SelectedWorks - Gaby Dagher

Contact

Selected Works of Gaby Dagher

Assistant Professor, Department of Computer Science

Dr. Gaby G. Dagher joined Boise State University in 2016 and is an Assistant Professor with the Department of Computer Science focusing on cyber-security. He earned his Ph.D. in Computer Science, Master of Applied Science in Information Systems Security, and Bachelor of Computer Science degrees from Concordia University in Québec Canada. Dr. Dagher also holds a Bachelor of Engineering in Engineering Management from Damascus University in Syria. His professional career has included being a Research Assistant at both McGill University and Concordia University, and he has worked in the industry as a Technical Engineer for Infor Lawson Software and as a Software Developer and Project Lead for Freeborders Corporation both in Montréal to name the most recent.

Works
About

×

About Gaby Dagher

Dr. Gaby G. Dagher joined Boise State University in 2016 and is an Assistant Professor with the Department of Computer Science focusing on cyber-security. He earned his Ph.D. in Computer Science, Master of Applied Science in Information Systems Security, and Bachelor of Computer Science degrees from Concordia University in Québec Canada. Dr. Dagher also holds a Bachelor of Engineering in Engineering Management from Damascus University in Syria. His professional career has included being a Research Assistant at both McGill University and Concordia University, and he has worked in the industry as a Technical Engineer for Infor Lawson Software and as a Software Developer and Project Lead for Freeborders Corporation both in Montréal to name the most recent.

Articles (10)

Janus: Toward Preventing Counterfeits in Supply Chains Utilizing a Multi-Quorum Blockchain (Vika Crossland, Connor Dellwo, Golam Bashar, et al.) Blockchain: Research and Applications (2023)

The modern pharmaceutical supply chain lacks transparency and traceability, resulting in alarming rates of counterfeit products entering the market. These illegitimate products cause harm to end users and wreak havoc on the supply chain itself, ...

VigilRx: A Scalable and Interoperable Prescription Management System Using Blockchain (Alixandra Taylor, Austin Kugler, Praneeth Babu Marella, et al.) IEEE Access (2022)

Achieving interoperability between healthcare providers is a major challenge. Current systems for managing prescription records suffer from data siloing, unnecessary record duplication, and slow record transfers. In many systems, patients do not retain control over ...

ACCORD: A Scalable Multileader Consensus Protocol for Healthcare Blockchain (Golam Dastoger Bashar, Joshua Holmes and Gaby G. Dagher) IEEE Transactions on Information Forensics and Security (2022)

Blockchain is an emerging distributed and decentralized technology that promises to revolutionize the healthcare sector by securely storing and maintaining incorruptible electronic health record data. Consensus protocols are at the core of blockchain technology. They ...

Data Storage in Cellular DNA: Contextualizing Diverse Encoding Schemes (Gaby G. Dagher, Anthony P. Machado, Eddie C. Davis, et al.) Evolutionary Intelligence (2021)

Nature has been using DNA to store biological data for millions of years, and fnally humans are learning to use the same medium for our own data. In this paper, we survey the feld of ...

BullyNet: Unmasking Cyberbullies on Social Networks (Aparna Sankaran Srinath, Hannah Johnson, Gaby G. Dagher, et al.) IEEE Transactions on Computational Social Systems (2021)

One of the most harmful consequences of social media is the rise of cyberbullying, which tends to be more sinister than traditional bullying, given that online records typically live on the Internet for quite a ...

SecDM: Privacy-Preserving Data Outsourcing Framework with Differential Privacy (Gaby G. Dagher, Benjamin C. M. Fung, Noman Mohammed, et al.) Knowledge and Information Systems (2020)

Data-as-a-service (DaaS) is a cloud computing service that emerged as a viable option to businesses and individuals for outsourcing and sharing their collected data with other parties. Although the cloud computing paradigm provides great flexibility ...

