Intellectual Property
A System And Method For Detecting Network Intrusion In Real-Time
Patent Number – 548881
Application Number – 202311054633
Description:
The invention introduces a network intrusion detection system (NIDS) that employs distributed correlation among independent IDS nodes to identify and mitigate network-based attacks. Each node features a signature-based detection engine for known malware and a machine learning-driven behavioral analysis engine for isolating potential threats. By sharing threat information, the system enhances detection capabilities in real-time, blocking malware before it can cause harm and providing detailed reports for administrators. This scalable and adaptable solution offers efficient network security tailored to organizational needs, making it ideal for large-scale environments.
A System To Identify Malware And Suggest Remedial Methods Against The Malware
Patent Number – 541945
Application Number – 202311001171
Description:
The invention is an advanced anti-malware bot that enhances server security by analyzing user-sent URLs and attachments. Key features include a logging system, link scanning for safety verification, explicit content detection, and prevention of bulk pinging and link submissions. It also blocks users flagged as malicious. Additionally, the bot serves as a live chat system for users to upload malware information, receive relevant data and solutions, and connect with authorized personnel for further assistance if needed.
Movie Performance Prediction System And Method Thereof
Patent Number – 544222
Application Number – 202311007872
Description:
The invention predicts movie performance using machine learning algorithms, such as SVM, NLP, and neural networks, by analyzing features like Rotten Tomatoes scores, IMDb votes, budget, and box office data. It assesses factors such as genre, cast, director, shooting location, music score, and social media engagement. The Cinema Ensemble Model (CEM) incorporates data from platforms like Twitter and blogs to improve accuracy. Various techniques, including logistic regression and decision trees, are tested to enhance box office success predictions, providing production companies with valuable insights for advertising strategies.
