Privacy as part of the app decision-making process

TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones

Enck, W., Gilbert, P., Chun, B.-G., Cox, L. P., Jung, J., McDaniel, P. D., & Sheth, A. N. (2010) · doi:10.5555/1924943.1924971 · Cited by 2,259

Android permissions demystified

Felt, A. P., Chin, E., Hanna, S., Song, D. X., & Wagner, D. (2011) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2046707.2046779 · Cited by 1,305

Android permissions

Felt, A. P., Ha, E., Egelman, S., Haney, A., Chin, E., & Wagner, D. (2012) · Proceedings of the Eighth Symposium on Usable Privacy and Security · doi:10.1145/2335356.2335360 · Cited by 983

A methodology for empirical analysis of permission-based security models and its application to android

Barrera, D., Kayacık, H. G., van Oorschot, P. C., & Somayaji, A. B. (2010) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/1866307.1866317 · Cited by 485

A "nutrition label" for privacy

Kelley, P. G., Bresee, J., Cranor, L. F., & Reeder, R. W. (2009) · Symposium On Usable Privacy and Security · doi:10.1145/1572532.1572538 · Cited by 483

Untitled work

Lin (2012) · doi:10.1145/2370216.2370290 · Cited by 451

A Conundrum of Permissions: Installing Applications on an Android Smartphone

Kelley, P. G., Consolvo, S., Cranor, L. F., Jung, J., Sadeh, N., & Wetherall, D. J. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-34638-5_6 · Cited by 352

I've got 99 problems, but vibration ain't one

Felt, A. P., Egelman, S., & Wagner, D. (2012) · Security and Privacy in Smartphones and Mobile Devices · doi:10.1145/2381934.2381943 · Cited by 270

Stopping spyware at the gate

Good, N. S., Dhamija, R., Großklags, J., Thaw, D. B., Aronowitz, S., Mulligan, D. K., & Konstan, J. A. (2005) · Symposium On Usable Privacy and Security · doi:10.1145/1073001.1073006 · Cited by 133

Timing is everything?

Egelman, S., Tsai, J., Cranor, L. F., & Acquisti, A. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518752 · Cited by 120

The simpler, the better? Presenting the COPING Android permission-granting interface for better privacy-related decisions

Gerber, P., Volkamer, M., & Renaud, K. (2016) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2016.10.003 · Cited by 22

Human Values in HCI

Leitão, C. F., Maciel, C. D. O., Piccolo, L. S. G., Salgado, L. C. D. C., de Souza, P. C., Prates, R. O., Pereira, R., & Pereira, V. C. (2017) · Brazilian Symposium on Human Factors in Computing Systems (IHC) · doi:10.1145/3160504.3160565 · Cited by 20

Engagement in proactive recommendations

Rook, L., Sabic, A., & Zanker, M. (2018) · Journal of Intelligent Information Systems · doi:10.1007/s10844-018-0529-0 · Cited by 20

Privacy Itch and Scratch

Mehta, V., Bandara, A. K., Price, B. A., & Nuseibeh, B. (2016) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2851581.2892475 · Cited by 19

Reducing risk to security and privacy in the selection of trigger-action rules: Implicit vs. explicit priming for domestic smart devices

Morgan, P. L., Collins, E. I. M., Spiliotopoulos, T., Greeno, D. J., & Jones, D. M. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102902 · Cited by 18

Mobile App Installation: the Role of Precautions and Desensitization

Harris, M. A., Chin, A. G., & Brookshire, R. G. (2015) · Journal of international technology and information management · doi:10.58729/1941-6679.1052 · Cited by 19

Enhancing Trustability of Android Applications via User-Centric Flexible Permissions

Scoccia, G. L., Malavolta, I., Autili, M., Salle, A. D., & Inverardi, P. (2019) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2019.2941936 · Cited by 20

Untitled work

(2017) · doi:10.1145/3152771.3156139 · Cited by 21

Comparing Privacy Label Disclosures of Apps Published in both the App Store and Google Play Stores

Rodríguez, D., Jain, A., Álamo, J. M. D., & Sadeh, N. (2023) · IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) · doi:10.1109/eurospw59978.2023.00022 · Cited by 17

Entropy-based security risk measurement for Android mobile applications

Deypir, M. (2018) · Soft Computing · doi:10.1007/s00500-018-3377-5 · Cited by 17

Which Apps Have Privacy Policies?

