The problem CyberCure solves

CyberCure is a ** machine learning powered ** one stop solution for all your cyber security problems, be it ** malware detection **, ** image forgery detection **, ** intrusion detection **, etc. Intrusion is any unlawful activity on the network that can harm the system. The advantage of ML based systems for its detection is that it can quickly adapt to ever increasing types of attack patterns. Similar is the case with malware detection. Now, one of our highlights is the image forgery detection. As you all are aware of the impact of morphed images on the victim and their impact in shaping political/ social rift, it is extremely important to be able to detect tampered images as soon as possible. This is where our model comes to rescue, it is capable of detecting the tampered areas separate from the original image and thus proves to be of great help in forgery detection. Apart from these we also support a basic ** password strength checker ** which is a nice little feature.

Challenges we ran into

While trying to implement image forgery detection, we initially faced a lot of problem in finding good datasets, and then in training the model. But this also made us realize the importance of our project in being able to provide a user friendly option to check for image forgery because of close to none options present on the internet.