3. Consider that the incidence of viral attachments in email messages in 1 in 800. Your malware checker will correctly identify a message as viral 95% of the time. Your malware checker will correctly identify a message as non-viral 95% of the time. Your malware checker has just flagged a message as being malware. What is the probability that the message is actually okay? Justify your answer using Bayes theorem. 4. Describe, in your own words, a specific instance of an insider placing malware within a system. You should describe the type of malware placed, the expected likely impact, and some details regarding the outcome. This is not meaning a hypothetical scenario you have made up, find an actual real world example.

3. Consider that the incidence of viral attachments in email messages in 1 in 800. Your malware checker will correctly identify a message as viral 95% of the time. Your malware checker will correctly identify a message as non-viral 95% of the time. Your malware checker has just flagged a message as being malware. What is the probability that the message is actually okay? Justify your answer using Bayes theorem. 4. Describe, in your own words, a specific instance of an insider placing malware within a system. You should describe the type of malware placed, the expected likely impact, and some details regarding the outcome. This is not meaning a hypothetical scenario you have made up, find an actual real world example.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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