COMP07075 Security Fundamentals

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Network Security, Security Technique and Digital Forensics

Coursework 1: Part B
Course: COMP07075 Security Fundamentals
Week: 05
Topic: Coursework 1: Part B
Duration: Home Assignment
Instructor: Dr Babak Habibnia
Submission Deadline: 16th MAy 2025, 23:55.
Assessment: Overall weightage: 30% (Marks assigned 50 for this sub-part)
Student Name: …………………………...

Student ID: …………………………...

Please ensure that all screenshots you submit clearly display your Student ID and name on the terminal or operating system GUI. This is essential for verifying the authenticity of your work. One way to do this is by creating a user profile in Kali/Ubuntu Linux using your name and Student ID—this way, it will appear on the terminal where you execute your commands.

Failure to follow this guideline may affect your grade, as I won’t be able to confirm that the work was completed by you.

Additionally, do not use Chatgpt or any other generative AI tools to produce your solutions. Any detected use of AI-generated content will be reported to the academic integrity board for review.

Thank you for your understanding and cooperation.

Task 01: Demonstrate a DoS attack (Marks assigned: 12 Marks)

Please use the solution you created in Lab Exercise 05. Use the same network setup you used in Task 03 of Lab Exercise 05.

(a) Use the PENTMENU tool to demonstrate a DoS attack. Please provide proper snapshots with captions and a brief description of the steps you are taking.

Please discuss the results and provide proper information about the steps.

(b) Discuss various security countermeasures to stop the various types of DoS attacks.

Task 02: Demonstrate the usage of Snort IDS to detect network activity (Marks assigned: 13 Marks)

There should be a minimum of three VMs, one VM for Snort and the other two VMs for the client/server role. You should search one scenario and write rules for that, for example, you can configure Snort to detect ongoing DoS attacks. Please avoid using scenarios we have already used in our lab session. We have used detection of ping, and detection of access to web services already so please don’t use these twoscenarios.

Task 03: Download the sample image files (file name: Forensics Images.zip).

Calculate the SHA1 hash for each file (Marks assigned: 12 Marks)

These files are created using pictures taken by Canon PowerShot SD800IS and storedon a 32 MB SD card. The SHA1 hash of these files is provided as follows:

filename SHA1

=========================================================

nps-2009-canon2-gen1.E01 3f51c335e5a7fe3c9ff62ddfd808973477cb92ed

nps-2009-canon2-gen2.E01  cd24a3387c18c8683622b4b7d48fa6c0d9e30eec

nps-2009-canon2-gen3.E01  2b2ffc917894c0f0193927d550cea3d1b7af9310

nps-2009-canon2-gen4.E01  cc819a3a73a9b83e882de653ac3bdf555ef6a645

nps-2009-canon2-gen5.E01  8343acdd8320e20954c9232f17bfb0815834f07c

nps-2009-canon2-gen6.E01  e6212ddcabcf13f243684fa7fef952704af0b0ae

Check the integrity of these files by calculating the SHA1 hash code for each supplied file and then compare these with the provided hash codes (given in the above table).

The command used to compute the SHA1 code is:
sha1sum filename
Task 04: Download the sample image files (file name: Forensics Images.zip). Use theAutopsy tool and find out the following details for any three files: (Marks assigned:13 Marks)
1. Number of images
2. Number of deleted files
3. Number of fragmented deleted files
4. Number of recoverable deleted files
5. File system type:
6. OEM Name:
7. Volume ID:
8. Sector Size:
9. Cluster Size:
10. Sector range of a few files:

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