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- Research Collection School Of Computing and Information Systems (5)
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Articles 1 - 20 of 20
Full-Text Articles in Physical Sciences and Mathematics
Secure Smart Health With Privacy-Aware Aggregate Authentication And Access Control In Internet Of Things, Yinghui Zhang, Robert H. Deng, Gang Han, Dong Zheng
Secure Smart Health With Privacy-Aware Aggregate Authentication And Access Control In Internet Of Things, Yinghui Zhang, Robert H. Deng, Gang Han, Dong Zheng
Research Collection School Of Computing and Information Systems
With the rapid technological advancements in the Internet of Things (IoT), wireless communication and cloud computing, smart health is expected to enable comprehensive and qualified healthcare services. It is important to ensure security and efficiency in smart health. However, existing smart health systems still have challenging issues, such as aggregate authentication, fine-grained access control and privacy protection. In this paper, we address these issues by introducing SSH, a Secure Smart Health system with privacy-aware aggregate authentication and access control in IoT. In SSH, privacy-aware aggregate authentication is enabled by an anonymous certificateless aggregate signature scheme, in which users' identity information …
Healthcare Monitoring System Security Platform Using Software Defined Networking Paradigm, Mohamad Issam Khayat
Healthcare Monitoring System Security Platform Using Software Defined Networking Paradigm, Mohamad Issam Khayat
Information Security Theses
This thesis studies the security and privacy concerns of Healthcare Monitoring System (HMS) and proposes a state-of-the-art Security Platform for HMS using the newly emerging Software Defined Network (SDN) paradigm. In this thesis, we investigate the existing HMS architecture and the relevant solutions proposed for both security and privacy concerns in the literature today. Moreover, we develop a new HMS Security Integration Framework, in the form of a security platform for securing HMS. Finally, we perform a comparison among existing architectures and our proposed framework to highlight the added value of our proposed architecture. Our proposed integration framework eliminates the …
Vpsearch: Achieving Verifiability For Privacy-Preserving Multi-Keyword Search Over Encrypted Cloud Data, Zhiguo Wan, Robert H. Deng
Vpsearch: Achieving Verifiability For Privacy-Preserving Multi-Keyword Search Over Encrypted Cloud Data, Zhiguo Wan, Robert H. Deng
Research Collection School Of Computing and Information Systems
Although cloud computing offers elastic computation and storage resources, it poses challenges on verifiability of computations and data privacy. In this work we investigate verifiability for privacy-preserving multi-keyword search over outsourced documents. As the cloud server may return incorrect results due to system faults or incentive to reduce computation cost, it is critical to offer verifiability of search results and privacy protection for outsourced data at the same time. To fulfill these requirements, we design aVerifiablePrivacy-preserving keywordSearch scheme, called VPSearch, by integrating an adapted homomorphic MAC technique with a privacy-preserving multi-keyword search scheme. The proposed scheme enables the client to …
Efficient Traceable Oblivious Transfer And Its Applications, Weiwei Liu, Yinghui Zhang, Yi Mu, Guomin Yang, Yangguang Tian
Efficient Traceable Oblivious Transfer And Its Applications, Weiwei Liu, Yinghui Zhang, Yi Mu, Guomin Yang, Yangguang Tian
Research Collection School Of Computing and Information Systems
Oblivious transfer (OT) has been applied widely in privacy-sensitive systems such as on-line transactions and electronic commerce to protect users’ private information. Traceability is an interesting feature of such systems that the privacy of the dishonest users could be traced by the service provider or a trusted third party (TTP). However, previous research on OT mainly focused on designing protocols with unconditional receiver’s privacy. Thus, traditional OT schemes cannot fulfill the traceability requirements in the aforementioned applications. In this paper, we address this problem by presenting a novel traceable oblivious transfer (TOT) without involvement of any TTP. In the new …
