Researches of information security on mobile phones for non-technical people using psychology and behavior
Project/Area Number |
26870660
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Web informatics, Service informatics
Information security
|
Research Institution | Tokyo University of Technology |
Principal Investigator |
UDA Ryuya 東京工科大学, コンピュータサイエンス学部, 講師 (50350509)
|
Project Period (FY) |
2014-04-01 – 2018-03-31
|
Project Status |
Completed (Fiscal Year 2017)
|
Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
Keywords | 専門的知識を有しない利用者へのセキュリティ技術 / スマートフォンのセキュリティ / 情報セキュリティ / 個人情報保護 / 個人識別 / バイオメトリクス / セキュリティ強化 |
Outline of Final Research Achievements |
The aim of this project is to provide new technological secure methods for smartphone users who are not unfamiliar with information literacy. The most significant output is a method for enhancing security of inputting password on smartphones. Password identification on smartphones is enhanced by personal characteristics on flick inputs. The method requires no additional special device or special training for security. In addition, there are some more outputs which are a file access control method on virtual OS, a method for finding vulnerable web sites and a deterrence method of walking while on the phone. As a result, we found that deep learning was effective for the automatic classification of web site and deterrence was more effective than prevention for stopping walking while on the phone, while implementation on virtual OS was difficult.
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Report
(5 results)
Research Products
(14 results)