2017 8th International Conference on Information and Communication Systems (ICICS)最新文献_第6页

Automated malicious advertisement detection using VirusTotal, URLVoid, and TrendMicro 自动恶意广告检测使用VirusTotal, URLVoid和趋势科技

2017 8th International Conference on Information and Communication Systems (ICICS) Pub Date : 2017-04-01 DOI: 10.1109/IACS.2017.7921994

Rima Masri, M. Aldwairi

{"title":"Automated malicious advertisement detection using VirusTotal, URLVoid, and TrendMicro","authors":"Rima Masri, M. Aldwairi","doi":"10.1109/IACS.2017.7921994","DOIUrl":"https://doi.org/10.1109/IACS.2017.7921994","url":null,"abstract":"The Internet economy is based on free access to content in exchange of viewing advertisements that might lead to online purchases. Advertisements represent an important source of revenue to Advertising companies. Those companies employ every possible technique and trick to maximize clicks and visits to advertisers' websites. Modern websites exchange advertisement contents from ads' providers (such as Google AdSense), which means they do not control the contents of those advertisements. Although large providers such as Google and Yahoo! are supposed to be trustworthy, ad arbitration allows them to auction of those ad slots to other providers. Therefore, web administrators cannot guarantee the source of the ads on their delegated website areas. Those advertisements contain Javascript and may redirect to malicious websites which might lead to malicious code being executed or malware being installed. This paper proposes and implements a system for automatically detecting malicious advertisements. It employs three different online malware domain detections systems (VirusTotal, URLVoid, and TrendMicro) for malicious advertisements detection purposes and reports the number of detected malicious advertisements using each system. In addition, we study the efficiency of each system by calculating the confusion matrix and accuracy. We find that URLVoid is the best in terms of accuracy (73%) because it uses a combination of well known website scanners and domain blacklists.","PeriodicalId":180504,"journal":{"name":"2017 8th International Conference on Information and Communication Systems (ICICS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117306694","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: 34

A secure hiding scheme for tamper-proofing and authentication of color biometrie templates 一种用于彩色生物特征模板防篡改和认证的安全隐藏方案

2017 8th International Conference on Information and Communication Systems (ICICS) Pub Date : 2017-04-01 DOI: 10.1109/IACS.2017.7921961

Eyad Ben Tarif, S. Wibowo, S. Wasimi, Afaf Tareef, Abedalraheem Tareaf

引用次数: 0

Security behaviors of healthcare providers using HIT outside of work: A technology threat avoidance perspective 医疗保健提供者在工作之外使用HIT的安全行为:技术威胁避免的视角

2017 8th International Conference on Information and Communication Systems (ICICS) Pub Date : 2017-04-01 DOI: 10.1109/IACS.2017.7921995

Bahae Samhan

引用次数: 12

Spam profile detection in social networks based on public features 基于公共特征的社交网络垃圾信息检测

2017 8th International Conference on Information and Communication Systems (ICICS) Pub Date : 2017-04-01 DOI: 10.1109/IACS.2017.7921959

Ala’ M. Al-Zoubi, Ja'far Alqatawna, Hossam Paris

{"title":"Spam profile detection in social networks based on public features","authors":"Ala’ M. Al-Zoubi, Ja'far Alqatawna, Hossam Paris","doi":"10.1109/IACS.2017.7921959","DOIUrl":"https://doi.org/10.1109/IACS.2017.7921959","url":null,"abstract":"In the context of Online Social Networks, Spam profiles are not just a source of unwanted ads, but a serious security threat used by online criminals and terrorists for various malicious purposes. Recently, such criminals were able to steal a number of accounts that belong to NatWest bank's customers. Their attack vector was based on spam tweets posted by a Twitter account which looked very close to NatWest customer support account and leaded users to a link of a phishing site. In this study, we investigate the nature of spam profiles in Twitter with a goal to improve social spam detection. Based on a set of publicly available features, we develop spam profiles detection models. At this stage, a dataset of 82 Twitter's profiles are collected and analyzed. With feature engineering, we investigate ten binary and simple features that can be used to classify spam profiles. Moreover, a feature selection process is utilized to identify the most influencing features in the process of detecting spam profiles. For feature selection, two methods are used ReliefF and Information Gain. While for classification, four classification algorithms are applied and compared: Decision Trees, Multilayer Perceptron, k-Nearest neighbors and Naive Bayes. Preliminary experiments in this work show that the promising detection rates can be obtained using such features regardless of the language of the tweets.","PeriodicalId":180504,"journal":{"name":"2017 8th International Conference on Information and Communication Systems (ICICS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114851594","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: 59

Dealing with decisional natural language why-question in business intelligence 商业智能中决策性自然语言“为什么”问题的处理

2017 8th International Conference on Information and Communication Systems (ICICS) Pub Date : 2017-04-01 DOI: 10.1109/IACS.2017.7921945

