Ant colony optimization based network intrusion feature selection and detection

Gao, Haihua; Yang, Huihua; Wang, Xingyu

doi:10.1109/icmlc.2005.1527615

Cited by 20 publications

(3 citation statements)

References 9 publications

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“…In this mainly used no: of Nodes (N) and Ares which are undirected(A).For creating path to build minimization or maximization problems these two points plays important role like source and destination nodes. In this optimization method the above two points will act as for the nest and food source [14].To build the solution ants will generate the loops as well as by updating of pheromone it will be attractive. These ants will behave like real ants for solving the problems either maximization or minimization.…”

Section: Ant Colony Optimizationmentioning

confidence: 99%

Optimization of Process Parameters for Agitation of Two Phases Using Ant Colony Optimization

JANASWAMY,

C.M

2024

Preprint

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Ant Colony Optimization algorithm is one among the best optimization algorithm for Non deterministic polynomial-hard problems like maximum power for agitation and minimum of just suspension speed problems. The objective of this research is to satisfy the maximum power of Mechanical stirrer vessel equipment in mixing of solid and liquid phases with reference to solid particle diameter, jacketed vessel diameter and height, density of the slurry by varying the weight percentage. This effects the Zwietering’s mass ratio, Kinematic viscosity of slurry, Reynolds’s number and Froude number which varies the Zwietering’s constant value, impeller diameter and just suspension speed for uniform distribution which should be less than the impeller speed. The developed algorithm had been justified with standard mathematical functions and found satisfactory in above stated problems, sensitivity analysis also conducted. Finally, it has been concluded that the developed algorithm solves the problem in less computation time efficiently.

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Section: Ant Colony Optimizationmentioning

confidence: 99%

Optimization of Process Parameters for Agitation of Two Phases Using Ant Colony Optimization

JANASWAMY,

C.M

2024

Preprint

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“…A packet is the basic unit of data transmitted over a network, containing a header with the source and destination addresses, and a payload with the actual data. As the packet moves through the TCP/IP protocol stack, each layer adds or removes fields from the header, and when a protocol on the sender's end adds information to the header, it's called data encapsulation [6]. Additionally, the modified packet is given a distinct name at each layer, as depicted in the figure below.…”

Section: Data Encapsulation and The Tcp/ip Protocol Stackmentioning

confidence: 99%

TCP/Ip Protocol Suite for Network Communication

2023

IRJMETS

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The Internet protocol suite is a set of communication protocols and a computer networking model that's widely used on the Internet and similar networks. It's also known as TCP/IP, owing to its two most crucial protocols: the Transmission Control Protocol (TCP) and the Internet Protocol (IP), which were the first to be defined in this standard. Originally called the DoD model, after the agency that funded its development, it's now often referred to as the Internet model. TCP/IP enables end-to-end connectivity, outlining how data should be addressed, packetized, transmitted, routed, and received at the destination. It consists of four abstraction layers, which organize the functionality for all related protocols based on the networking scope involved. These layers, in order from lowest to highest, are the link layer, internet layer, transport layer, and application layer. Our goal is to describe the operation and models of the TCP/IP suite in data communication networking.

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“…Further, it is used in feature selection for IDS with interesting approach, but it is still limited. In this section, we present three improving works which are [67][68][69]. Table 13 and Table 14 illustrate the different proposed approach of ant colony for feature selection and their results.…”

Section: Ant Colony Optimizationmentioning

confidence: 99%

Feature Selection Algorithms in Intrusion Detection System: A Survey

2018

KSII TIIS

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Regarding to the huge number of connections and the large flow of data on the Internet, Intrusion Detection System (IDS) has a difficulty to detect attacks. Moreover, irrelevant and redundant features influence on the quality of IDS precisely on the detection rate and processing cost. Feature Selection (FS) is the important technique, which gives the issue for enhancing the performance of detection. There are different works have been proposed, but a map for understanding and constructing a state of the FS in IDS is still need more investigation. In this paper, we introduce a survey of feature selection algorithms for intrusion detection system. We describe the well-known approaches that have been proposed in FS for IDS. Furthermore, we provide a classification with a comparative study between different contribution according to their techniques and results. We identify a new taxonomy for future trends and existing challenges.

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Ant colony optimization based network intrusion feature selection and detection

Cited by 20 publications

References 9 publications

Optimization of Process Parameters for Agitation of Two Phases Using Ant Colony Optimization

Optimization of Process Parameters for Agitation of Two Phases Using Ant Colony Optimization

TCP/Ip Protocol Suite for Network Communication

Feature Selection Algorithms in Intrusion Detection System: A Survey

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