Story, P., Zimmeck, S., & Sadeh, N. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-02547-2_1 · Cited by 17

Is Your Inseam a Biometric? A Case Study on the Role of Usability Studies in Developing Public Policy

Balebako, R., Shay, R., & Cranor, L. F. (2014) · Workshop on Usable Security (USEC) · doi:10.14722/usec.2014.23039 · Cited by 18

Between privacy and security: the factors that drive intentions to use cyber-security applications

Chassidim, H. S., Perentis, C., Toch, E., & Lepri, B. (2020) · Behaviour and Information Technology · doi:10.1080/0144929x.2020.1781259 · Cited by 17

The Effect of Nudges and Boosts on Browsing Privacy in a Naturalistic Environment

Ortloff, A.-M., Zimmerman, S., Elsweiler, D., & Henze, N. (2021) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3406522.3446014 · Cited by 16

Investigating Responsible Nudge Design for Informed Decision-Making Enabling Transparent and Reflective Decision-Making

Leimstädtner, D., Sörries, P., & Müller-Birn, C. (2023) · Mensch und Computer (MuC) · doi:10.1145/3603555.3603567 · Cited by 20

Matcha

Li, T., Cranor, L. F., Agarwal, Y., & Hong, J. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3643544 · Cited by 16

Privacy Analysis of Android Applications: State-of-art and Literary Assessment

Shrivastava, G., & Kumar, P. (2017) · Scalable Computing Practice and Experience · doi:10.12694/scpe.v18i3.1304 · Cited by 16

To Permit or Not to Permit, That is the Usability Question: Crowdsourcing Mobile Apps’ Privacy Permission Settings

Ismail, Q., Ahmed, T., Caine, K. E., Kapadia, A. C., & Reiter, M. K. (2017) · Proceedings on Privacy Enhancing Technologies · doi:10.1515/popets-2017-0041 · Cited by 16

The reliance on recognition and majority vote heuristics over privacy concerns when selecting smartphone apps among German and US consumers

Joeckel, S., Dogruel, L., & Bowman, N. D. (2016) · Information Communication & Society · doi:10.1080/1369118x.2016.1202299 · Cited by 20

Prominent issues for privacy establishment in privacy policies of mobile apps

Yamauchi, E. A., de Souza, P. C., & Junior, D. P. D. S. (2016) · Brazilian Symposium on Human Factors in Computing Systems (IHC) · doi:10.1145/3033701.3033727 · Cited by 14

A Large Scale Study of User Behavior, Expectations and Engagement with Android Permissions

Cao, W., Xia, C., Peddinti, S. T., Lie, D., Taft, N., & Austin, L. M. (2021) · USENIX Security Symposium · Cited by 15

Smart toys and children's privacy

Salgado, A. D. L., Dias, F. S., Mattos, J. P. R., Fortes, R. P. D. M., & Hung, P. C. K. (2019) · ACM International Conference on Design of Communication (SIGDOC) · doi:10.1145/3328020.3353951 · Cited by 14

Reasoning about privacy in mobile application install decisions: Risk perception and framing

Tay, S. W., Teh, P. S., & Payne, S. J. (2020) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2020.102517 · Cited by 15

Visualizing Privacy Risks of Mobile Applications through a Privacy Meter

Kang, J.-A., Kim, H., Cheong, Y. G., & Huh, J. H. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-17533-1_37 · Cited by 16

Instance based security risk value estimation for Android applications

Deypir, M., & Horri, A. (2018) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2018.02.002 · Cited by 16

Do Privacy Labels Answer Users' Privacy Questions?

