Enhancement of system resilience under intentional attack
There are many types of networks that exist around us. One of the most commonly used networks are the scale-free networks. Example of such networks that are present around us include the Internet and social networks. However, scale-free networks are susceptible to intentional attacks. As scale-free...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/78152 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | There are many types of networks that exist around us. One of the most commonly used networks are the scale-free networks. Example of such networks that are present around us include the Internet and social networks. However, scale-free networks are susceptible to intentional attacks. As scale-free networks are prevalent in our daily lives, it is important to study the network and design methods to enhance the resilience of the scale-free network when it is under intentional attack. In this report, the impact of scale-free network under both intentional attack and random attack would be tested. Evaluations would be made after observing the impacts the simulation of attack have on the network. Thereafter, attachment of edges to the random nodes would be carried out. The results obtained would be used to evaluate if the scale-free network is successfully enhanced. Python would be used throughout this project to construct, simulate and evaluate the effects intentional attack on scale-free networks. |
|---|