Meriem Amel Guessoum, Rahma Djiroun, K. Boukhalfa

引用次数: 4

Early diagnosis of Alzheimer using mini mental state examination method: MMSE 微型精神状态检查方法早期诊断阿尔茨海默病:MMSE

2017 8th International Conference on Information and Communication Systems (ICICS) Pub Date : 2017-04-01 DOI: 10.1109/IACS.2017.7921958

Dong Chen, A. Alsadoon, P. Prasad, A. Elchouemi

引用次数: 2

Using delay tolerant network for the Internet of Things: Opportunities and challenges 在物联网中使用容延迟网络:机遇与挑战

2017 8th International Conference on Information and Communication Systems (ICICS) Pub Date : 2017-04-01 DOI: 10.1109/IACS.2017.7921980

Fatima-Zohra Benhamida, A. Bouabdellah, Y. Challal

引用次数: 33

Evaluating Jordanian universities' websites based on data envelopment analysis 基于数据包络分析的约旦大学网站评价

2017 8th International Conference on Information and Communication Systems (ICICS) Pub Date : 2017-04-01 DOI: 10.1109/IACS.2017.7921964

Hassan M. Najadat, A. Al-Badarneh, Rasha K. Al-Huthaifi, Assia Abo-Zaitoon, Yasmin Al-Omary

{"title":"Evaluating Jordanian universities' websites based on data envelopment analysis","authors":"Hassan M. Najadat, A. Al-Badarneh, Rasha K. Al-Huthaifi, Assia Abo-Zaitoon, Yasmin Al-Omary","doi":"10.1109/IACS.2017.7921964","DOIUrl":"https://doi.org/10.1109/IACS.2017.7921964","url":null,"abstract":"Websites of universities have become vital in evaluating universities' performance. These websites may face some weaknesses, including poor design, insecure system, bad performance or usability. There is a limited research work that evaluates the universities' websites performance. In this paper, a new approach is proposed in order to evaluate the Jordanian universities based on data envelopment analysis. The dataset is collected from 23 Jordanian universities' websites by using four tools to extract a set of vital features from each website. We applied data envelopment analysis to provide decision makers of universities a plan to improve the websites. In this paper, the websites' efficiencies are evaluated in three viewpoints including usability, design, and performance. The results of the usability show that 18 websites are usable while 5 websites are not usable, while the results of the design show that only 7 websites have good design. Finally, the websites' performances are classified into efficient or inefficient. The result shows that among 23 universities, there are 4 websites are rated as efficient and 19 sites are rated as inefficient.","PeriodicalId":180504,"journal":{"name":"2017 8th International Conference on Information and Communication Systems (ICICS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115925774","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

Defense against impersonating attackers: An efficient RFID mutual authentication protocol based on standard 防范假冒攻击者:一种基于标准的高效RFID互认证协议

2017 8th International Conference on Information and Communication Systems (ICICS) Pub Date : 2017-04-01 DOI: 10.1109/IACS.2017.7921977

Shiqi Wang, Linsen Li, Gaosheng Chen, Tao Chen, Zeming Wang

{"title":"Defense against impersonating attackers: An efficient RFID mutual authentication protocol based on standard","authors":"Shiqi Wang, Linsen Li, Gaosheng Chen, Tao Chen, Zeming Wang","doi":"10.1109/IACS.2017.7921977","DOIUrl":"https://doi.org/10.1109/IACS.2017.7921977","url":null,"abstract":"As the RFID based Internet of Things (loT) gets worldwide attention, to prepare for the rapidly increasing applications in daily life, various security protocols are proposed. But, these protocols, most of which are limited by the tag processing capacity and dangerous exposure during transmission, could only be applied in certain fields. Previously, Chen and Deng's mutual authentication and privacy protection protocol which conforming EPC Class 1 Generation 2 Standards stands out for low cost as well as little requirements of the tag processing capacity. However, currently reported by others, this system faces up with severe dangers of tracking or cloning tags via impersonating attacks. After scrutiny, we found out that these vulnerabilities lie in the insufficient protections of random numbers, and we reconstruct the request and response based on the original protocol by making message unrepeatable, key elements secret and adding small storage for comparisons. The security of our protocol, proved by Ban logic analysis, is ensured by double protections — secret key pairs and dynamic random numbers. Our comparisons show that our protocol not only is safe under traditional attacks guaranteed by the original protocol but also overcomes impersonating attacks which represents the inherent weakness of information exposure in public.","PeriodicalId":180504,"journal":{"name":"2017 8th International Conference on Information and Communication Systems (ICICS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123760539","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

Gesture recognition implemented on a personal limited device 手势识别实现在个人有限的设备

2017 8th International Conference on Information and Communication Systems (ICICS) Pub Date : 2017-04-01 DOI: 10.1109/IACS.2017.7921966

Benoit Ducray, Sheila Cobourne, K. Mayes, K. Markantonakis

引用次数: 1