Abstract
Code Injection Attacks (CIAs) exploit security vulnerabilities and computer bugs that are caused by processing invalid code. CIA is a problem that hackers attempt to introduce to any new method, their objective being to bypass the protection system. This thesis presents three key areas related to the detection of and protection against CIAs, these are:
1. Detection of code injection attacks in many different approaches by using Snort tool, Counter Matrix, Multiplexer Methodologies, and GMSA.
2. Checking websites vulnerability against code injection attacks.
3. Web sanitisation from malicious code injection attacks.
Cybercriminals can use the Internet for criminal activities such as trading and buying drugs, forgery, piracy and terrorism. This thesis highlights the illicit activities happening on the dark side of the Internet, for example, measuring the presence of illicit activities inside the dark web pages, such as drugs, violence, forgery, and piracy.
1. Detection of code injection attacks in many different approaches by using Snort tool, Counter Matrix, Multiplexer Methodologies, and GMSA.
2. Checking websites vulnerability against code injection attacks.
3. Web sanitisation from malicious code injection attacks.
Cybercriminals can use the Internet for criminal activities such as trading and buying drugs, forgery, piracy and terrorism. This thesis highlights the illicit activities happening on the dark side of the Internet, for example, measuring the presence of illicit activities inside the dark web pages, such as drugs, violence, forgery, and piracy.
| Original language | English |
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| Qualification | Doctor of Information Technology |
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| Place of Publication | Australia |
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| Publication status | Published - 2019 |