The collected data is kept in a secure warehouse by the use of a Trusted Platform Module. This is done by collecting information from all the VLANs and storing it in a central node, which can be accessed by the network administrator, who may consult and visualize the status in any moment, or even by other authorized applications. Given the distributed design of the architecture, it can cope with the problem of the isolation of different Virtual Local Area Networks (VLANs). The architecture has specifically been designed to discover the assets of medium and large size companies and institutions, such as hospitals, universities, or government buildings.
This paper presents an original Intelligent and Secure Asset Discovery Tool (ISADT) that uses artificial intelligence and TPM-based technologies to: (i) detect the network assets, and (ii) detect suspicious pattern in the use of the network. Packet, Sniffer, Protocol, Address, Network, Frame The outcome can aid network administrators to control Intranet access and provide security. Four network instructions were used in the analysis of the IP traffic and the results displayed the IP and Media Access Control (MAC) address sources and destinations of the frames, Ethernet, IP addresses, User Datagram Protocol (UDP) and Hypertext Transfer Protocol (HTTP).
The IP traffics were captured and analyzed using Wireshark Version 2.0.3. The LAN was deployed on windows 8 with a D-link 16-port switch, category 6 Ethernet cable and other LAN devices. It was implemented using five computer systems configured with static Internet Protocol (IP) addresses used in monitoring the IP traffic on the network by capturing and analyzing live packets from various sources and destinations in the network. This paper was designed to provide Intranet traffic monitoring by sniffing the packets at the local Area Network (LAN) server end to provide security and control.
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