MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202541116579 A) filed by Dr. Anitha S; Murali Kumar S; Muthukumaran M; Sanjay Kumar S; and Suganth J, Coimbatore, Tamil Nadu, on Nov. 25, 2025, for 'lan based automatic software installation system.'
Inventor(s) include Dr. Anitha S; Murali Kumar S; Muthukumaran M; Sanjay Kumar S; and Suganth J.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a LAN-Based Automatic Software Installation System designed to automate, secure, and monitor the complete software deployment lifecycle across multiple computing devices interconnected within a local area network (LAN). The system integrates modular components-comprising device discovery, secure package transfer, remote execution, virus scanning, post-installation verification, and comprehensive reporting-into a unified automation platform that minimizes manual labour while ensuring system integrity. Unlike traditional manual installation methods that require repetitive and error-prone human actions, the invention autonomously identifies all network endpoints using multi-protocol discovery techniques and securely distributes installation artifacts through encrypted channels. The system ensures each software package is validated and scanned for malware before execution, thereby maintaining enterprise-level security and compliance. Once installation commands are triggered remotely via PowerShell or SSH, the system executes silent or unattended installations concurrently across multiple devices, achieving high efficiency and parallelism. Post-installation, it verifies success through integrity checks, service validations, and registry analysis, generating comprehensive audit logs and reports accessible through an intuitive administrator dashboard. The LAN-Based Auto Installation System thus offers a self-reliant, intelligent, and secure deployment framework that reduces human effort, mitigates configuration inconsistencies, and accelerates software rollouts in enterprise environments. Future enhancements may include AI- based predictive maintenance, adaptive scheduling, and integration with centralized IT management platforms for fully autonomous network software governance."
Disclaimer: Curated by HT Syndication.
