How can malicious packages in network traffic be detected?

With more people in Bangladesh getting online, there’s a growing challenge to keep the internet safe. The problem is that as more data moves across networks, there’s a higher chance for “malicious packages” – harmful bits of data designed to damage or steal information – to slip through. The main challenge is creating a system capable of accurately identifying these cyber threats amidst complex and high-volume network activities. This system must be data-driven, utilizing the latest in data analytics and machine learning to adapt to evolving cyber threats. Spotting these dangers is like finding a needle in a haystack because of the sheer amount of information being exchanged and the clever ways these threats disguise themselves. The task is to build a smart system that can quickly and accurately pick out these cyber threats from all the harmless data. This system needs to be really smart, learning as it goes by using the latest technology in data analytics and machine learning. Since cyber threats are always changing and getting more sophisticated, the system has to be able to learn from new threats it encounters and get better over time at stopping them. In simple terms, we’re looking for a technology-based solution that can keep up with the bad guys by constantly learning and adapting. This would make the internet a safer place for everyone in Bangladesh, protecting people’s information from being stolen or damaged.