viewing experience, the adaptation strategy dynamically selects the enhancement levels for video segments based on instantaneous network conditions and playout buffer status. We have evaluated the proposed adaptation strategy through theoretical analysis and simulation based experiments. Simulation results reveal that the proposed scheme is able to restrict re-buffering events significantly while simultaneously achieving high video quality and stability in the video output.","PeriodicalId":276042,"journal":{"name":"Proceedings of the 19th International Conference on Distributed Computing and Networking","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125038175","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: 9

A Novel Malware Analysis Framework for Malware Detection and Classification using Machine Learning Approach 基于机器学习方法的新型恶意软件检测与分类分析框架

Proceedings of the 19th International Conference on Distributed Computing and Networking Pub Date : 2018-01-04 DOI: 10.1145/3154273.3154326

Kamalakanta Sethi, S. Chaudhary, B. K. Tripathy, P. Bera

{"title":"A Novel Malware Analysis Framework for Malware Detection and Classification using Machine Learning Approach","authors":"Kamalakanta Sethi, S. Chaudhary, B. K. Tripathy, P. Bera","doi":"10.1145/3154273.3154326","DOIUrl":"https://doi.org/10.1145/3154273.3154326","url":null,"abstract":"Nowadays, the digitization of the world is under a serious threat due to the emergence of various new and complex malware every day. Due to this, the traditional signature-based methods for detection of malware effectively become an obsolete method. The efficiency of the machine learning techniques in context to the detection of malwares has been proved by state-of-the-art research works. In this paper, we have proposed a framework to detect and classify different files (e.g., exe, pdf, php, etc.) as benign and malicious using two level classifier namely, Macro (for detection of malware) and Micro (for classification of malware files as a Trojan, Spyware, Ad-ware, etc.). Our solution uses Cuckoo Sandbox for generating static and dynamic analysis report by executing the sample files in the virtual environment. In addition, a novel feature extraction module has been developed which functions based on static, behavioral and network analysis using the reports generated by the Cuckoo Sandbox. Weka Framework is used to develop machine learning models by using training datasets. The experimental results using the proposed framework shows high detection rate and high classification rate using different machine learning algorithms","PeriodicalId":276042,"journal":{"name":"Proceedings of the 19th International Conference on Distributed Computing and Networking","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129979945","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: 22

An Attack Graph-based On-line Multi-step Attack Detector 基于攻击图的在线多步攻击检测器

Proceedings of the 19th International Conference on Distributed Computing and Networking Pub Date : 2018-01-04 DOI: 10.1145/3154273.3154311

M. Angelini, Silvia Bonomi, Emanuele Borzi, Antonella del Pozzo, S. Lenti, G. Santucci

引用次数: 11

Parallel Processing of Packets with a PRAM 用PRAM并行处理数据包

Proceedings of the 19th International Conference on Distributed Computing and Networking Pub Date : 2018-01-04 DOI: 10.1145/3154273.3154334

H. B. Acharya

引用次数: 0

Non-Intrusive Air Leakage Detection in Residential Homes 住宅非侵入式漏风检测

Proceedings of the 19th International Conference on Distributed Computing and Networking Pub Date : 2018-01-04 DOI: 10.1145/3154273.3154345

Nilavra Pathak, David Lachut, Nirmalya Roy, Nilanjan Banerjee, R. Robucci

{"title":"Non-Intrusive Air Leakage Detection in Residential Homes","authors":"Nilavra Pathak, David Lachut, Nirmalya Roy, Nilanjan Banerjee, R. Robucci","doi":"10.1145/3154273.3154345","DOIUrl":"https://doi.org/10.1145/3154273.3154345","url":null,"abstract":"Air leakages pose a major problem in both residential and commercial buildings. They increase the utility bill and result in excessive usage of Heating Ventilation and Air Conditioning (HVAC) systems, which impacts the environment and causes discomfort to residents. Repairing air leakages in a building is an expensive and time intensive task. Even detecting the leakages can require extensive professional testing. In this paper, we propose a method to identify the leaky homes from a set, provided their energy consumption data is accessible from residential smart meters. In the first phase, we employ a Non-Intrusive Load Monitoring (NILM) technique to disaggregate the HVAC data from total power consumption for several homes. We propose a recurrent neural network and a denoising autoencoder based approach to identify the 'ON' and 'OFF' cycles of the HVACs and their overall usages. We categorize the typical HVAC consumption of about 200 homes and any probable insulation and leakage problems using the Air Changes per Hour at 50 Pa (ACH50) metric in the Dataport datasets. We perform our proposed NILM analysis on different granularities of smart meter data such as 1 min, 15 mins, and 1 hour to observe its effect on classifying the leaky homes. Our results show that disaggregation can be used to identify the residential air-conditioning, at 1 min granularity which in turn helps us to identify the leaky potential homes, with an accuracy of 86%.","PeriodicalId":276042,"journal":{"name":"Proceedings of the 19th International Conference on Distributed Computing and Networking","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133964871","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: 7

Precise Localization in Sparse Sensor Networks using a Drone with Directional Antennas 无人机定向天线稀疏传感器网络的精确定位

Proceedings of the 19th International Conference on Distributed Computing and Networking Pub Date : 2018-01-04 DOI: 10.1145/3154273.3154295

Francesco Betti Sorbelli, Sajal K. Das, M. C. Pinotti, S. Silvestri

{"title":"Precise Localization in Sparse Sensor Networks using a Drone with Directional Antennas","authors":"Francesco Betti Sorbelli, Sajal K. Das, M. C. Pinotti, S. Silvestri","doi":"10.1145/3154273.3154295","DOIUrl":"https://doi.org/10.1145/3154273.3154295","url":null,"abstract":"In this paper, we study a sensor localization technique that replaces fixed anchors with a drone equipped with directional antennas. Our goal is to localize each sensor in the deployment area achieving the localization precision explicitly required by the final user of the sensor networks. Due to the advent of directional antennas, we precisely localize applying a single trilateration for each sensor. To reach the desired precision, we force that each ground distance measured by the drone is greater than a minimum threshold and we set a suitable beamwidth for the directional antennas. Our proposed solution plans a static path for the drone and determines on it the measurements points such that all the sensors are measured at least three times from different antenna orientations. The performance of our solution, evaluated in terms of the static path length and of the achieved precision, is validated by simulation study. With respect to recently published results on sensor localization using flying anchors, our solution finds a shorter path (at least 30%), localizes all the nodes, and requires a single trilateration for each sensor.","PeriodicalId":276042,"journal":{"name":"Proceedings of the 19th International Conference on Distributed Computing and Networking","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127358737","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: 9

Evacuating Two Robots from Two Unknown Exits on the Perimeter of a Disk with Wireless Communication 利用无线通信从磁盘周边两个未知出口疏散两个机器人

Proceedings of the 19th International Conference on Distributed Computing and Networking Pub Date : 2018-01-04 DOI: 10.1145/3154273.3154313

D. Pattanayak, H. Ramesh, P. Mandal, Stefan Schmid

引用次数: 6

Gathering of Opaque Robots in 3D Space 在3D空间中收集不透明的机器人

Proceedings of the 19th International Conference on Distributed Computing and Networking Pub Date : 2018-01-04 DOI: 10.1145/3154273.3154322

Subhash Bhagat, S. Chaudhuri, K. Mukhopadhyaya

引用次数: 9