Proceedings of the 2019 5th International Conference on Computer and Technology Applications最新文献_第3页

Hue combinations for the web: Towards a repertoire of design guidelines for combining color hues based on cultural background 网页色彩组合:基于文化背景的色彩组合设计指南

Proceedings of the 2019 5th International Conference on Computer and Technology Applications Pub Date : 2019-04-16 DOI: 10.1145/3323933.3324059

Vidal Ruse, Montathar Faraon, M. Wetterstrand

引用次数: 4

Between Habit and Addiction: An Overview of Preliminary Finding on Social Networking Sites Usage among Teenagers 在习惯与成瘾之间:青少年社交网站使用的初步调查综述

Proceedings of the 2019 5th International Conference on Computer and Technology Applications Pub Date : 2019-04-16 DOI: 10.1145/3323933.3324090

Yazriwati Yahya, N. A. Rahim, Roslina Ibrahim, Nurulhuda Firdaus Mohd Azmi, N. N. A. Sjarif, H. Sarkan

{"title":"Between Habit and Addiction: An Overview of Preliminary Finding on Social Networking Sites Usage among Teenagers","authors":"Yazriwati Yahya, N. A. Rahim, Roslina Ibrahim, Nurulhuda Firdaus Mohd Azmi, N. N. A. Sjarif, H. Sarkan","doi":"10.1145/3323933.3324090","DOIUrl":"https://doi.org/10.1145/3323933.3324090","url":null,"abstract":"Social networking sites (SNS) usage have impacted our lives in many ways. Researches on SNS usage mostly were focus on adults compared to teenagers. Nowadays, teenagers are so mesmerize with the SNS applications offered by the provider until they get addicted to it. Yet, SNS addiction is not an isolation process. It started off with high engagement and originated from habit behaviour. This study focuses on exploring and analyzing the usage of SNS among the teenagers in Malaysia specifically in urban area. It also examined the SNS habit and addiction behaviors of the teenagers and emphasized the differences of the behaviors between genders. An online survey form was distributed among the teenagers in urban area. The data were analyzed using SPSS and cross tabulations were constructed to understand the correlation between gender and SNS behaviors. From the analysis, comparisons between genders were done based on the frequency of the SNS habit and addiction behaviors. Based on the preliminary findings, it shows that there are slightly differences between the genders across the behaviors that may have shed some light for other researchers in the niche area.","PeriodicalId":137904,"journal":{"name":"Proceedings of the 2019 5th International Conference on Computer and Technology Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121899342","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

Search Engine Optimization (SEO) for Websites 搜索引擎优化(SEO)的网站

Proceedings of the 2019 5th International Conference on Computer and Technology Applications Pub Date : 2019-04-16 DOI: 10.1145/3323933.3324072

Aziz Barbar, Anis Ismail

引用次数: 11

Deep Feature Extraction for Pap-Smear Image Classification: A Comparative Study 基于深度特征提取的Pap-Smear图像分类的比较研究

Proceedings of the 2019 5th International Conference on Computer and Technology Applications Pub Date : 2019-04-16 DOI: 10.1145/3323933.3324060

Wafa Mousser, S. Ouadfel

引用次数: 18

Four Char DNA Encoding for Anomaly Intrusion Detection System 异常入侵检测系统的四字符DNA编码

Proceedings of the 2019 5th International Conference on Computer and Technology Applications Pub Date : 2019-04-16 DOI: 10.1145/3323933.3324069

