2017 International Carnahan Conference on Security Technology (ICCST)最新文献_第8页

Environmental effects on face recognition in smartphones 环境对智能手机人脸识别的影响

2017 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2017-10-01 DOI: 10.1109/CCST.2017.8167825

Chiara Lunerti, R. Guest, Ramón Blanco-Gonzalo, R. Sánchez-Reillo, Jon Baker

{"title":"Environmental effects on face recognition in smartphones","authors":"Chiara Lunerti, R. Guest, Ramón Blanco-Gonzalo, R. Sánchez-Reillo, Jon Baker","doi":"10.1109/CCST.2017.8167825","DOIUrl":"https://doi.org/10.1109/CCST.2017.8167825","url":null,"abstract":"Face recognition is convenient for user authentication on smartphones as it offers several advantages suitable for mobile environments. There is no need to remember a numeric code or password or carry tokens. Face verification allows the unlocking of the smartphone, pay bills or check emails through looking at the smartphone. However, devices mobility also introduces a lot of factors that may influence the biometric performance mainly regarding interaction and environment. Scenarios can vary significantly as there is no control of the surroundings. Noise can be caused by other people appearing on the background, by different illumination conditions, by different users' poses and through many other reasons. User-interaction with biometric systems is fundamental: bad experiences may derive to unwillingness to use the technology. But how does the environment influence the quality of facial images? And does it influence the user experience with face recognition? In order to answer these questions, our research investigates the user-biometric system interaction from a non-traditional point of view: we recreate real-life scenarios to test which factors influence the image quality in face recognition and, quantifiably, to what extent. Results indicate the variability in face recognition performance when varying environmental conditions using smartphones.","PeriodicalId":371622,"journal":{"name":"2017 International Carnahan Conference on Security Technology (ICCST)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125984978","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: 6

One leak will sink a ship: WebRTC IP address leaks 一个泄漏会击沉一艘船:WebRTC IP地址泄漏

2017 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2017-09-15 DOI: 10.1109/CCST.2017.8167801

Nasser Mohammed Al-Fannah

{"title":"One leak will sink a ship: WebRTC IP address leaks","authors":"Nasser Mohammed Al-Fannah","doi":"10.1109/CCST.2017.8167801","DOIUrl":"https://doi.org/10.1109/CCST.2017.8167801","url":null,"abstract":"The introduction of the WebRTC API to modern browsers has brought about a new threat to user privacy. WebRTC is a set of communications protocols and APIs that provides browsers and mobile applications with Real-Time Communications (RTC) capabilities over peer-to-peer connections. The WebRTC API causes a range of client IP addresses to become available to a visited website via JavaScript, even if a VPN is in use. This is informally known as a WebRTC Leak, and is a potentially serious problem for users using VPN services for anonymity. The IP addresses that could leak include the client public IPv6 address and the private (or local) IP address. The disclosure of such IP addresses, despite the use of a VPN connection, could reveal the identity of the client as well as enable client tracking across websites. To better understand the magnitude of this issue, we performed experiments with the five most widely used WebRTC-enabled browsers, i.e. Chrome, Firefox, Opera, Edge and Safari. We tested each of them with five widely used commercial VPN services in order to discover which client IP addresses can be revealed. Our experiments employed a specially established website which downloaded a slightly modified version of publicly available JavaScript to the client under test. The script fetches IP addresses made available via the browser WebRTC functionality. In most cases, at least one of the client IP addresses is leaked. Edge was the most seriously affected by WebRTC leaks, whereas Safari leaked no addresses at all. Our experiments revealed that the number and type of leaked IP addresses are affected by the choice of browser as well as the VPN service and program settings. We conclude the paper by proposing countermeasures that can be used to help mitigate this problem.","PeriodicalId":371622,"journal":{"name":"2017 International Carnahan Conference on Security Technology (ICCST)","volume":"os-5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127759979","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: 19

Process monitoring on sequences of system call count vectors 系统调用计数向量序列的过程监控

2017 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2017-07-12 DOI: 10.1109/CCST.2017.8167792

M. Dymshits, Benjamin Myara, David Tolpin

引用次数: 15

AutoPass: An automatic password generator 自动通证:自动密码生成器

2017 International Carnahan Conference on Security Technology (ICCST) Pub Date : 2017-03-06 DOI: 10.1109/CCST.2017.8167791

Fatma Al Maqbali, C. Mitchell

引用次数: 11