system utilization loggers - определение. Что такое system utilization loggers
Diclib.com
Словарь ChatGPT
Введите слово или словосочетание на любом языке 👆
Язык:

Перевод и анализ слов искусственным интеллектом ChatGPT

На этой странице Вы можете получить подробный анализ слова или словосочетания, произведенный с помощью лучшей на сегодняшний день технологии искусственного интеллекта:

  • как употребляется слово
  • частота употребления
  • используется оно чаще в устной или письменной речи
  • варианты перевода слова
  • примеры употребления (несколько фраз с переводом)
  • этимология

Что (кто) такое system utilization loggers - определение

Audit record generation and utilization system; Audit Record Generation and Utilization System; Argus - Audit Record Generation and Utilization System
  • Network Flow Monitoring Timeline

Argus – Audit Record Generation and Utilization System         
Argus – the Audit Record Generation and Utilization System is the first implementation of network flow monitoring, and is an ongoing open source network flow monitor project. Started by Carter Bullard in 1984 at Georgia Tech, and developed for cyber security at Carnegie Mellon University in the early 1990s, Argus has been an important contributor to Internet cyber security technology over its 30 years.
Carbon capture and utilization         
  • Fuels can be produced from algae
  • alt=
CLIMATE CHANGE MITIGATION MEASURE
Carbon capture and utilisation; Carbon dioxide recycling; Draft:Carbon capture and utilization
Carbon capture and utilization (CCU) is the process of capturing carbon dioxide (CO2) to be recycled for further usage. Carbon capture and utilization may offer a response to the global challenge of significantly reducing greenhouse gas emissions from major stationary (industrial) emitters.
overcapacity         
  • Capacity utilization (black line) in manufacture in the United States, [[unemployment rate]] (red line, upside down, scale on the right), [[employment rate]] (dotted line)
  • FRG]] and in the USA
ECONOMIC TERM
Excess capacity; Surplus capacity; Over-capacity; Capacity utilisation; Cyclical overcapacity; Capacity utilization rate; Capacity Utilization; Capacity utilisation rate; Excess Capacity; Overcapacity; Capital utilization rate; Industry capacity utilization; Factory capacity utilization; Capacity usage; Manufacturing Capacity utilization
¦ noun an excess of productive capacity.

Википедия

Argus – Audit Record Generation and Utilization System

Argus – the Audit Record Generation and Utilization System is the first implementation of network flow monitoring, and is an ongoing open source network flow monitor project. Started by Carter Bullard in 1984 at Georgia Tech, and developed for cyber security at Carnegie Mellon University in the early 1990s, Argus has been an important contributor to Internet cyber security technology over its 30 years. [1].

The Argus Project is focused on developing all aspects of large scale network situational awareness and network audit trail establishment in support of Network Operations (NetOps), Performance and Security Management. Motivated by the telco Call detail record (CDR), Argus attempts to generate network metadata that can be used to perform a large number of network management tasks. Argus is used by many universities, corporations and government entities including US DISA, DoD, DHS, FFRDCs, GLORIAD and is a Top 100 Internet Security Tool. Argus is designed to be a real-time situational awareness system, and its data can be used to track, alarm and alert on wire-line network conditions. The data can also be used to establish a comprehensive audit of all network traffic, as described in the Red Book, US DoD NCSC-TG-005, supplementing traditional Intrusion detection system (IDS) based network security. The audit trail is traditionally used as historical network traffic measurement data for network forensics and Network Behavior Anomaly Detection (NBAD). Argus has been used extensively in cybersecurity, end-to-end performance analysis, and more recently, software-defined networking (SDN) research. Argus has also been a topic in network management standards development. RMON (1995) and IPFIX (2001).

Argus is composed of an advanced comprehensive network flow data generator, the Argus monitor, which processes packets (either capture files or live packet data) and generates detailed network traffic flow status reports of all the flows in the packet stream. Argus monitors all network traffic, data plane, control plane and management plane, not just Internet Protocol (IP) traffic. Argus captures much of the packet dynamics and semantics of each flow, with a great deal of data reduction, so you can store, process, inspect and analyze large amounts of network data efficiently. Argus provides reachability, availability, connectivity, duration, rate, load, good-put, loss, jitter, retransmission (data networks), and delay metrics for all network flows, and captures most attributes that are available from the packet contents, such as Layer 2 addresses, tunnel identifiers (MPLS, GRE, IPsec, etc...), protocol ids, SAP's, hop-count, options, L4 transport identification (RTP detection), host flow control indications, etc... Argus has implemented a number of packet dynamics metrics specifically designed for cyber security. Argus detects human typing behavior in any flow, but of particular interest is key-stroke detection in encrypted SSH tunnels. and Argus generates the Producer Consumer Ratio (PCR) which indicates whether a network entity is a data producer and/or consumer, an important property when evaluating the potential for a node to be involved in an Advanced persistent threat (APT) mediated exfiltration.

Argus is an Open Source (GPL) project, owned and managed by QoSient, LLC, and has been ported to most operating systems and many hardware accelerated platforms, such as Bivio, Pluribus, Arista, and Tilera. The software should be portable to many other environments with little or no modifications. Performance is such that auditing an entire enterprise's Internet activity can be accomplished using modest computing resources.