Zhang, S., & Sadeh, N. (2023) · Workshop on Usable Security (USEC) · doi:10.14722/usec.2023.232482 · Cited by 14

How Much Privilege Does an App Need? Investigating Resource Usage of Android Apps (Short Paper)

Momen, N., Pulls, T., Fritsch, L., & Lindskog, S. (2017) · Conference on Privacy, Security and Trust · doi:10.1109/pst.2017.00039 · Cited by 14

PVDetector

Slavin, R., Wang, X., Hosseini, M. B., Hester, J., Krishnan, R., Bhatia, J., Breaux, T. D., & Niu, J. (2016) · IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft) · doi:10.1145/2897073.2897720 · Cited by 14

Assessment of Cybersecurity Knowledge and Behavior: An Anti-phishing Scenario

Wang, P. A. (2013) · International Conference on Internet Monitoring and Protection · Cited by 14

PrivacyProxy: Leveraging Crowdsourcing and In Situ Traffic Analysis to Detect and Mitigate Information LeakagePreprint

Srivastava, G., Bhuwalka, K., Sahoo, S. K., Chitkara, S., Ku, K., Fredrikson, M., Hong, J., & Agarwal, Y. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1708.06384 · Cited by 14

Classification of Research Citations (CRC)Preprint

Butt, B. H., Rafi, M., Jamal, A., Rehman, R. S. U., Alam, S. M. Z., & Alam, M. B. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1506.08966 · Cited by 14

Data Safety vs. App Privacy: Comparing the Usability of Android and iOS Privacy Labels

Lin, Y., Juneja, J., Birrell, E., & Cranor, L. F. (2024) · Proceedings on Privacy Enhancing Technologies · doi:10.56553/popets-2024-0047 · Cited by 30

Android apps consistency scrutinized

Alharbi, K., Blackshear, S., Kowalczyk, E., Memon, A. M., Chang, B.-Y. E., & YEH, T. P. (2014) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2559206.2581352 · Cited by 13

Better Privacy Indicators: A New Approach to Quantification of Privacy Policies

Alohaly, M., & Takabi, H. (2016) · Symposium On Usable Privacy and Security · Cited by 13

Is Your Inseam a Biometric? Evaluating the Understandability of Mobile Privacy Notice Categories

Balebako, R., Shay, R., & Cranor, L. F. (2013) · Cited by 13

SpyAware: Investigating the privacy leakage signatures in app execution traces

Xu, H., Zhou, Y., Gao, C., Kang, Y., & Lyu, M. R.-T. (2015) · Proceedings/Proceedings - International Symposium on Software Reliability Engineering · doi:10.1109/issre.2015.7381828 · Cited by 13

Towards Understanding the Influence of Personality on Mobile App Permission Settings

Raber, F., & Krueger, A. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-68059-0_4 · Cited by 15

User interface design for privacy awareness in eHealth technologies

Wagner, I., He, Y., Rosenberg, D., & Janicke, H. (2016) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc.2016.7444728 · Cited by 13

Mobile-app privacy nutrition labels missing key ingredients for success

Cranor, L. F. (2022) · Communications of the ACM · doi:10.1145/3563967 · Cited by 12

Data Protection at a Discount: Investigating the UX of Data Protection from User, Designer, and Business Leader Perspectives

Chalhoub, G., & Fléchais, I. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555537 · Cited by 12

HCI in Business: A Collaboration with Academia in IoT Privacy

Chow, R., Egelman, S., Kannavara, R., Lee, H., Misra, S., & Wang, E. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20895-4_63 · Cited by 12

User-friendly yet rarely read: A case study on the redesign of an online HIPAA authorization

Pearman, S., Young, E., & Cranor, L. F. (2022) · Proceedings on Privacy Enhancing Technologies · doi:10.56553/popets-2022-0086 · Cited by 12

Introducing Privacy Threats from Ad Libraries to Android Users Through Privacy Granules

Paturi, A., Kelley, P. G., & Mazumdar, S. (2015) · Workshop on Usable Security (USEC) · doi:10.14722/usec.2015.23008 · Cited by 12

Sharing is Not Always Caring: Delving Into Personal Data Transfer Compliance in Android Apps

Rodríguez, D., Álamo, J. M. D., Fernández-Aller, C., & Sadeh, N. (2024) · IEEE Access · doi:10.1109/access.2024.3349425 · Cited by 16

Risk Identification of Personally Identifiable Information from Collective Mobile App Data

Onik, M. M. H., Al-Zaben, N., Yang, J., Lee, N. Y., & Kim, C. (2018) · International Conference on Computing, Electronics & Communications Engineering (iCCECE) · doi:10.1109/iccecome.2018.8659213 · Cited by 11

