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1 edition of Intrusion detection in real-time in a multi-node, multi-host environment found in the catalog.

Intrusion detection in real-time in a multi-node, multi-host environment

by Joseph D. Barrus

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  • 23 Currently reading

Published by Naval Postgraduate School, Available from National Technical Information Service in Monterey, Calif, Springfield, Va .
Written in English


About the Edition

While there exist many tools and methods used to recognize intrusions into single system environments, there are few that can recognize and handle attacks in real time. This group is further reduced when adding the complexity of recognizing and handling intrusions occurring in a heterogeneous networked environments. The results of the thesis are an open architecture design for a real-time intrusion detection system to handle intrusions in a heterogeneous network and the system requirements, specifications, protocols and software module design to support an implementation of a system using this architecture. The architecture presented herein comprises a distributed system of autonomous agents that reside on the various hosts in a network. These agents communicate with each other in a coordinated effort to identify and respond to intrusions into the network by sending messages to each other detailing the identity and threat level of a potential or imminent attack. To quantify the threat level of an ongoing attack, this thesis also presents an alert level hierarchy based on the danger level and transferability of the threat to the various hosts within the network.

Edition Notes

StatementJoseph D. Barrus
Classifications
LC ClassificationsB2416
The Physical Object
Paginationxii, 79 p. ;
Number of Pages79
ID Numbers
Open LibraryOL25295235M
OCLC/WorldCa640495629

An attempt to break or misuse a system is called “intrusion”. An intrusion nor-mally exploits a specific vulnerability and must be detected as quickly as possible. An intrusion detection system is a system for detecting such intrusions. Intrusion detection systems are notable components in network security infrastructure. They.   Network Intrusion Detection: Based on Deep Hierarchical Network and Original Flow Data Abstract: Network intrusion detection plays a very important role in protecting computer network security. The abnormal traffic detection and analysis by extracting the statistical features of flow is the main analysis method in the field of network intrusion Cited by: 4.

A network intrusion detection system (NIDS) detects malicious traffic on a network. NIDSs usually require promiscuous network access in order to analyze all traffic, including all unicast traffic. NIDSs are passive devices that do not interfere with the traffic they monitor; Figure shows a typical NIDS architecture. The NIDS sniffs the internal interface of the firewall in read-only mode. system, is capable of performing real-time traffic analysis and packet logging on IP networks. It can handle various intrusion detection techniques like buffer overflow, protocol analysis, CGI attack and many i et al. [7] proposed an Intrusion Detection System which defines a term called “Reputation” that is assigned to.

The failure of the intrusion prevention techniques to adequately secure computer systems has lead to the growth of Intrusion Detection System. In this study, we have designed and implemented a distributed, network-based intrusion detection system – Sachet. A network intrusion detection system (NIDS) is deployed at a strategic point or points within the network, where it can monitor inbound and outbound traffic to and from all the devices on the network.


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Intrusion detection in real-time in a multi-node, multi-host environment by Joseph D. Barrus Download PDF EPUB FB2

The results of the thesis are an open architecture design for a real-time intrusion detection system to handle intrusions in a heterogeneous network and the system requirements, specifications, protocols and software module design to support an implementation of a system using this : The results of the thesis are an open architecture design for a real-time intrusion detection system to handle intrusions in a heterogeneous network and the system requirements, specifications, protocols and software module design to support an implementation of a system using this : Joseph D.

Barrus. Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection Intrusion detection in real-time in a multi-node, multi-host environment.

Most intrusion-detection systems currently rely on some type of centralized processing to analyze the data necessary to detect an intruder in real time. A centralized approach can be vulnerable to attack. If an intruder can disable the central detection system, then most, if not all, protection is : Dennis J.

Ingram. the intrusion detection system’s (IDS) processing time to detect these attacks. The demand for reducing the processing time has increased when dealing with real time IDS. Several methods were proposed, such as improving the algorithm, or improving the IDS’s.

In this paper, we expand our visual monitoring environment to support multiple monitored systems and provide an effective layout of the nodes (hosts) for the analysis of the networked environment.

We discuss the analysis and correlation strategies needed in such a multi-host environment in order to identify unusual activity. Furthermore, a real-time intrusion detection system has been also proposed based on apache Hadoop for ultra-high speed big data environment [2], which detects unknown networks attacks using.

