2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)最新文献_第8页

Optimal Target Set Selection via Opinion Dynamics 基于意见动态的最优目标集选择

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745846

Prince Sharma, Shailendra Shukla

引用次数: 3

Sentiment Analysis Framework of Twitter Data Using Classification 基于分类的Twitter数据情感分析框架

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745748

Medha Khurana, Anurag Gulati, Saurabh Singh

{"title":"Sentiment Analysis Framework of Twitter Data Using Classification","authors":"Medha Khurana, Anurag Gulati, Saurabh Singh","doi":"10.1109/PDGC.2018.8745748","DOIUrl":"https://doi.org/10.1109/PDGC.2018.8745748","url":null,"abstract":"Text mining is the way toward investigating and breaking down a lot of unstructured content information that can distinguish ideas, designs, subjects, catchphrases and different qualities in the information. Twitter is one of those forums that allow people across the world to put and exchange their views and ideas on several major and minor issues which are revolving around the world every day. Microblogging on twitter gains the interest of data researchers as there is an immense scope of mining and analysing the huge amount of unstructured data in several ways. In this paper, various algorithms for analysing the sentiments of the tweets have been discussed. Further, the performance of these algorithms has been compared based on certain metrics. Certain challenges while doing the study have also been described in terms of improvement and future scope. Since the machine learning algorithms have been performed on an unexplored dataset, language barriers to these algorithms have also been identified in terms of future scope and current feasibility of the algorithms. The analysis has been performed using classification algorithms - Naïve Bayes, Support Vector Machine and Random Forest. This experimental work has been executed in python and excel has been used to further evaluate and plot some of the results. Since the sentiment of the tweets cannot be beknown, test set has been manually prepared in order to prevent any errors in evaluating accuracy and precision of the models.","PeriodicalId":303401,"journal":{"name":"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128117859","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

Network Protocol Analytics For End User Context Identification 用于最终用户上下文识别的网络协议分析

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745911

Muna Kumar Singh, R. Nallaperumal, D P Sudhakar

{"title":"Network Protocol Analytics For End User Context Identification","authors":"Muna Kumar Singh, R. Nallaperumal, D P Sudhakar","doi":"10.1109/PDGC.2018.8745911","DOIUrl":"https://doi.org/10.1109/PDGC.2018.8745911","url":null,"abstract":"End user context identification on the server side can serve an important role in growing internet communication. Our target is to identify the mobility context of the end user on the server or sender side connected in a wireless network. Lack of previous work and unavailability of specific tools makes this work challenging. Naive approach includes, the trend of variation of throughput with mobility and Pearson correlation coefficient comparison of traced transport layer parameters. However both approach does not mark any strict signature for mobility of the end user, leads to lack of accuracy in estimation of mobility of the end user. Our approach is to model the traced parameters (parameters are traced using NS2) of the transport layer graphically using Bayesian Networks, then learn the joint probability distribution between the parameters using BNT toolbox of Matlab. Finally using graphical model, learned parameters from BNT toolbox and Pearson correlation coefficient we estimate the mobility context of end user with minimum error. Graphically modelling tracks the unknown relation between the parameters which is not carried out by Pearson correlation coefficient and Bayesian toolbox calculate the joint probability distribution between the parameters. Comparing the raw data with graphical model and Pearson coefficient gives the estimate of mobility of end user. Major advantage of this solution is its robustness because graphical model tracks the unknown relation between the parameters and Pearson coefficient tracks the correlation between them which has a fairly good variation with mobility.","PeriodicalId":303401,"journal":{"name":"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124473910","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

LD_ASG: Load Balancing Algorithm in Cloud Computing LD_ASG:云计算负载均衡算法

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745948

Vishalika, Deepti Malhotra

引用次数: 3

NL-IDS: Trust Based Intrusion Detection System for Network layer in Wireless Sensor Networks 基于信任的无线传感器网络层入侵检测系统

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745870

Umashankar Ghugar, J. Pradhan

{"title":"NL-IDS: Trust Based Intrusion Detection System for Network layer in Wireless Sensor Networks","authors":"Umashankar Ghugar, J. Pradhan","doi":"10.1109/PDGC.2018.8745870","DOIUrl":"https://doi.org/10.1109/PDGC.2018.8745870","url":null,"abstract":"From the last few years, security in wireless sensor network (WSN) is essential because WSN application uses important information sharing between the nodes. There are large number of issues raised related to security due to open deployment of network. The attackers disturb the security system by attacking the different protocol layers in WSN. The standard AODV routing protocol faces security issues when the route discovery process takes place. The data should be transmitted in a secure path to the destination. Therefore, to support the process we have proposed a trust based intrusion detection system (NL-IDS) for network layer in WSN to detect the Black hole attackers in the network. The sensor node trust is calculated as per the deviation of key factor at the network layer based on the Black hole attack. We use the watchdog technique where a sensor node continuously monitors the neighbor node by calculating a periodic trust value. Finally, the overall trust value of the sensor node is evaluated by the gathered values of trust metrics of the network layer (past and previous trust values). This NL-IDS scheme is efficient to identify the malicious node with respect to Black hole attack at the network layer. To analyze the performance of NL-IDS, we have simulated the model in MATLAB R2015a, and the result shows that NL-IDS is better than Wang et al. [11] as compare of detection accuracy and false alarm rate.","PeriodicalId":303401,"journal":{"name":"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124071669","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: 5

