504 pages | 29 B/W Illus.
An organization’s employees are often more intimate with its computer system than anyone else. Many also have access to sensitive information regarding the company and its customers. This makes employees prime candidates for sabotaging a system if they become disgruntled or for selling privileged information if they become greedy. Insider Computer Fraud: An In-depth Framework for Detecting and Defending against Insider IT Attacks presents the methods, safeguards, and techniques that help protect an organization from insider computer fraud.
Drawing from the author’s vast experience assessing the adequacy of IT security for the banking and securities industries, the book presents a practical framework for identifying, measuring, monitoring, and controlling the risks associated with insider threats. It not only provides an analysis of application or system-related risks, it demonstrates the interrelationships that exist between an application and the IT infrastructure components it uses to transmit, process, and store sensitive data. The author also examines the symbiotic relationship between the risks, controls, threats, and action plans that should be deployed to enhance the overall information security governance processes.
Increasing the awareness and understanding necessary to effectively manage the risks and controls associated with an insider threat, this book is an invaluable resource for those interested in attaining sound and best practices over the risk management process.
Insider Computer Fraud
Related Research in Insider Computer Fraud and Information Security Controls
The Insider Threat Strategic Planning Process
Information Technology Architecture and Insider Computer Fraud Prevention
Protection of Web Sites from Insider Abuse and the Information Technology Infrastructure
Web Services Security and Control Considerations for Reducing Transaction Risks
Application Security and Methods for Reducing Insider Computer Fraud
Insider Computer Fraud Taxonomy and the Art of Key Fraud Indicator (KFI) Selection Process
Key Fraud Signature (KFS) Selection Process for Detecting Insider Computer Fraud
Application and System Journaling and the Software Engineering Process
The Role of Neural Networks in the Insider Computer Fraud Framework
Appendices: Application Access Controls. Application Data Origination/Input. Application Data Processing. Application Output/Management Information System (MIS). Key Fraud Signature (KFS) Worksheet. Cyber-Security HealthCheck
Acronym List. Glossary.