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Md. Sadek Ferdous & Ron Poet

Software Engineering and Information Security (SET) Group, School of Computing Science, University of Glasgow.

Email:m.ferdous.1@research.gla.ac.uk, ron@dcs.gla.ac.uk

Methodology

U/P SAML BrowserID OpenID

1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 Portrait F A D O F A D O A F D X F A D O Landscape F A D O F A D O A D F X F A D O

1. Choose phone

& orientation

2. Run

PowerTutor app in background

3. Invoke a browser

4. Access a service

5. Invoke PowerTutor app

6. Record power consumption

Two Smartphones

HTC Hero SGS II

Two Orientations

Portrait Landscape

PowerTutor App allows to record accurate, real-time power consumption estimates by different apps while running in background

Four Browsers

Android Firefox Dolphin Opera

Each of following systems protected two web services, each with three web pages.

Each service was accessed with username/password saved and username/password not saved.

Username/

Password OpenID BrowserID & SAML

U/P SAML OpenID

1 2 3 1 2 3 1 2 3

Portrait A D O A D O A D O

Landscape A D O A D O A D O

1 2 3 4

Portrait with password not saved S U/P Op B

Portrait with password saved U/P S B Op

Landscape with password not saved S U/P Op B

Landscape with password saved U/P S B Op

1 2 3

Portrait with password not saved S U/P Op

Portrait with password saved S U/P Op

Landscape with password not saved S U/P Op

Landscape with password saved U/P S Op

Motivation

Results-1

Results-2

Results-3 Discussion

Conclusion

 Nowadays, Smartphones have almost ubiquitous presence.

 They have powerful h/w: Quad/dual core processors, massive memory &

highly interactive touch screen.

 They are equipped with highly-dynamic Operating Systems and intuitive user interfaces.

 They are increasingly being used to access critical and multi-modal online services.

 Here, we present our analysis on power consumption of two smartphones while accessing such services.

Introduction

Different online services are protected by different Identity Management (IdM) systems which use different architectures

& protocols.

In this experiment, we analysed the power consumption of these systems when accessed with two smartphones: HTC Hero & SAMSUNG Galaxy S2 (SGSII).

The services were protected by four systems: username/password, OpenID, SAML & BrowserID and were accessed using four browsers (Android, Firefox, Dolphin HD and Opera Mobile).

An app, called PowerTutor, was used to record power consumption in real-time.

 Certain browsers are likely to consume more power than other browsers when used in the same settings to access the same service.

 On the other hand, the same services provided by different Identity Management Systems are also likely to have their own impact on the power consumption of a browser.

 It was difficult to collect power data due to the volatility of readings in the PowerTutor app. A built-in facility in the Mobile OS can do this job more efficiently.

 Depending on browsers, power consumption varied a lot. Firefox was the most economical in SGSII, other places were taken by Android, Dolphin and Opera respectively in both phones.

 In SGSII, SAML was the most economical when the password was not saved while U/P was the most economical when the password was saved.

 In HTC Hero, SAML was the most economical in all modes except in landscape with password saved where U/P was the most economical.

Comparison of different systems in portrait mode with password not saved in SGSII (Top) and Hero

(Bottom).

Legends: A → Android, F → Firefox, D → Dolphin, O → Opera, X → No Data

Relative ranking of browsers in SGSII (Top) and Hero (Bottom). 1 represents the least power consumption &

4 represents the most power consumption.

Legends: U/P → Username/Password, S → SAML, Op → OpenID, B → BrowserID

Relative ranking of IdM Systems in SGSII (Top) & Hero (Bottom). 1 represents the least power consumption &

4 represents the most power consumption.

Referências

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