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1. WO2020141957 - A METHOD AND APPARATUS FOR ORGANIZING AND DETECTING SWARMS IN A NETWORK

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Publication Number WO/2020/141957
Publication Date 09.07.2020
International Application No. PCT/KR2020/000186
International Filing Date 06.01.2020
IPC
H04L 29/08 2006.01
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
29Arrangements, apparatus, circuits or systems, not covered by a single one of groups H04L1/-H04L27/136
02Communication control; Communication processing
06characterised by a protocol
08Transmission control procedure, e.g. data link level control procedure
H04L 29/06 2006.01
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
29Arrangements, apparatus, circuits or systems, not covered by a single one of groups H04L1/-H04L27/136
02Communication control; Communication processing
06characterised by a protocol
CPC
G06F 9/542
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
46Multiprogramming arrangements
54Interprogram communication
542Event management; Broadcasting; Multicasting; Notifications
G06N 3/006
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
004Artificial life, i.e. computers simulating life
006based on simulated virtual individual or collective life forms, e.g. single "avatar", social simulations, virtual worlds or particle swarm optimisation
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06N 5/043
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5Computer systems using knowledge-based models
04Inference methods or devices
043Distributed expert systems; Blackboards
H04L 5/0067
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
5Arrangements affording multiple use of the transmission path
003Arrangements for allocating sub-channels of the transmission path
0058Allocation criteria
0067Allocation algorithms which involve graph matching
H04L 63/1425
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
63Network architectures or network communication protocols for network security
14for detecting or protecting against malicious traffic
1408by monitoring network traffic
1425Traffic logging, e.g. anomaly detection
Applicants
  • SAMSUNG ELECTRONICS CO., LTD. [KR]/[KR]
Inventors
  • A K, Mahesh Babu
Agents
  • Y.P.LEE, MOCK & PARTNERS
Priority Data
20191100051404.01.2019IN
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) A METHOD AND APPARATUS FOR ORGANIZING AND DETECTING SWARMS IN A NETWORK
(FR) PROCÉDÉ ET APPAREIL D'ORGANISATION ET DE DÉTECTION D'ESSAIMS DANS UN RESEAU
front page image
Abstract
(EN)
A method and an apparatus for organization and detection of homogeneous and heterogeneous swarms of devices and application of swarm intelligence using swarm intelligence framework are provided. The Swarm Intelligence Framework provides a generic platform for realizing solutions involving Swarm Intelligence Technology via flexible container-based Algorithm Plug-in Architecture which is essential to utilize Swarm Intelligence Framework for various scenarios and use cases, including dynamically loading and using the Swarm Detection Algorithm.
(FR)
L'invention concerne un procédé et un appareil d'organisation et de détection d'essaims homogènes et hétérogènes de dispositifs et une application d'intelligence en essaim à l'aide d'un cadre d'intelligence en essaim. Le cadre d'intelligence en essaim fournit une plate-forme générique pour réaliser des solutions impliquant une technologie d'intelligence en essaim par l'intermédiaire d'une architecture d'extension d'algorithme basée sur un conteneur souple qui est essentielle pour utiliser un cadre d'intelligence en essaim pour divers scénarios et cas d'utilisation, y compris le chargement dynamique et l'utilisation de l'algorithme de détection d'essaim.
Also published as
US20200220887
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