Empirical Research for Software Security

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Achim D. Brucker
ACM Digital Library
Agile methods
agile security testing
Alexander Rind
Alvaro A. Cardenas
anomaly detection techniques
Application Layer Attacks
Black Box Testing
Category=UMZ
Category=UR
classification metrics evaluation
Combinatorial testing
cybersecurity research methods
Daniel A. Keim
Daniela S. Cruzes
data-driven security analysis
Dimitri Van Landuyt
Dominik Sacha
Eduardo B. Fernandez
empirical software security methodologies
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eq_computing
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fabian Fischer
False Alarm Rate
Gilberto Pedraza
Hanno Langweg
HernAstudillo
Hisham Haddad
Hossain Shahriar
Id
Information Visualization
Intrusion Detection
Jeffrey C. Carver
Kim Wuyts
Koen Yskout
Lotfi ben Othmane
Malware Analysis
Malware Samples
Markus Wagner
Martin Gilje Jaatun
Michael Felderer
Natalia Stakhanova
Open Source Software
Peter Tsalovski
privacy engineering
Quantitative Research
Rene Noel
Riccardo Scandariato
Robert Bronte
Robert Luh
Roc Curve
Sandra Domenique Ringmann
Santiago Matalonga
SDL
Search String
Sebastian Schrittwieser
Secure Software Development
Secure Software Engineering
Security awareness
Security code analysis
Security Patterns
Software diversification
Software Security
SQL Injection
Stanislav Dashevskyi
Stride
TCP
Threat modeling
VA System
Visualization Systems
Web Application
Web Application Security Testing
Wolfgang Aigner
Wouter Joosen

Product details

  • ISBN 9780367572549
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Jun 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Developing secure software requires the integration of numerous methods and tools into the development process, and software design is based on shared expert knowledge, claims, and opinions. Empirical methods, including data analytics, allow extracting knowledge and insights from the data that organizations collect from their processes and tools, and from the opinions of the experts who practice these processes and methods. This book introduces the reader to the fundamentals of empirical research methods, and demonstrates how these methods can be used to hone a secure software development lifecycle based on empirical data and published best practices.

Dr. Lotfi ben Othmane is on the faculty at the Department of Electrical and Computer Engineering, Iowa State University, USA. Previously, he was a Research Scientist and then Head of the Secure Software Engineering department at Fraunhofer SIT, Germany. Lotfi received his Ph.D. from Western Michigan University (WMU), USA, in 2010; the M.S. in computer science from University of Sherbrooke, Canada, in 2000; and the B.S in information systems from University of Sfax, Tunisia, in 1995. He works currently on software security, specifically on (1) the application of empirical methods to address software security challenges and (2) the impact of incremental development on the security of software.

Dr. Martin Gilje Jaatun is a Senior Scientist at SINTEF ICT, where he has been employed since 2004. He received his Sivilingeniør degree in Telematics from the Norwegian Institute of Technology (NTH) in 1992, and the Dr.Philos. degree from the University of Stavanger in 2015. Previous positions include scientist at the Norwegian Defence Research Establishment (FFI), and Senior Lecturer in information security at the Bodø Graduate School of Business. His research interests include software security, security in cloud computing, and security of critical information infrastructures. Dr. Jaatun is an associate editor of the International Journal of Secure Software engineering. He is vice chairman of the Cloud Computing Association (cloudcom.org), vice chairman of Cloud Security Alliance Norway, and a Senior Member of the IEEE.

Dr. Edgar Weippl is Research Director of SBA Research and Associate Professor at the Vienna University of Technology. His research focuses on applied concepts of IT security. He has published numerous articles in journals and more than 100 papers in peer-reviewed conferences. After graduating with a Ph.D. from the Vienna University of Technology, he worked in a research startup for two years. He then spent one year teaching as an assistant professor at Beloit College, WI. From 2002 to 2004, he was a Consultant for a Health Maintenance Organization (HMO) in New York and Albany, NY, and for Deutsche Bank, Frankfurt, Germany. In 2004 he joined the Vienna University of Technology and co-founded SBA Research. Dr. Weippl has edited a large number of special issues in journals such as Information Security Technical Report and Computers & Security.