I am thinking to solve something like problems of identifying malicious activity.but there are lot of papers on that.any ideas regarding the network security much deeply to solve
Dear Akku Jimin,
Aparna Murthy is right, before choosing the book you want to read, it would be nice to learn how to read.
There are two standing out problems in the network security. The first one is how to secure information flowing through the network from being stolen. That's solved by encryption/decryption algorithms and protocols. The second problem is how to trust someone(s) on the network who you don't see/talk directly. That's being cured with authentication algorithms and protocols.
12 Network Security Threats And Their Solutions
https://www.clickssl.net/blog/network-security-threats-and-their-solutions
Many algorithms are now there for secure transfer....and many new are now being built also...I want to built something based on the recent vulnerabilities....as I am a fresher...I am just out of ideas now...😩...
start with the issues, not the tools. For instance, you may consider classifying malicious activities in the network area, the attacks, or the impact.
Hello,
Great discussion. Depending on interest some general subjects that need work are
-Malware detection and technology
-Vulnerability detection models
-Poisoning attacks and defense
-Architecture and attack graphs
-Blockchains for network security
and can I add details to one of them.
Rachid Ait Maalem Lahcen Thanku sir....It was a great help..
Can i ask a doubt ??....Now log analysis is also I am thinking...like log anomaly detection....and is there any new way to apply to how to solve these detection like method ...like that...?
Detection of anomalies is important and needs artificial intelligence to deal with large log of data. Looking at log based anomaly detection one can explore machine learning methods, especially current solutions provided by unsupervised machine learning algorithms or to check survey papers on unsupervised anomaly detection models. There is more work to be done to improve traditional anomaly detection methods because those methods make some assumptions about data that new methods should overcome for reliability and effectiveness. If you are interested in looking at industries you can check the work of Oracle, Hewlett Packard Enterprise Development LP, JP Morgan Chase Bank, PayPal, etc.
Thank you
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