SafePath: Differentially-Private Publishing of Passenger Trajectories in Transportation Systems (Khalil Al-Hussaeni, Benjamin C. M. Fung, Farkhund Iqbal, et al.) Computer Networks (2018)

In recent years, the collection of spatio-temporal data that captures human movements has increased tremendously due to the advancements in hardware and software systems capable of collecting person-specific data. The bulk of the data collected ...

Ancile: Privacy-Preserving Framework for Access Control and Interoperability of Electronic Health Records Using Blockchain Technology (Gaby G. Dagher, Jordan Mohler, Matea Milojkovic, et al.) Sustainable Cities and Society (2018)

Despite an increased focus on the security of electronic health records and an effort by large cities around the globe to pursue smart city infrastructure, the private information of patients is subject to data breaches ...

BroncoVote: Secure Voting System Using Ethereum’s Blockchain (Gaby G. Dagher, Praneeth Babu Marella, Matea Milojkovic, et al.) ICISSP 2018: Proceedings of the 4th International Conference on Information Systems Security and Privacy (2018)

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 ...

Subject-Based Semantic Document Clustering for Digital Forensic Investigations (Gaby G. Dagher and Benjamin C.M. Fung) Data & Knowledge Engineering (2013)

Computers are increasingly used as tools to commit crimes such as unauthorized access (hacking), drug trafficking, and child pornography. The proliferation of crimes involving computers has created a demand for special forensic tools that allow ...

Ensuring Trustworthy Neural Network Training via Blockchain (Edgar Navarro, Kyle J. Standing, Gaby G. Dagher, et al.) 2023 IEEE 5th International Conference on Cognitive Machine Intelligence (CogMI) (2023)

As Artificial Intelligence prevalence grows, it highlights the risk in relying on compromised models, thereby fueling a growing need to ensure the integrity of trained AI models. In this paper, we present a novel blockchain-based ...

PRISM: A Blockchain-Enabled Reputation-Based Consensus for Enhancing Scientific Workflow Provenance (Matthew Miller, Skarlet Williams, Gaby G. Dagher, et al.) 2023 IEEE 9th International Conference on Collaboration and Internet Computing (CIC) (2023)

Recent surveys and reports have shed a spotlight on the disconcerting prevalence of scientific fraud, prompting the call for robust systems to uphold integrity in scientific research. In this paper, we introduce PRISM, a novel ...

Diffusion: Analysis of Many-to-Many Transactions in Bitcoin (Dylan Eck, Adam Torek, Steven Cutchin, et al.) 2021 IEEE International Conference on Blockchain (Blockchain) (2021)

Bitcoin is a decentralized cryptocurrency that enables entities to transfer funds psuedo-anonymously. Investigative services like the FBI, however, have been able to subvert this using various techniques. To counter this, the Bitcoin community uses several ...

VAULT: A Scalable Blockchain-Based Protocol for Secure Data Access and Collaboration (Justin S. Gazsi, Sajia Zafreen, Gaby G. Dagher, et al.) 2021 IEEE International Conference on Blockchain (Blockchain) (2021)

Data sharing is as vital as data storage. Existing centralized data sharing and access systems provide less transparency and traceability as the users have to trust a centralized authority and its decision making for the ...

ZeroLender: Trustless Peer-to-Peer Bitcoin Lending Platform (Yi Xie, Joshua Holmes and Gaby G. Dagher) CODASPY '20: Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy (2020)

Since its inception a decade ago, Bitcoin and its underlying blockchain technology have been garnering interest from a large spectrum of financial institutions. Although it encompasses a currency, a payment method, and a ledger, Bitcoin ...

Variance: Secure Two-Party Protocol for Efficient Asset Comparison in Bitcoin (Joshua Holmes and Gaby G. Dagher) 2020 IEEE International Conference on Blockchain (Blockchain) (2020)

Secure multiparty protocols are useful tools for parties wishing to jointly compute a function while keeping their input data secret. The millionaires' problem is the first secure two-party computation problem, where the goal is to ...