A Decentralized Fuzzy C-Means Minimal Clustering Protocol for Energy Efficient Wireless Sensor Network 高能效无线传感器网络的分散模糊c均值最小聚类协议

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745853

Parag Kumar Guha Thakurta, S. Roy

引用次数: 1

A Compact two element U shaped MIMO Planar Inverted-F Antenna (PIFA) for 4G LTE Mobile Devices 一种用于4G LTE移动设备的紧凑型双单元U形MIMO平面倒f天线(PIFA)

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745741

Namita Sharma, Dishant Khosla

引用次数: 2

Modified Cuckoo Search for Resource Allocation on Social Internet-of-Things 基于社会物联网资源配置的改进布谷鸟搜索

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745772

Himanshu Jindal, Hari Singh, M. Bharti

引用次数: 8

Prevention of Malicious Nodes Using Genetic Algorithm in Vehicular Ad Hoc Network 基于遗传算法的车载Ad Hoc网络恶意节点防范

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745859

Chetna Khurana, P. Yadav

{"title":"Prevention of Malicious Nodes Using Genetic Algorithm in Vehicular Ad Hoc Network","authors":"Chetna Khurana, P. Yadav","doi":"10.1109/PDGC.2018.8745859","DOIUrl":"https://doi.org/10.1109/PDGC.2018.8745859","url":null,"abstract":"VANET a thrilling function via mobile ad-hoc network (MANETs). VANET is a dominant invention which can supply practical vehicle to roadside infrastructure (V2I) communiqué and vehicle to vehicle (V2V). VANETs are a natural configure scheme wherein node are automobile and WIFI technology are used to shape networks. VANETs is a accredited construct intelligent transportation system (ITS) which emphasis on road protection, visitor well being and traffic effectiveness. In existing work, the supply node use extra data well identified as pseudo reply packet (PRREP). Supply node saves all details regarding entire arriving package in look-up chart chosen as RREP_T. The chart save series of PRREP set in ascending way via using POP and PUSHES processes. If there is any kind of deviation in chart order will be measured to PRREP series got via malicious node and will be rejected via source. Shortest series digits gives peak priority and it is measured via series digits. Nodes that have irregular series digits are measured as malicious node and supply transmit message via network. But depending on sequence number is not useful concept for the detection of malicious node in the network. In the proposed work, we overcome this problem via usage of genetic algorithm to recover performance in network. If the node has less fitness value than the threshold value than it is considered as a misbehaviour node. By this technique we can improve the performance of network by removing malicious nodes. We used NS2 in the simulation to provide the implementation work to provide the efficiency in the network.","PeriodicalId":303401,"journal":{"name":"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125511720","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

Network Security Metrics: Vital Ingredients for Measuring Networks Security 网络安全度量:衡量网络安全的重要成分

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745867

Naveen Bindra, M. Sood

{"title":"Network Security Metrics: Vital Ingredients for Measuring Networks Security","authors":"Naveen Bindra, M. Sood","doi":"10.1109/PDGC.2018.8745867","DOIUrl":"https://doi.org/10.1109/PDGC.2018.8745867","url":null,"abstract":"Networks are vulnerable. Attacks damage availability of network services and the reputation of the organizations. Researchers are trying hard to solve the puzzle of security. Nevertheless, the more we solve it, new challenges emerge and making it an unsolvable paradox. The security needs ‘measurement’ to catch up with the ever-increasing vectors, which in turn brings the ‘Security Metrics’ into the scene. Security metrics make the network more resilient and but they should be practical enough to make real-world predictions. To conceptualize and develop the metrics, one faces challenges as their development is easier said than done. This work explores the literature to find out the works done in this direction and highlights their merits besides analyzing the challenges in developing these metrics. We show ways to overcome these challenges along with the must-have ingredients of security metrics. This work aims to combine the strengths of best practices in developing efficient heuristics that accurately and inclusively assess the network security. We also propose four classes of network security metrics along with a simple methodology to develop the simple, effective and viable security metrics.","PeriodicalId":303401,"journal":{"name":"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127842398","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