I will also build my own network intrusion detection system (NIDS) to detect and report suspicious packets based on my classifier predictions. After achieving certain threshold of accuracy, I will implement my NIDS method on an FPGA board or other external devices with the goal of.

in selecting an intrusion detection system. In this work, three open source intrusion detection systems – Snort, Firestorm, Prelude – and a commercial intrusion detection system, Dragon, are evaluated using DARPA data set in order to identify the factors that will effect such a decision.

The remainder of the paper is organized as follows. The intrusion detection system typically uses a network adapter in promiscuous mode that listens and analyzes all traffic in real-time as it travels across the 32 /98/$Elsevier Science Ltd Network-versus host-based intrusion detection Config User Kernel Software Hardware Figure 1 Design of a network intrusion detection Cited by:   Network Intrusion Detection is the process of recognizing the forthcoming threats or malicious activities in a network in order to avoid critical disruptions in the system.

We identify the nature of threat that may affect the network and try to recognize their possibility through different supervised machine learning algorithms thereby.

Now, there's a start-to-finish guide to making the most of it: The Practical Intrusion Detection Handbook by Paul E. Proctor. "Intrusion detection has gone from a theoretical concept to a practical solution, from a research dream to a major product area, from an idea worthy of study to a key element of the national plan for cyber defense.

Intrusion detection is the process of identifying and (possibly) responding to malicious activities targeted at computing and network resources.

Any hardware or software automation that monitors, detects or responds to events occurring in a network or on a host computer is considered relevant to the intrusion detection approach. occurs when an intrusion-detection system flags a legitimate action in the environment as anomalous or intrusive.

Performance. The performance of an intrusion-detection system is the rate at which audit events are processed.

If the performance of the intrusion-detection system is poor, then real-time detection is not possible. Size: KB. Intrusion Detection in Real Time in a Multi-Node, Multi-Host Environment.

M.S. thesis, Naval Postgraduate School, Monterey, CA September [Kumar, ] Sandeep Kumar. Classification and Detection of Computer Intrusions.

Department of Computer Sciences, Purdue University. Ph.D. Dissertation,   Network intrusion detection system using various data mining techniques Abstract: There are many risk of network attacks in the Internet environment. Nowdays, Security on the internet is a vital issue and therefore, the intrusion detection is one of the major research problem for business and personal networks which resist external by: Hybrid Intrusion Detection, and Network-Node Intrusion Detection System [2].

IDSs can be classified according to where and how data is processed into Distributed-Based Intrusion Detection System and Centralized-Based Intrusion Detection System [3]. With respect to the method of analysis the collected data by IDS, IDSs can be classified into two.

Intrusion Detection System (IDS) defined as a Device or software application which monitors the network or system activities and finds if there is any malicious activity occur. Network Intrusion Detection, Third Edition is dedicated to Dr. Richard Stevens Stephen Northcutt: I can still see him in my mind quite clearly at lunch in the speaker's room at SANS conferences—long blond hair, ponytail, the slightly fried look of someone who gives his all for his students.

I remember the scores from his comment Size: 2MB. Intrusion detection for grid and cloud computing Cloud and Grid computing are the most vulnerable targets for intruder‟s attacks due to their distributed environment.

For such environments, Intrusion Detection System (IDS) can be used to enhance the security measures by a systematic examination of logs, configurations and network. In this work, an intrusion detection system (IDS) framework based on multi-level clustering for hierarchical wireless sensor networks is proposed.

The framework employs two types of intrusion detection approaches: (1) “downward-IDS (D-IDS)” to detect the abnormal behavior (intrusion) of the subordinate (member) nodes; and (2) “upward-IDS Cited by: 8.detection. Keywords— Intrusion detection, monitoring data, logging, data mining, I.

INTRODUCTION An intrusion is defined as any set of actions that attempt to compromise the integrity, confidentiality or availability of a resource.

Intrusion detection is classified into two types: misuse intrusion detection and anomaly intrusion detection.Intrusion Detection System is any hardware, software, or a combination of both that monitors a system or network of systems against any malicious activity. People are getting often confused with IDS, as they consider that it is a functionality of a firewall security system, but its way more than that.