CYBERSECURITY SYSTEM

Abstract

ABSTRACT A cybersecurity system (100) is disclosed for real-time detection of cyber attacks using deep learning techniques. The system (100) comprises a plurality of sensors configured to detect various parameters associated with network traffic, a communication module to upload these parameters to a centralized analysis system, and a processor that analyzes the parameters to detect anomalies. The system generates immediate alert notifications and offers a user interface for monitoring security metrics and trends. Advanced data analysis and integration with external threat intelligence sources enhance the system's capability to detect both known and emerging cyber threats. <>

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of cybersecurity, and in particular, to a system and method for real-time detection of cyber-attacks using deep learning techniques.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Cybersecurity has become an increasingly critical aspect of modern technology as cyber-attacks have grown in frequency and sophistication. Traditional methods of detecting cyber-attacks often rely on signature-based detection, where known patterns of maliciou , Claims:1. A cybersecurity system (100) for real-time detection of cyber-attacks using deep learning techniques, comprising:
a plurality of sensors configured to detect one or more parameters associated with network traffic;
a communication module coupled with the plurality of sensors, wherein the communication module is configured to upload the one or more parameters to a centralized analysis system;
a processor communicatively coupled with the communication module, configured to receive the one or more parameters from the centralized analysis system, analyze the one or more parameters, determine anomalies associated with network traffic, and generate an alert notification on an alarming device regarding the anomalies.

2. The system (100) as claimed in claim 1, wherein the plurality of sensors includes network traffic sensors, intrusion detection sensors, and behavioral analysis sensors.

3. The system (100) as claimed in claim 1, wherein the one or more parameters include network traffic patterns, unusual login at

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