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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.
List of contents
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.
About the author
Brancik, Kenneth
Summary
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.
