The Artificial Knowledge Interface for Reasoning Applications (AKIRA) project aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents featuring KQML, fuzzy logic, neural networks, fuzzy cognitive maps, and DIPRA. DIPRA is a distributed version of the BDI (Belief Desire Intention) goal oriented model.
EtherApe is a GNOME/pcap-based etherman, interman, and "tcpman" clone. It displays network activity graphically. Active hosts are shown as circles of varying size, and traffic among them is shown as lines of varying width. It supports Ethernet, FDDI, Token Ring, ISDN, PPP, WLAN, and SLIP transports. It knows about VLANs, IP, IPv6, TCP, UDP, FTP, and a number of other protocols. Additional statistics windows will let you concentrate on protocols or nodes.
Moodss is a modular monitoring application, which supports operating systems (Linux, UNIX, Windows, etc.), databases (MySQL, Oracle, PostgreSQL, DB2, ODBC, etc.), networking (SNMP, Apache, etc.), and any device or process for which a module can be developed (in Tcl, Python, Perl, Java, and C). An intuitive GUI with full drag'n'drop support allows the construction of dashboards with graphs, pie charts, etc., while the thresholds functionality includes emails and user defined scripts. Monitored data can be archived in a SQL database by both the GUI and the companion daemon, so that complete history over time can be made available from Web pages or common spreadsheet software. It can even be used for future behavior prediction or capacity planning, from the included predictor tool, based on powerful statistical methods and artificial neural networks.
Kismet is an 802.11 layer 2 wireless network detector, sniffer, and intrusion detection system. It will work with any wireless card which supports raw monitoring (rfmon) mode, and can sniff 802.11b, 802.11a, 802.11g, and 802.11n traffic (device drivers permitting). It identifies networks by passively collecting packets and detecting standard named networks, detecting (and given time, decloaking) hidden networks, and inferring the presence of non-beaconing networks via data traffic.
MCS MyRoute helps diagnose connectivity problems with detailed network routing discovery and analysis, providing visibility to poor-performing networks and devices. It includes a Java applet that enables remote users to easily test connections from the MyRoute server. Essential diagnostic tools including traceroute, ping, reverse DNS, and whois are combined into a single graphical interface that analyzes Internet connections, reporting quick and essential data points for finding connectivity problems. An IP location database identifies the geographical location of IP addresses and Web servers, showing the path of an Internet connection on a global map.
PasTmon (Passive Application Response Time Monitor) passively monitors your application servers, measuring and reporting user response times, throughput and congestion. It currently works with HTTP, telnet, rlogin, rsh, FTP (control channel), SMTP, POP3, and IRC. Measurements are recorded in a PostgreSQL database and are presented graphically via a PHP Web front-end using R statistical analysis scripts to create the plots.
Stager is a system for aggregating and presenting network statistics. Though tailored for using NetFlow data from the flow-tools package, it is generic and can be customized to present and process any kind of network statistics. The backend collects data with flow-tools and stores reports in a database, automatically handling the aggregation of hourly statistics into days, weeks, and months. The Web frontend presents data in tables, matrices, or plots. The reports are fully customizable, and their definitions are stored in the database.
MQ4CPP, or "Message Queuing for C++", is an implementation of an enterprise messaging system, also referred to as message-oriented middleware (MOM). It enables C++ application threads to communicate with other threads locally or remotely through the exchange of messages. A message is a request, report, and/or event that contains information needed to coordinate communication between different applications. MQ4CPP implements direct/indirect messaging, unsolicited messaging, request/reply, conversation, publish/subscribe, store & forward, and broadcast. It supports multithreading, application clustering (failover and session replication), and encryption. MQ4CPP also includes a distributed lock manager, a file transfer manager, and a distributed memory channel.