“Secure settings are quick and easy!” – Motivating End-Users to Choose Secure Smart Home Configurations

Prange, S., Thiem, N., Fröhlich, M., & Alt, F. (2022) · International Conference on Advanced Visual Interfaces (AVI) · doi:10.1145/3531073.3531089 · Cited by 11

Factors Affecting Individuals’ Behavioral Intention to Use Online Capital Market Investment Platforms in Indonesia

Nainggolan, C., & Handayani, P. W. (2023) · Interdisciplinary Journal of Information Knowledge and Management · doi:10.28945/5067 · Cited by 15

Interactive Privacy Management: Toward Enhancing Privacy Awareness and Control in the Internet of Things

Muhander, B. A., Wiese, J., RANA, O. F., & Perera, C. (2023) · ACM Transactions on Internet of Things · doi:10.1145/3600096 · Cited by 11

Privacy at a Glance: The User-Centric Design of Glanceable Data Exposure Visualizations

Wilkinson, D., Bahirat, P., Namara, M., Lyu, J., Alsubhi, A., Qiu, J. X., Wiśniewski, P., & Knijnenburg, B. P. (2020) · Proceedings on Privacy Enhancing Technologies · doi:10.2478/popets-2020-0034 · Cited by 11

Accept - Maybe - Decline

Momen, N., Bock, S., & Fritsch, L. (2020) · ACM Symposium on Access Control Models and Technologies (SACMAT) · doi:10.1145/3381991.3395603 · Cited by 11

Display of major risk categories for android apps.

Chen, J., Ge, H., Moore, S. R., Yang, W., Li, N., & Proctor, R. W. (2018) · Journal of Experimental Psychology Applied · doi:10.1037/xap0000163 · Cited by 12

Nudges for Privacy and Security: Understanding and Assisting Userss Choices OnlinePreprint

Acquisti, A., Adjerid, I., Balebako, R., Brandimarte, L., Cranor, L. F., Komanduri, S., Leon, P. G., Sadeh, N., Schaub, F., Sleeper, M., et al. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2859227 · Cited by 17

“Your Protection is in Your Hands Only”: User Awareness and Adoption of Privacy and Security Practices in Five Majority World Countries

Umbach, R., Singh, A., & Walker, A. M. (2023) · Journal of Online Trust and Safety · doi:10.54501/jots.v2i1.114 · Cited by 12

Analyzing Android App Privacy With GP-PP Model

Kesswani, N., Lyu, H., & Zhang, Z. (2018) · IEEE Access · doi:10.1109/access.2018.2850060 · Cited by 10

A Skewness-Based Framework for Mobile App Permission Recommendation and Risk Evaluation

Huang, K., Han, J., Chen, S., & Feng, Z. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46295-0_16 · Cited by 11

Informing California privacy regulations with evidence from research

Cranor, L. F. (2021) · Communications of the ACM · doi:10.1145/3447253 · Cited by 10

Android Permission Manager, Visual Cues, and their Effect on Privacy Awareness and Privacy Literacy

Schmitt, V., Poikela, M. E., & Möller, S. (2022) · International Conference on Availability, Reliability and Security (ARES) · doi:10.1145/3538969.3543790 · Cited by 10

Comparing Privacy Labels of Applications in Android and iOS

Khandelwal, R., Nayak, A., Chung, P. M., & Fawaz, K. (2023) · Workshop on Privacy in the Electronic Society · doi:10.1145/3603216.3624967 · Cited by 9

Framing of Summary Risk/Safety Information and App Selection

Chen, J., Gates, C. S., Proctor, R. W., & Li, N. (2014) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931214581305 · Cited by 9

User attitudes and behaviors toward personalized control of privacy settings on smartphones

Zhou, Y., Qi, L., Raake, A., Xu, T., Piekarska, M., & Zhang, X. (2018) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.4884 · Cited by 9

A preliminary investigation of gamification from the young consumer’s perspective

Hass, D., Hass, A., & Joseph, M. (2021) · Young Consumers Insight and Ideas for Responsible Marketers · doi:10.1108/yc-10-2020-1221 · Cited by 10

