What is he best known for?
The fields of study he is best known for:
- Computer security
- Operating system
- Law
The scientist’s investigation covers issues in Computer security, Software security assurance, Software, Information security and Security testing.
The concepts of his Computer security study are interwoven with issues in Extensibility and Security information and event management.
His work in Software security assurance tackles topics such as Software construction which are related to areas like Software quality and System testing.
Many of his research projects under Software are closely connected to Reuse with Reuse, tying the diverse disciplines of science together.
His Security testing study combines topics from a wide range of disciplines, such as System integration testing, Security through obscurity, Software engineering and Regression testing.
His studies deal with areas such as Security service and Database security as well as Security through obscurity.
His most cited work include:
- Software Security: Building Security In (477 citations)
- Software security (365 citations)
- Building Secure Software: How to Avoid Security Problems the Right Way (348 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Computer security, Silver bullet, Software security assurance, Software and Information security.
His work deals with themes such as Government, Risk management and Internet privacy, which intersect with Computer security.
He combines subjects such as Security information and event management, Computer security model and Software development with his study of Software security assurance.
His Software study frequently draws connections between related disciplines such as Engineering management.
His Security service study combines topics in areas such as Security through obscurity and Cloud computing security.
Gary McGraw has researched Security through obscurity in several fields, including Logical security, Security engineering and Asset.
He most often published in these fields:
- Computer security (64.49%)
- Silver bullet (49.28%)
- Software security assurance (36.96%)
What were the highlights of his more recent work (between 2014-2020)?
- Silver bullet (49.28%)
- Computer security (64.49%)
- Software security assurance (36.96%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Silver bullet, Computer security, Software security assurance, Internet privacy and Cryptography.
His work in the fields of Computer security, such as Information security, intersects with other areas such as Work.
The Information security study combines topics in areas such as Security information and event management, Cloud computing security and Security management.
His work carried out in the field of Software security assurance brings together such families of science as Capability Maturity Model, Software bug, Space, State and Deep learning.
His research in Capability Maturity Model intersects with topics in Network security policy, Security convergence, Security through obscurity, Computer security model and Asset.
Gary McGraw interconnects Encryption and Public-key cryptography in the investigation of issues within Cryptography.
Between 2014 and 2020, his most popular works were:
- Software security and the building security in maturity model (BSIMM) (6 citations)
- Four Software Security Findings (6 citations)
- Security Engineering for Machine Learning (3 citations)
In his most recent research, the most cited papers focused on:
- Computer security
- Operating system
- Law
Computer security, Software security assurance, Artificial intelligence, Machine learning and Silver bullet are his primary areas of study.
He carries out multidisciplinary research, doing studies in Computer security and Work.
His research on Software security assurance concerns the broader Cloud computing security.
His studies in Artificial intelligence integrate themes in fields like Risk analysis, Data modeling, Risk analysis, Software architecture and Risk assessment.
His Machine learning research includes elements of Training set, Security engineering and Taxonomy.
His Capability Maturity Model study combines topics from a wide range of disciplines, such as Certified Information Security Manager, Security service, Information security, Information security audit and Asset.
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