Privacy-Preserving Photo Taking And Accessing For Mobile Phones, Ang Li
Privacy-Preserving Photo Taking And Accessing For Mobile Phones, Ang Li
Graduate Theses and Dissertations
Today, we are living in environments that are full of cameras embedded in devices such as smart phones and wearables. These mobile devices and as well as apps installed on them are designed to be extremely convenient for users to take, store and share photos. In spite of the convenience brought by ubiquitous cameras, users' privacy may be breached through photos that are taken and stored with mobile devices. For example, when users take a photo of a scenery, a building or a target person, a stranger may also be unintentionally captured in the photo. Such photos expose the location …
Anonymous Privacy-Preserving Task Matching In Crowdsourcing, Jiangang Shu, Ximeng Liu, Xiaohua Jia, Kan Yang, Robert H. Deng
Anonymous Privacy-Preserving Task Matching In Crowdsourcing, Jiangang Shu, Ximeng Liu, Xiaohua Jia, Kan Yang, Robert H. Deng
Research Collection School Of Computing and Information Systems
With the development of sharing economy, crowdsourcing as a distributed computing paradigm has become increasingly pervasive. As one of indispensable services for most crowdsourcing applications, task matching has also been extensively explored. However, privacy issues are usually ignored during the task matching and few existing privacy-preserving crowdsourcing mechanisms can simultaneously protect both task privacy and worker privacy. This paper systematically analyzes the privacy leaks and potential threats in the task matching and proposes a single-keyword task matching scheme for the multirequester/multiworker crowdsourcing with efficient worker revocation. The proposed scheme not only protects data confidentiality and identity anonymity against the crowd-server, …
Patient Preferences For Authentication And Security: A Comparison Study Of Younger And Older Patients, Ann Fruhling, Devika Ramachandran, Tamara Bernard, Ryan Schuetzler, John R. Windle
Patient Preferences For Authentication And Security: A Comparison Study Of Younger And Older Patients, Ann Fruhling, Devika Ramachandran, Tamara Bernard, Ryan Schuetzler, John R. Windle
Interdisciplinary Informatics Faculty Publications
We examine authentication and security preferences of younger versus older patients in the healthcare domain. Previous research has investigated users' perception of the acceptability of various forms of authentication in nonhealthcare domains, but not patients’ preferences. First, we developed an interactive prototype to test three authentication methods: passwords, pattern, and voice. Our results indicate that younger patients prefer passwords by a significant margin. Older patients indicated more mixed preferences. In addition, we evaluated the level of security patients desired for protection of health information compared to financial information. We found no difference based on age: both groups felt financial security …
Workshop On Emerging Technology And Data Analytics For Behavioral Health, David Kotz, Sarah E. Lord, A. James O'Malley, Luke Stark, Lisa Marsch
Workshop On Emerging Technology And Data Analytics For Behavioral Health, David Kotz, Sarah E. Lord, A. James O'Malley, Luke Stark, Lisa Marsch
Dartmouth Scholarship
Wearable and portable digital devices can support self-monitoring for patients with chronic medical conditions, individuals seeking to reduce stress, and people seeking to modify health-related behaviors such as substance use or overeating. The resulting data may be used directly by a consumer, or shared with a clinician for treatment, a caregiver for assistance, or a health coach for support. The data can also be used by researchers to develop and evaluate just-in-time interventions that leverage mobile technology to help individuals manage their symptoms and behavior in real time and as needed. Such wearable systems have huge potential for promoting delivery …
Advanced Malware Detection For Android Platform, Ke Xu
Advanced Malware Detection For Android Platform, Ke Xu
Dissertations and Theses Collection (Open Access)
