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Host discovery – Identifying hosts on a network. For example, listing the hosts that respond to TCP and/or ICMP requests or have a particular port open. Port scanning – Enumerating the open ports on target hosts. Version detection – Interrogating network services on remote devices to determine application name and version number. [11]
Kismet differs from other wireless network detectors in working passively. Namely, without sending any loggable packets, it is able to detect the presence of both wireless access points and wireless clients, and to associate them with each other. It is also the most widely used and up to date open source wireless monitoring tool. [citation needed]
NetSpot is a software tool for wireless network assessment, scanning, and surveys, analyzing Wi-Fi coverage and performance. [1] It runs on Mac OS X 10.6+ and Windows 7, 8, 10, and 11.
Supports arranging the hosts or devices it monitors into user-defined groups. Trending Provides trending of network data over time. Trend Prediction The software features algorithms designed to predict future network statistics. Auto Discovery The software automatically discovers hosts or network devices it is connected to. Agentless
OpenNMS is a free and open-source enterprise grade network monitoring and network management platform. It is developed and supported by a community of users and developers and by the OpenNMS Group, offering commercial services, training and support.
KisMAC is a wireless network discovery tool for Mac OS X. It has a wide range of features, similar to those of Kismet (its Linux/BSD namesake). The program is geared toward network security professionals, and is not as novice-friendly as similar applications. Distributed under the GNU General Public License, [2] KisMAC is free software.
The main purpose of Lansweeper derives from a discovery phase of sweeping round a local area network (LAN) and maintaining an inventory of the hardware assets and software deployed on those assets. [3] Reports from the inventory enable complete hardware and software reports on the devices and can be used to identify problems. [4]
Multiple levels of Device and Graph organization via Site and Location attributes and Tree structures to organize Graphs, Devices and Sites; Distributed Data Collection using Remote Data Collectors which are resilient to intermittent network failures; Extendable via the Plugin Architecture; Automated Device Discovery including Graph and Tree ...