Homework
Subject: Introduction to Data mining
Question A: 300+ words
Define and Describe the following methods of clustering:
a. Partitioning Method
b. Hierarchical Method
c. Density-based Method
d. Grid-Based Method
e. Model-Based Method
f. Constraint-based Method
Question B: 2+ pages
After reviewing chapter 9 (refer to attached 'IT632_Chapter 9 PPT.ppt') on anomaly detection,
a. What are the characteristics of anomaly detection?
b. What are the detection problems and methods?
c. What are the statistical approaches when there is an anomaly found?
d. Compare and contrast proximity and clustering based approaches.
Subject: Security Architecture and Design
Question C: 400+ words
If an attacker can retrieve the API and libraries, then use these to writean agent, and then get the attacker's agent installed, how should Digital Diskus protect itself from such an attack? Should the business analytics system provide a method of authentication of valid agents in order to protect against a malicious one? Is the agent a worthy attack surface?
Question D: 600+ words.
Briefly respond to all the following. Make sure to explain and back up yourresponses with facts and examples.
Format your homework according to the give formatting requirements:
a. The answer must be double spaced, typed, using Times New Roman font (size 12), with one-inch margins on all sides.
b. The response also includes a cover page containing the title of the homework, the course title, the student's name, and the date. The cover page is not included in the required page length.
c. Also include a reference page. The references and Citations should follow APA format. The reference page is not included in the required page length.
Download:- Chapter-9-PPT.rar