I do. Do I? – Understanding User Perspectives on the Privacy Paradox

Jung, F., von Holdt, K., Krüger, R., Meyer, J., & Heuten, W. (2022) · International Academic Mindtrek Conference (Mindtrek) · doi:10.1145/3569219.3569358 · Cited by 9

Visualizing Risk by Example: Demonstrating Threats Arising From Android Apps

Hettig, M., Kiss, E., Weber, S. M., Harbach, M., & Smith, M. (2013) · Cited by 9

Quality of Private Information (QoPI) model for effective representation and prediction of privacy controls in mobile computing

Kim, S.-H., Ko, I., & Kim, S. (2017) · Computers & Security · doi:10.1016/j.cose.2017.01.002 · Cited by 10

My Bank Already Gets this Data

Binns, R., Zhao, J., Kleek, M. G. V., Shadbolt, N., Liccardi, I., & Weitzner, D. J. (2017) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3027063.3053255 · Cited by 9

A Two-Pillar Approach to Analyze the Privacy Policies and Resource Access Behaviors of Mobile Augmented Reality Applications

Harborth, D., Hatamian, M., Tesfay, W. B., & Rannenberg, K. (2019) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2019.604 · Cited by 9

Does This App Respect My Privacy? Design and Evaluation of Information Materials Supporting Privacy-Related Decisions of Smartphone Users

Kulyk, O., Gerber, P., Marky, K., Beckmann, C., & Volkamer, M. (2019) · Workshop on Usable Security (USEC) · doi:10.14722/usec.2019.23029 · Cited by 9

"If You Can't Beat them, Join them"

Harkous, H., & Aberer, K. (2017) · ACM Conference on Data and Application Security and Privacy (CODASPY) · doi:10.1145/3029806.3029837 · Cited by 9

Processing privacy information and decision-making for smartphone apps among young German smartphone users

Henke, J., Joeckel, S., & Dogruel, L. (2018) · Behaviour and Information Technology · doi:10.1080/0144929x.2018.1458902 · Cited by 11

Privacy Is the Price: Player Views and Technical Evaluation of Data Practices in Online Games

Bourdoucen, A., Nurgalieva, L., & Lindqvist, J. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3611064 · Cited by 15

Users’ Perceived Control, Trust and Expectation on Privacy Settings of Smartphone

Zhou, Y., Raake, A., Xu, T., & Zhang, X. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-69471-9_31 · Cited by 8

Privacy at a Glance: A Process to Learn Modular Privacy Icons During Web Browsing

Windl, M., Ortloff, A.-M., Henze, N., & Schwind, V. (2022) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3498366.3505813 · Cited by 8

Visual Configuration of Mobile Privacy Policies

Aydin, A., Piorkowski, D., Tripp, O., Ferrara, P., & Pistoia, M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-662-54494-5_19 · Cited by 8

A Value-centered Exploration of Data Privacy and Personalized Privacy Assistants

Carter, S. E. (2022) · Digital Society · doi:10.1007/s44206-022-00028-w · Cited by 8

Two Novel Defenses against Motion-Based Keystroke Inference AttacksPreprint

Song, Y., Kukreti, M., Rawat, R., & Hengartner, U. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1410.7746 · Cited by 10

Nudging purchase intention towards more secure domestic IoT: The effect of label features and psychological mechanisms

Walterscheid, M., Huijts, N. M. A., & van Sintemaartensdijk, I. (2024) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2024.100386 · Cited by 7

Information Asymmetry Meets Data Security: The Lemons Market for Smartphone Apps

Smith, M. W. (2019) · Policy Perspectives · doi:10.4079/pp.v26i0.19289 · Cited by 7

Decision Support for Mobile App Selection via Automated Privacy Assessment

Wettlaufer, J., & Simo, H. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-42504-3_19 · Cited by 7

Investigating Simple Privacy Indicators for Supporting Users when Installing New Mobile Apps

Stöver, A., Gerber, N., Kaushik, S., Mühlhäuser, M., & Marky, K. (2021) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3411763.3451791 · Cited by 8

Dynamic Consent for Sensor-Driven Research

Lee, H., & Lee, U. (2021) · International Conference on Mobile Computing and Ubiquitous Network (ICMU) · doi:10.23919/icmu50196.2021.9638790 · Cited by 7

An Inquiry into Perception and Usage of Smartphone Permission Models

Reinfelder, L., Schankin, A., Russ, S., & Benenson, Z. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-98385-1_2 · Cited by 7

Make my Phone Secure!