In the first quarter of 2018, 75.66% of smartphones sales were devices running An- droid. Due to its popularity, cyber-criminals have increasingly targeted this ecosys- tem. Malware running on Android severely violates end users security and privacy, allowing many attacks such as defeating two factor authentication of mobile bank- ing applications, capturing real-time voice calls and leaking sensitive information. In this dissertation, I describe the pieces of work that I have done to effectively de- tect malware on Android platform, i.e., ICC-based malware detection system (IC- CDetector), multi-layer malware detection system (DeepRefiner), and self-evolving and scalable malware detection system (DroidEvolver) …
Secure Multiparty Protocol For Differentially-Private Data Release, Anthony Harris
Secure Multiparty Protocol For Differentially-Private Data Release, Anthony Harris
Boise State University Theses and Dissertations
In the era where big data is the new norm, a higher emphasis has been placed on models which guarantees the release and exchange of data. The need for privacy-preserving data arose as more sophisticated data-mining techniques led to breaches of sensitive information. In this thesis, we present a secure multiparty protocol for the purpose of integrating multiple datasets simultaneously such that the contents of each dataset is not revealed to any of the data owners, and the contents of the integrated data do not compromise individual’s privacy. We utilize privacy by simulation to prove that the protocol is privacy-preserving, …
Design And Evaluation Of A Privacy Architecture For Crowdsensing Applications, Alfredo J. Perez, Sherali Zeadally
Design And Evaluation Of A Privacy Architecture For Crowdsensing Applications, Alfredo J. Perez, Sherali Zeadally
Computer Science Faculty Publications
By using consumer devices such as cellphones, wearables and Internet of Things devices owned by citizens, crowdsensing systems are providing solutions to the community in areas such as transportation, security, entertainment and the environment through the collection of various types of sensor data. Privacy is a major issue in these systems because the data collected can potentially reveal aspects considered private by the contributors of data. We propose the Privacy-Enabled ARchitecture (PEAR), a layered architecture aimed at protecting privacy in privacy-aware crowdsensing systems. We identify and describe the layers of the architecture. We propose and evaluate the design of MetroTrack, …
Security And Privacy In Ubiquitous Sensor Networks, Alfredo J. Perez, Sherali Zeadally, Nafaa Jabeur
Security And Privacy In Ubiquitous Sensor Networks, Alfredo J. Perez, Sherali Zeadally, Nafaa Jabeur
Computer Science Faculty Publications
The availability of powerful and sensor-enabled mobile and Internet-connected devices have enabled the advent of the ubiquitous sensor network (USN) paradigm. USN provides various types of solutions to the general public in multiple sectors, including environmental monitoring, entertainment, transportation, security, and healthcare. Here, we explore and compare the features of wireless sensor networks and USN. Based on our extensive study, we classify the security- and privacy-related challenges of USNs. We identify and discuss solutions available to address these challenges. Finally, we briefly discuss open challenges for designing more secure and privacy-preserving approaches in next-generation USNs.
Nocloud: Experimenting With Network Disconnection By Design, Reza Rawassizadeh, Timothy Pierson, Ronald Peterson, David Kotz
Nocloud: Experimenting With Network Disconnection By Design, Reza Rawassizadeh, Timothy Pierson, Ronald Peterson, David Kotz
Dartmouth Scholarship
Application developers often advocate uploading data to the cloud for analysis or storage, primarily due to concerns about the limited computational capability of ubiquitous devices. Today, however, many such devices can still effectively operate and execute complex algorithms without reliance on the cloud. The authors recommend prioritizing on-device analysis over uploading the data to another host, and if on-device analysis is not possible, favoring local network services over a cloud service.
