Insider Computer Fraud: An In-Depth Framework for Detecting and Defending Against Insider It Attacks

ISBN-13: 9780367388065 / Angielski / Miękka / 2019 / 504 str.

Kenneth Brancik

Opis

Employees often have easy access to sensitive information about a company and its customers, making them prime candidates to sabotage a system or to sell privileged information. Illustrated with practical case studies, this volume presents methods, safeguards, and techniques for IT professionals to protect against insider computer fraud. Drawing from the author’s two decades of experience in assessing the adequacy of IT security for the banking and securities industries, this book provides a thorough exploration of application risks and controls, web-service security, and the identification and mitigation of fraud.

Spis treści

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.

O autorze

Brancik, Kenneth