Bahrini, M., Volkmar, G., Schmutte, J., Wenig, N., Sohr, K., & Malaka, R. (2019) · Mensch und Computer (MuC) · doi:10.1145/3340764.3340775 · Cited by 8

Privacy paradox stems from overconfidence: a study of users’ privacy disclosure in online knowledge communities

Jiaxuan, L., Zhenyan, L., Jiewang, C., & Wang, Y. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2438789 · Cited by 9

Jointly Achieving Smart Homes Security and Privacy through Bidirectional Trust

Abul, O., & Bilgen, M. B. (2025) · EURASIP Journal on Information Security · doi:10.1186/s13635-025-00199-2 · Cited by 6

UNDERSTANDING PRIVACY PARADOX: AN EXPERIMENTAL APPROACH TO STUDY PRIVACY CONCERNS AND ACTUAL DISCLOSURE AMONG APP USERS

Chhabra, S., Mukherjee, J., & Agarwal, M. N. (2023) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2023.2251328 · Cited by 9

The Impact s of Requested Permission on Mobile App Adoption: The Insights Based on an Experiment in Taiwan

Lai, H., Hsu, J. S., & Wu, M.-X. (2018) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2018.490 · Cited by 6

A Study on How Users Choose Apps

Alhejaili, A., & Blustein, J. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05412-9_1 · Cited by 7

A Context-aware Adaptive Security Framework for Mobile Applications

Mowafi, Y., Abou-Tair, D. E. D. I., Al-Aqarbeh, T., Abilov, M., Dmitriyev, V., & Gómez, J. M. (2014) · Carl von Ossiezky University of Oldenburg · doi:10.5555/2762722.2762750 · Cited by 6

PrivacyZone: A Novel Approach to Protecting Location Privacy of Mobile Users

Yigitoglu, E., Gürsoy, M. E., Liu, L., Loper, M. L., Bamba, B., & Lee, K. (2018) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata.2018.8622350 · Cited by 6

Ubiquitous Privacy

Yao, Y., Wong, R. Y., Emami-Naeini, P., Merrill, N., Page, X., Wang, Y., & Wiśniewski, P. (2019) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3311957.3359430 · Cited by 6

Can You Hear Me Now? Audio and Visual Interactions That Change App Choices

Gopavaram, S. R., Bhide, O., & Camp, L. J. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.02227 · Cited by 6

PERMITME

Bello‐Ogunu, E., & Shehab, M. (2014) · doi:10.1145/2688130.2688135 · Cited by 6

Android App Permission and Users’ Adoption: A Case Study of Mental Health Application

Huang, H., & Bashir, M. N. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-58460-7_8 · Cited by 7

Do Android App Developers Accurately Report Collection of Privacy-Related Data?

Khedkar, M., Mondal, A. K., & Bodden, E. (2024) · IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) · doi:10.1145/3691621.3694949 · Cited by 5

Smartphone Privacy in Mobile Computing: Issues, Methods and Systems

Liu, R., Cao, J., & Yang, L. (2015) · PolyU Institutional Research Archive (Hong Kong Polytechnic University) · doi:10.11185/imt.10.281 · Cited by 5

Effects of Privacy Permissions on User Choices in Voice Assistant App Stores

Liu, G., & Malkin, N. (2022) · Proceedings on Privacy Enhancing Technologies · doi:10.56553/popets-2022-0116 · Cited by 6

How Students’ Information Sensitivity, Privacy Trade-Offs, and Stages of Customer Journey Affect Consent to Utilize Personal Data

Alamäki, A. V., Mäki, M., & Kauttonen, J. (2023) · Interdisciplinary Journal of Information Knowledge and Management · doi:10.28945/5098 · Cited by 7

Privacy-Aware Decision Making: The Effect of Privacy Nudges on Privacy Awareness and the Monetary Assessment of Personal Information

Schmitt, V., Nicholson, J., & Möller, S. (2024) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2024.0150303 · Cited by 6

Lessening the Burden of Individualized Responsibility in the Socio-Technical World

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