O. Rashid, Z. Othman, S. Zainudin

{"title":"Four Char DNA Encoding for Anomaly Intrusion Detection System","authors":"O. Rashid, Z. Othman, S. Zainudin","doi":"10.1145/3323933.3324069","DOIUrl":"https://doi.org/10.1145/3323933.3324069","url":null,"abstract":"Recent research has shown that a Deoxyribonucleic Acid (DNA) has ability to be used to discover diseases in human body as its function can be used for an intrusion-detection system (IDS) to detect attacks against computer system and networks traffics. Three main factor influenced the accuracy of IDS based on DNA sequence, which is DNA encoding method, STR keys and classification method to classify the correctness of proposed method. The pioneer idea on attempt a DNA sequence for intrusion detection system is using a normal signature sequence with alignment threshold value, later used DNA encoding based cryptography, however the detection rate result is very low. Since the network traffic consists of 41 attributes, therefore we proposed the most possible less character number (same DNA length) which is four-character DNA encoding that represented all 41 attributes known as DEM4all. The experiments conducted using standard data KDDCup 99 and NSL-KDD. Teiresias algorithm is used to extract Short Tandem Repeat (STR), which includes both keys and their positions in the network traffic, while Brute-force algorithm is used as a classification process to determine whether the network traffic is attack or normal. Experiment run 30 times for each DNA encoding method. The experiment result shows that proposed method has performed better accuracy (15% improved) compare with previous and state of the art DNA algorithms. With such results it can be concluded that the proposed DEM4all DNA encoding method is a good method that can used for IDS. More complex encoding can be proposed that able reducing less number of DNA sequence can possible produce more detection accuracy.","PeriodicalId":137904,"journal":{"name":"Proceedings of the 2019 5th International Conference on Computer and Technology Applications","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115657475","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

System performance anomaly detection using tracing data analysis 系统性能异常检测采用跟踪数据分析

Proceedings of the 2019 5th International Conference on Computer and Technology Applications Pub Date : 2019-04-16 DOI: 10.1145/3323933.3324085

Iman Kohyarnejadfard, Mahsa Shakeri, Daniel Aloise

{"title":"System performance anomaly detection using tracing data analysis","authors":"Iman Kohyarnejadfard, Mahsa Shakeri, Daniel Aloise","doi":"10.1145/3323933.3324085","DOIUrl":"https://doi.org/10.1145/3323933.3324085","url":null,"abstract":"In recent years, distributed systems have become increasingly complex as they grow in both scale and functionality. Such complexity makes these systems prone to performance anomalies. Efficient anomaly detection frameworks enable rapid recovery mechanisms to increase the system's reliability. In this paper, we present an anomaly detection approach for practical monitoring of processes running on a system to detect anomalous vectors of system calls. Our proposed methodology employs a Linux tracing toolkit (LTTng) to monitor the processes running on a system and extracts the streams of system calls. The system calls streams are split into short sequences using a sliding window strategy. Unlike previous studies, our proposed approach computes the execution time of system calls in addition to the frequency of each individual call in a window. Finally, a multi-class support vector machine approach is applied to evaluate the performance of the system and detect the anomalous sequences. A comprehensive experimental study on a real dataset collected using LTTng demonstrates that our proposed method is able to distinguish normal sequences from anomalous ones with CPU or memory related problems.","PeriodicalId":137904,"journal":{"name":"Proceedings of the 2019 5th International Conference on Computer and Technology Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126999275","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

User Account Risk Identification Model for Web Applications Web应用程序的用户帐户风险识别模型

Proceedings of the 2019 5th International Conference on Computer and Technology Applications Pub Date : 2019-04-16 DOI: 10.1145/3323933.3324058

Yang Wang, Zhaoxin Zhang, Lejun Chi

引用次数: 1

Join Algorithms under Apache Spark: Revisited Apache Spark下的Join算法:重访

Proceedings of the 2019 5th International Conference on Computer and Technology Applications Pub Date : 2019-04-16 DOI: 10.1145/3323933.3324094

A. Al-Badarneh

引用次数: 3

Effects of Image Filters on Various Image Datasets 图像过滤器对各种图像数据集的影响

Proceedings of the 2019 5th International Conference on Computer and Technology Applications Pub Date : 2019-04-16 DOI: 10.1145/3323933.3324056

Didem Abidin

引用次数: 5

Students Perception of Learning Online: Professor's Presence in Synchronous Versus Asynchronous Modality 学生对在线学习的看法:同步与异步模式下教授的存在

Proceedings of the 2019 5th International Conference on Computer and Technology Applications Pub Date : 2019-04-16 DOI: 10.1145/3323933.3324087

Farnaz Sharifrazi, Suki Stone

引用次数: 5