Flexibly and Securely Shape Your Data Disclosed to Others (Qingqing Xie, Yantian Hou, Ke Cheng, et al.) Asia CCS '19: Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security (2019)

This work is to enhance existing fine-grained access control to support a more expressive access policy over arithmetic operation results. We aim to enable data owners to flexibly bind a user's identity with his/her authorized ...

A Study of the Multiple Sign-In Feature in Web Applications (Marwan Albahar, Xing Gao, Gaby Dagher, et al.) Security and Privacy in Communication Networks: 15th EAI International Conference, SecureComm 2019, Orlando, FL, USA, October 23-25, 2019, Proceedings, Part II (2019)

Nowadays, more and more web applications start to offer the multiple sign-in feature, allowing users to sign into multiple accounts simultaneously from the same browser. This feature significantly improves user experience. Unfortunately, if such a ...

Contextualizing Consensus Protocols in Blockchain: A Short Survey (Golam Bashar, Graham Hill, Subroto Singha, et al.) 2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA) (2019)

Consensus protocols are mechanisms that enable a group of entities to reach an agreement on a specific subject. In blockchain systems, consensus protocols are the cornerstone of achieving security and scalability. They not only enable ...

Privacy-Preserving Genomic Data Publishing via Differentially-Private Suffix Tree (Tanya Khatri, Gaby G. Dagher and Yantian Hou) Security and Privacy in Communication Networks: 15th EAI International Conference, SecureComm 2019, Orlando, FL, USA, October 23-25, 2019, Proceedings, Part I (2019)

Privacy-preserving data publishing is a mechanism for sharing data while ensuring that the privacy of individuals is preserved in the published data, and utility is maintained for data mining and analysis. There is a huge ...

A Certificateless One-Way Group Key Agreement Protocol for End-to-End Email Encryption (Jyh-Haw Yeh, Srisarguru Sridhar, Gaby G. Dagher, et al.) 2018 IEEE 23rd Pacific Rim International Symposium on Dependable Computing (PRDC) (2018)

Over the years, email has evolved into one of the most widely used communication channels for both individuals and organizations. However, despite near ubiquitous use in much of the world, current information technology standards do ...

GenVote: Blockchain-Based Customizable and Secure Voting Platform (Praneeth Babu Marella, Matea Milojkovic, Jordan Mohler, et al.) Information Systems Security and Privacy: 4th International Conference, ICISSP 2018, Funchal - Madeira, Portugal, January 22-24, 2018, Revised Selected Papers (2018)

Electronic voting has been popularized in recent years as an alternative to traditional voting. Even though electronic voting addresses the problems that traditional voting brings, it is not a perfect solution. Electronic voting brings its ...

Provisions: Privacy-Preserving Proofs of Solvency for Bitcoin Exchanges (Gaby G. Dagher, Benedikt Bünz, Joseph Bonneau, et al.) Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security (2015)

Bitcoin exchanges function like banks, securely holding their customers’ bitcoins on their behalf. Several exchanges have suffered catastrophic losses with customers permanently losing their savings. A proof of solvency demonstrates that the exchange controls sufficient ...

D-Mash: A Framework for Privacy-Preserving Data-as-a-Service Mashups (Mahtab Arafati, Gaby G. Dagher, Benjamin C.M. Fung, et al.) Proceedings: 2014 IEEE Seventh International Conference on Cloud Computing: CLOUD 2014 (2014)

Data-as-a-Service (DaaS) mashup enables data providers to dynamically integrate their data on demand depending on consumers’ requests. Utilizing DaaS mashup, however, involves some challenges. Mashing up data from multiple sources to answer a consumer’s request ...

DARM: A Privacy-Preserving Approach for Distributed Association Rules Mining on Horizontally-Partitioned Data (Omar Abdel Wahab, Moulay Omar Hachami, Arslan Zaffari, et al.) Proceedings of the 18th International Database Engineering & Applications Symposium (2014)

Extracting association rules helps data owners to unveil hidden patterns from their data for the purpose of analyzing and predicting the behavior of their clients. However, mining association rules in a distributed environment is not ...