J. Chem. Inf. Comput. Sci.最新文献_第3页

Safeguarding the Information Systems in an Organization through Different Technologies, Policies, and Actions 通过不同的技术、政策和行动来保护组织中的信息系统

J. Chem. Inf. Comput. Sci. Pub Date : 2019-04-30 DOI: 10.5539/CIS.V12N2P117

H. Alkahtani

{"title":"Safeguarding the Information Systems in an Organization through Different Technologies, Policies, and Actions","authors":"H. Alkahtani","doi":"10.5539/CIS.V12N2P117","DOIUrl":"https://doi.org/10.5539/CIS.V12N2P117","url":null,"abstract":"Background: Information system use has substantially increased among the organization based on its effective integration of the resources and improved performance. The increasing reliance on the information system serves as a great security threat for the firms. Objective: The study intends to evaluate the security of the information system in the organization located in the region of Saudi Arabia, concerning the user’s awareness level. Methods: The quantitative design of the study is adopted which uses the survey approach. A close-ended questionnaire is used for evaluating the awareness level among the individuals. A total of 109 participants (males and females) in the Saudi Company were recruited for the study. Results: Despite the implementation of the policy, employees were unaware of it. The study highlights that the development of the firm’s information security policy requires the firm to make employees aware of the significance of the information security. Conclusion: The study concludes that the organization needs to educate the workforce of the information security policy and develop their necessary understanding of the information security system. This allows the employees to identify and report security threats and risks which helps in the improvement of information security awareness.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"253 1","pages":"117-125"},"PeriodicalIF":0.0,"publicationDate":"2019-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74998487","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

Opinion Spam Detection based on Annotation Extension and Neural Networks 基于标注扩展和神经网络的意见垃圾检测

J. Chem. Inf. Comput. Sci. Pub Date : 2019-04-05 DOI: 10.5539/CIS.V12N2P87

Yuanchao Liu, B. Pang

{"title":"Opinion Spam Detection based on Annotation Extension and Neural Networks","authors":"Yuanchao Liu, B. Pang","doi":"10.5539/CIS.V12N2P87","DOIUrl":"https://doi.org/10.5539/CIS.V12N2P87","url":null,"abstract":"Online reviews play an increasingly important role in the purchase decisions of potential customers. Incidentally, driven by the desire to gain profit or publicity, spammers may be hired to write fake reviews and promote or demote the reputation of products or services. Correspondingly, opinion spam detection has attracted attention from both business and research communities in recent years. However, unlike other tasks such as news classification or blog classification, the existing review spam datasets are typically limited due to the expensiveness of human annotation, which may further affect detection performance even if excellent classifiers have been developed. We propose a novel approach in this paper to boost opinion spam detection performance by fully utilizing the existing labelled small-size dataset. We first design an annotation extension scheme that uses extra tree classifiers to train multiple estimators and then iteratively generate reliable labelled samples from unlabeled ones. Subsequently, we examine neural network scenarios on a newly extended dataset to learn the distributed representation. Experimental results suggest that the proposed approach has better generalization capability and improved performance than state-of-the-art methods.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"45 1","pages":"87-"},"PeriodicalIF":0.0,"publicationDate":"2019-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82812592","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: 1

Developing a Web Credibility Evaluation Tool Using PROMETHEE Method 利用PROMETHEE方法开发网络可信度评估工具

J. Chem. Inf. Comput. Sci. Pub Date : 2019-03-25 DOI: 10.5539/cis.v12n2p46

Mona Alghamdi, Khalid Alomar

{"title":"Developing a Web Credibility Evaluation Tool Using PROMETHEE Method","authors":"Mona Alghamdi, Khalid Alomar","doi":"10.5539/cis.v12n2p46","DOIUrl":"https://doi.org/10.5539/cis.v12n2p46","url":null,"abstract":"In recent years, the Internet has become an indispensable way for users to find information which is almost instantaneously available. However, the presence of information on different websites makes the user needs to pre-check the credibility of the selected websites. Most users find it difficult to assess website credibility in terms of its particular characteristics or factors. Accordingly, we proposed an automated evaluation tool which considers various factors to assess the credibility of different websites and rank them from the highest credibility score to the lowest in order to allow the user to select the most credible website. We used the Preference Ranking Organization Method for Enrichment Evaluations (PROMOTHEE). The latter is one of the Multi-Criteria Decision Making methods (MCDM). It combines pairwise comparison and outranking methods in order to give more accurate and superior credibility scores due to its enrichment evaluations. For the proposed tool to be acceptable, we carried out a correlation analysis to determine the coefficient of correlation between human judges and the proposed tool. We found the coefficient of correlation rho is 0.943 which indicates that there is a strong correlation between the human judges’ ranking and the ranking given by the proposed website evaluation tool.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"61 8","pages":"46-57"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91473335","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

Secure Multi-User k-Means Clustering Based on Encrypted IoT Data 基于加密物联网数据的安全多用户k-均值聚类

J. Chem. Inf. Comput. Sci. Pub Date : 2019-03-25 DOI: 10.5539/cis.v12n2p35

Yanling Li, Chuansheng Wang, Qi Wang, Jieling Dai, Yushan Zhao

{"title":"Secure Multi-User k-Means Clustering Based on Encrypted IoT Data","authors":"Yanling Li, Chuansheng Wang, Qi Wang, Jieling Dai, Yushan Zhao","doi":"10.5539/cis.v12n2p35","DOIUrl":"https://doi.org/10.5539/cis.v12n2p35","url":null,"abstract":"IoT technology collects information from a lot of clients, which may relate to personal privacy. To protect the privacy, the clients would like to encrypt the raw data with their own keys before uploading. However, to make use of the information, the data mining technology with cloud computing is used for the knowledge discovery. Hence, it is an emergent issue of how to effectively performing data mining algorithm on the encrypted data. In this paper, we present a k-means clustering scheme with multi-user based on the IoT data. Although, there are many privacy-preserving k-means clustering protocols, they rarely focus on the situation of encrypting with different public keys. Besides, the existing works are inefficient and impractical. The scheme we propose in this paper not only solves the problem of evaluation on the encrypted data under different public keys but also improves the efficiency of the algorithm. It is semantic security under the semi-honest model according to our theoretical analysis. At last, we evaluate the experiment based on a real dataset, and comparing with previous works, the result shows that our scheme is more efficient and practical.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"19 1","pages":"35-45"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75591323","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

Portrait Extraction Algorithm Based on Face Detection and Image Segmentation 基于人脸检测和图像分割的人像提取算法

J. Chem. Inf. Comput. Sci. Pub Date : 2019-03-25 DOI: 10.5539/cis.v12n2p1

Chongyi Yang, Wanyu Huang, Ruoqi Zhang, Rui Kong

引用次数: 2

Multi-Channel Digital Oscilloscope Implementation over Android Device 基于Android设备的多通道数字示波器实现

J. Chem. Inf. Comput. Sci. Pub Date : 2019-03-25 DOI: 10.5539/cis.v12n2p58

Chongyi Yang, Chanpin Chen, Zhenhao Wu, Jiashun Jiang, Sicheng Su, Xue Kang, Qingping Dou

引用次数: 1

Ant Colony Optimization (ACO) Based MANET Routing Protocols: A Comprehensive Review 基于蚁群优化(ACO)的MANET路由协议:综述

J. Chem. Inf. Comput. Sci. Pub Date : 2019-01-27 DOI: 10.5539/cis.v12n1p82

A. Habboush