MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048119 A) filed by Ms. P. Devie Abirami; Dn Murali Krishna Rao; Chandra Prakash Katare Omprakash; Dr. P. Jayasree; Dr. Manjula Sanjay Koti; Dr. T. Haritha; Dayananda Sagar Academy Of Technology And Management; Dr. Adhiselvam A; Dr. D. Gokila; and Mr. Ramakrishnan. B, Coimbatore, Tamil Nadu, on April 15, for 'comparison analysis of different machine learning for enhancing network security.'
Inventor(s) include Ms. P. Devie Abirami; Dn Murali Krishna Rao; Chandra Prakash Katare Omprakash; Dr. P. Jayasree; Dr. Manjula Sanjay Koti; Dr. T. Haritha; Dr. Adhiselvam A; Dr. D. Gokila; and Mr. Ramakrishnan. B.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "Comparison analysis of different machine learning for enhancing network security Abstract: This paper explores various security issues in networks and the various types of attacks processed by malicious users and attackers. This study also proposed a safety for network risk analysis using a network of a system. Big Data, Cloud Computing and other advanced technologies are completely utilized by the survey system to accurately detect any network security threads and make an effort to alert user and pertinent departments of any ongoing security threads. This paper analyzed supervised learning methods and unsupervised learning methods in machine learning used for Intrusion Detection. The comparison results showed that the supervised learning methods are more effective in IDS detection when compared with unsupervised learning methods. In rapid development of information technology, Security of data is primarily considered worldwide. The modern environments adopt new advanced technologies to secure their data from various attackers. Network security represents the steps processed for ensuring protection in computer network where the data transaction is primarily achieved. This security is majorly required for all types of networks to keep their network safe and ensure the confidentiality of sensitive data in computer. Cyber attacks are the main threads for network security which considers the vulnerabilities in network to compromise security policies. Due to the growth of massive communication networks, the large amount of data transaction is processed all over the world. The increased number of malicious users intentionally attacks and damage the sources which are connected with network(Guo, 2024). The intruders with hidden agendas target government agencies and militaries for getting security information for financial benefits. Data Encryption methods are used to avoid the security issues while data transmission. The Cryptography is one of the powerful techniques which allows people to make secure data transaction. The modern cryptography techniques are used to improve the security standards to avoid data leakage and data breaches. These techniques are widely adopted and used to increase the privacy of user data and data integrity maintenance."
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