Towards Practical Privacy-Preserving Analytics For Iot And Cloud Based Healthcare Systems, Sagar Sharma, Keke Chen, Amit P. Sheth
Towards Practical Privacy-Preserving Analytics For Iot And Cloud Based Healthcare Systems, Sagar Sharma, Keke Chen, Amit P. Sheth
Kno.e.sis Publications
Modern healthcare systems now rely on advanced computing methods and technologies, such as IoT devices and clouds, to collect and analyze personal health data at unprecedented scale and depth. Patients, doctors, healthcare providers, and researchers depend on analytical models derived from such data sources to remotely monitor patients, early-diagnose diseases, and find personalized treatments and medications. However, without appropriate privacy protection, conducting data analytics becomes a source of privacy nightmare. In this paper, we present the research challenges in developing practical privacy-preserving analytics in healthcare information systems. The study is based on kHealth - a personalized digital healthcare information system …
Obfuscation At-Source: Privacy In Context-Aware Mobile Crowd-Sourcing, Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Randy Tandriansyah, Hoong Chuin Lau
Obfuscation At-Source: Privacy In Context-Aware Mobile Crowd-Sourcing, Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Randy Tandriansyah, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
By effectively reaching out to and engaging larger population of mobile users, mobile crowd-sourcing has become a strategy to perform large amount of urban tasks. The recent empirical studies have shown that compared to the pull-based approach, which expects the users to browse through the list of tasks to perform, the push-based approach that actively recommends tasks can greatly improve the overall system performance. As the efficiency of the push-based approach is achieved by incorporating worker's mobility traces, privacy is naturally a concern. In this paper, we propose a novel, 2-stage and user-controlled obfuscation technique that provides a trade off-amenable …
Regrets, I'Ve Had A Few: When Regretful Experiences Do (And Don't) Compel Users To Leave Facebook, Shion Guha, Eric P.S. Baumer, Geri K. Gay
Regrets, I'Ve Had A Few: When Regretful Experiences Do (And Don't) Compel Users To Leave Facebook, Shion Guha, Eric P.S. Baumer, Geri K. Gay
Mathematics, Statistics and Computer Science Faculty Research and Publications
Previous work has explored regretful experiences on social media. In parallel, scholars have examined how people do not use social media. This paper aims to synthesize these two research areas and asks: Do regretful experiences on social media influence people to (consider) not using social media? How might this influence differ for different sorts of regretful experiences? We adopted a mixed methods approach, combining topic modeling, logistic regressions, and contingency analysis to analyze data from a web survey with a demographically representative sample of US internet users (n=515) focusing on their Facebook use. We found that experiences that arise because …
Tactful Inattention: Erving Goffman, Privacy In The Digital Age, And The Virtue Of Averting One's Eyes, Elizabeth De Armond
Tactful Inattention: Erving Goffman, Privacy In The Digital Age, And The Virtue Of Averting One's Eyes, Elizabeth De Armond
All Faculty Scholarship
No abstract provided.
Broncovote: Secure Voting System Using Ethereum’S Blockchain, Gaby G. Dagher, Praneeth Babu Marella, Matea Milojkovic, Jordan Mohler
Broncovote: Secure Voting System Using Ethereum’S Blockchain, Gaby G. Dagher, Praneeth Babu Marella, Matea Milojkovic, Jordan Mohler
Computer Science Faculty Publications and Presentations
Voting is a fundamental part of democratic systems; it gives individuals in a community the faculty to voice their opinion. In recent years, voter turnout has diminished while concerns regarding integrity, security, and accessibility of current voting systems have escalated. E-voting was introduced to address those concerns; however, it is not cost-effective and still requires full supervision by a central authority. The blockchain is an emerging, decentralized, and distributed technology that promises to enhance different aspects of many industries. Expanding e-voting into blockchain technology could be the solution to alleviate the present concerns in e-voting. In this paper, we propose …
Smartphone User Privacy Preserving Through Crowdsourcing, Bahman Rashidi
Smartphone User Privacy Preserving Through Crowdsourcing, Bahman Rashidi
Theses and Dissertations
In current Android architecture, users have to decide whether an app is safe to use or not. Expert users can make savvy decisions to avoid unnecessary private data breach. However, the majority of regular users are not technically capable or do not care to consider privacy implications to make safe decisions. To assist the technically incapable crowd, we propose a permission control framework based on crowdsourcing. At its core, our framework runs new apps under probation mode without granting their permission requests up-front. It provides recommendations on whether to accept or not the permission requests based on decisions from peer …
Tactful Inattention: Erving Goffman, Privacy In The Digital Age, And The Virtue Of Averting One's Eyes, Elizabeth De Armond
Tactful Inattention: Erving Goffman, Privacy In The Digital Age, And The Virtue Of Averting One's Eyes, Elizabeth De Armond
Elizabeth De Armond
No abstract provided.