Data breaches harm nations, businesses, and individuals. The Democratic National Committee breach affected the United States presidential election of 2016, the Anthem breach imperiled 80 million United States patients, the Equifax breach endangered 143 million United States citizens, the Ashley Madison breach led to suicides, and 60% of the small businesses that suffer a data breach close down within six months. An average of five million data records are breached daily; nine billion have been breached since 2013. According to the US Department of Health and Human Services, 174 million health records of the United States residents have been breached. Naveed is developing systems to prevent such data breaches with a focus on electronic health records.

Selected Publications

Inference Attacks on Property-Preserving Encrypted Databases
Muhammad Naveed, Seny Kamara, Charles V Wright
ACM Conference on Computer and Communications Security (CCS), 2015

Privacy in the Genomic Era
Muhammad Naveed, Erman Ayday, Ellen W. Clayton, Jacques Fellay, Carl A. Gunter, Jean-Pierre Hubaux, Bradley A. Malin, and XiaoFeng Wang
ACM Computing Surveys, 2015

Controlled Functional Encryption
Muhammad Naveed, Shashank Agrawal, Manoj Prabhakaran, Xiaofeng Wang, Erman Ayday, Jean-Pierre Hubaux and Carl A. Gunter
ACM Conference on Computer and Communications Security (CCS), 2014

Security Concerns in Android mHealth Apps
Dongjing He, Muhammad Naveed, Carl A. Gunter, Klara Nahrstedt
American Medical Informatics Association (AMIA) Annual Symposium 2014

Inside Job: Understanding and Mitigating the Threat of External Device Misbonding on Android
Muhammad Naveed, Xiaoyong Zhou, Soteris Demetriou, XiaoFeng Wang, Carl Gunter
ISOC Network and Distributed System Security Symposium (NDSS) 2014

Muhammad Naveed

Assistant Professor of Computer Science Dept.

Muhammad Naveed

Dr. Naveed works on computer security and applied cryptography

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IMSC is a research center that focuses on data-driven solutions for real-world applications by applying multidisciplinary research in the area of data science.