Using your skills learnt in Practical 01, select a recent (not older than three months) vulnerability from the National Vulnerability Database and analyse it from the following aspects:
Identify which strategies mitigate the vulnerability? As part of your solution you must provide a valid explanation of how each chosen strategy will be effective. You must provide at least two strategies. In the event that only one is applicable, you must clearly explain why all other strategies are not effective.
Search a number of antivirus companies’ websites (e.g. Symantec, McAfee, Kaspersky, F-Secure, AVG, Bit Defender, Webroot, ESET, G-Data, Avira, Lavasoft, Microsoft etc.). Find at least four sites that publish malware listings, and compare their malware lists.
Select two recent, different threats from an antivirus company’s database. Describe for each:
In a given system, passwords are required to be 8 to 12 characters in length.
Each character can be any alphanumeric character and passwords are case sensitive.
For authentication matching purposes, all passwords are hashed and stored in a password file.
The password file contains 1024 password hash values, with each belonging to a single user in the system.
Suppose an intruder has gotten access to the password file and the intruder has a dictionary containing 216 common passwords and there is a 6.25% chance that any given password is in that dictionary.
In addition the intruder has a computer that can generate and compare 109 hashes per second.
The delays and uncertainty over the recent US election have highlighted areas where security and technology both aid and limit the effectiveness of such systems.
Investigate various electronic election voting systems, their benefits and their various issues.
Contrast this against the pre-existing manual (in person and postal) voting processes and how these issues are addressed.
As part of your investigation, determine the types of attacks and security limitations that each is susceptible to. How do poorer countries without infrastructure deal with these issues?
How are issues such as non-repudiation, duplicate voting and other types of voter fraud detected and prevented in manual voting? What mechanisms and technologies are available to deal with these issues in electronic voting systems?
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