Engineering Commons^™

Cloud Computing Data Breaches: A Socio-Technical Review Of Literature, David Kolevski, Katina Michael

Professor Katina Michael

As more and more personal, enterprise and government data, services and infrastructure moves to the cloud for storage and processing, the potential for data breaches increases. Already major corporations that have outsourced some of their IT requirements to the cloud have become victims of cyber attacks. Who is responsible and how to respond to these data breaches are just two pertinent questions facing cloud computing stakeholders who have entered an agreement on cloud services. This paper reviews literature in the domain of cloud computing data breaches using a socio-technical approach. Socio-technical theory encapsulates three major dimensions- the social, the technical, …

The Nuclear Security Science And Policy Institute At Texas A&M University, Claudio A. Gariazzo, Kelley H. Ragusa, David R. Boyle, William S. Charlton, Sunil S. Chirayath, Craig M. Marianno, Paul Nelson Jr.

International Journal of Nuclear Security

The Nuclear Security Science and Policy Institute (NSSPI) is a multidisciplinary organization at Texas A&M University and was the first U.S. academic institution focused on technical graduate education, research, and service related to the safeguarding of nuclear materials and the reduction of nuclear threats. NSSPI employs science, engineering, and policy expertise to: (1) conduct research and development to help detect, prevent, and reverse nuclear and radiological proliferation and guard against nuclear terrorism; (2) educate the next generation of nuclear security and nuclear nonproliferation leaders; (3) analyze the interrelationships between policy and technology in the field of nuclear security; and (4) …

Slides: Ag Water Sharing: Legal Challenges And Considerations, Peter D. Nichols

Innovations in Managing Western Water: New Approaches for Balancing Environmental, Social and Economic Outcomes (Martz Summer Conference, June 11-12)

Presenter: Peter D. Nichols, Esq., Partner, Berg, Hill, Greenleaf and Ruscitti, Boulder, CO

25 slides

Recent Advances In Security And Privacy In Big Data, Yong Yu, Yi Mu, Giuseppe Ateniese

Faculty of Engineering and Information Sciences - Papers: Part A

Big data has become an important topic in science, engineering, medicine, healthcare, finance, business and ultimately society itself. Big data refers to the massive amount of digital information stored or transmitted in computer systems. Approximately, 2.5 quintillion bytes of data are created every day. Almost 90% of data in the world today are created in the last two years alone. Security and privacy issues becomes more critical due to large volumes and variety, due to data hosted in large-scale cloud infrastructures, diversity of data sources and formats, streaming nature of data acquisition and high volume inter-cloud migration. In large-scale cloud …

An Empirical Comparison Of Widely Adopted Hash Functions In Digital Forensics: Does The Programming Language And Operating System Make A Difference?, Satyendra Gurjar, Ibrahim Baggili, Frank Breitinger, Alice E. Fischer

Electrical & Computer Engineering and Computer Science Faculty Publications

Hash functions are widespread in computer sciences and have a wide range of applications such as ensuring integrity in cryptographic protocols, structuring database entries (hash tables) or identifying known files in forensic investigations. Besides their cryptographic requirements, a fundamental property of hash functions is efficient and easy computation which is especially important in digital forensics due to the large amount of data that needs to be processed when working on cases. In this paper, we correlate the runtime efficiency of common hashing algorithms (MD5, SHA-family) and their implementation. Our empirical comparison focuses on C-OpenSSL, Python, Ruby, Java on Windows and …

A New Bio-Cryptosystem-Oriented Security Analysis Framework And Implementation Of Multibiometric Cryptosystems Based On Decision Level Fusion, Cai Li, Jiankun Hu, Josef Pieprzyk, Willy Susilo

Faculty of Engineering and Information Sciences - Papers: Part A

Biometric cryptosystems provide an innovative solution for cryptographic key generation, encryption as well as biometric template protection. Besides high authentication accuracy, a good biometric cryptosystem is expected to protect biometric templates effectively, which requires that helper data does not reveal significant information about the templates. Previous works predominantly follow an appropriate entropy definition to measure the security of biometric cryptosystems. In this paper, we point out limitations of entropy-based security analysis and propose a new security analysis framework that combines information-theoretic approach with computational security. In addition, we construct a fingerprint-based multibiometric cryptosystem using decision level fusion. Hash functions are …