CIUCEU

2009 ◽  
Vol 1 (4) ◽  
pp. 30-48
Author(s):  
David Rodrigues
Keyword(s):  
Communication Network ◽  
Network Formation ◽  
Real Data ◽  
Informal Communication ◽  
University Environment ◽  
Agent Based ◽  
Agent Model ◽  
Detection Techniques ◽  
Multi Agent ◽  
Full Knowledge

In this article, a study on informal communication network formation in a university environment is presented. The teacher communication network is analyzed through community detection techniques. It is evident that informal communication is an important process that traverses the vertical hierarchical structure of departments and courses in a university environment. A multi-agent model of the case study is presented here, showing the implications of using real data as training sets for multi-agent-based simulations. The influence of the “social neighborhood,” as a mechanism to create assortative networks of contacts without full knowledge of the network, is discussed. It is shown that the radius of this social neighborhood has an effect on the outcome of the network structure and that in a university’s case this distance is relatively small.

Multi-Agent–Based Simulation of University Email Communities

2011 ◽  
pp. 273-291
Author(s):  
David Rodrigues
Keyword(s):  
Communication Network ◽  
Network Formation ◽  
Real Data ◽  
Informal Communication ◽  
University Environment ◽  
Agent Based ◽  
Detection Techniques ◽  
The Social ◽  
Multi Agent ◽  
Full Knowledge

In this chapter, a study on informal communication network formation in a university environment is presented. The teacher communication network is analyzed through community detection techniques. It is evident that informal communication is an important process that traverses the vertical hierarchical structure of departments and courses in a university environment. A multi-agent model of the case study is presented here, showing the implications of using real data as training sets for multi-agent-based simulations. The influence of the “social neighborhood,” as a mechanism to create assortative networks of contacts without full knowledge of the network, is discussed. It is shown that the radius of this social neighborhood has an effect on the outcome of the network structure and that in a university’s case this distance is relatively small.

Browser Security Attacks and Detection Techniques: A Case of Tabnabbing

2020 ◽  
Vol 8 (1) ◽  
pp. 33-41
Author(s):  
Dr. S. Sarika ◽  
Keyword(s):  
Credit Card ◽  
State Of The Art ◽  
Experimental Results ◽  
Detection Technique ◽  
Security Attacks ◽  
Agent Based ◽  
Detection Techniques ◽  
Browser Security ◽  
Cyber Threats ◽  
Multi Agent

Phishing is a malicious and deliberate act of sending counterfeit messages or mimicking a webpage. The goal is either to steal sensitive credentials like login information and credit card details or to install malware on a victim’s machine. Browser-based cyber threats have become one of the biggest concerns in networked architectures. The most prolific form of browser attack is tabnabbing which happens in inactive browser tabs. In a tabnabbing attack, a fake page disguises itself as a genuine page to steal data. This paper presents a multi agent based tabnabbing detection technique. The method detects heuristic changes in a webpage when a tabnabbing attack happens and give a warning to the user. Experimental results show that the method performs better when compared with state of the art tabnabbing detection techniques.

scholarly journals A Novel Multi-Agent Model for Robustness with Component Failure and Malware Propagation in Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4873
Author(s):  
Biao Xu ◽  
Minyan Lu ◽  
Hong Zhang ◽  
Cong Pan
Keyword(s):  
Wireless Sensor ◽  
Component Reliability ◽  
Agent Based ◽  
Agent Model ◽  
Cross Domain ◽  
Malware Propagation ◽  
Network Topologies ◽  
Multi Agent ◽  
Agent Characteristics ◽  
Information Domain

A wireless sensor network (WSN) is a group of sensors connected with a wireless communications infrastructure designed to monitor and send collected data to the primary server. The WSN is the cornerstone of the Internet of Things (IoT) and Industry 4.0. Robustness is an essential characteristic of WSN that enables reliable functionalities to end customers. However, existing approaches primarily focus on component reliability and malware propagation, while the robustness and security of cascading failures between the physical domain and the information domain are usually ignored. This paper proposes a cross-domain agent-based model to analyze the connectivity robustness of a system in the malware propagation process. The agent characteristics and transition rules are also described in detail. To verify the practicality of the model, three scenarios based on different network topologies are proposed. Finally, the robustness of the scenarios and the topologies are discussed.

A Study on the Agent-Based Vehicles Dispatching Optimization at Container Terminals

2012 ◽  
Vol 241-244 ◽  
pp. 1745-1750
Author(s):  
Nan Nan Yan ◽  
Di Zheng
Keyword(s):  
Decision Support ◽  
Analytic Hierarchy Process ◽  
Container Terminal ◽  
Container Terminals ◽  
Analytic Hierarchy ◽  
Agent Based ◽  
Agent Model ◽  
Contract Net ◽  
Multi Agent ◽  
Hierarchy Process

This paper mainly concentrated on the method of improving the dispatching trucks working at a container terminal and built the multi-agent model for the dispatching job. The contract net protocol was taken as the communication ones among agents, and the analytic hierarchy process was also applied for the decision support for container trucks dispatching.

Multi-Agent Based Simulation Model for Rail Transit Evacuation Process

2014 ◽  
Vol 1030-1032 ◽  
pp. 2044-2049
Author(s):  
Can Can Zhao ◽  
Xiao Hong Guo ◽  
Juxihong Julaiti ◽  
Jie Wang
Keyword(s):  
Simulation Model ◽  
Rail Transit ◽  
Evacuation Simulation ◽  
Transit System ◽  
Agent Based ◽  
Agent Model ◽  
Agent Simulation ◽  
Multi Agent ◽  
The Military ◽  
Specific Definition

In order to analyze the evacuation behaviors and optimize evacuation strategies for rail transit system, an evacuation agent centered simulation model was proposed. Firstly, by considering the attributes, status and decision-making behaviors of evacuation personnel, the evacuation agent model was established, and the running principle as well as construction process of multi-agent simulation model was discussed. Then, the specific definition and design for the agent attributes and evacuation behavior protocol were provided. Finally, based on the simulation model proposed, an evacuation simulation platform for the military museum station of Beijing subway line 9 was established by using REPAST and JAVA, several evacuation strategies were tested and optimized.

AGENT BASED DATA STORAGE AND DISTRIBUTION IN DATA WAREHOUSES

2008 ◽  
Vol 18 (05) ◽  
pp. 597-617 ◽  
Author(s):  
NADER KOLSI ◽  
ABDELAZIZ ABDELLATIF ◽  
KHALED GHEDIRA
Keyword(s):  
Data Warehouse ◽  
Data Storage ◽  
Data Distribution ◽  
Distributed Data ◽  
Agent Based ◽  
Agent Model ◽  
Capacity Limit ◽  
Processing Resources ◽  
Multi Agent ◽  
Distributed Data Warehouse

The data warehouse (DWH) is usually presented as a centralized database. In this paper, we propose a new approach to manage data storage and distribution in a data warehouse environment. This approach deals with the dynamic data distribution of the DWH on a set of servers. The data distribution that we consider is different from the "classical" one which depends on the data use. The distribution in our approach consists in distributing data when the server reaches its storage capacity limit. This distribution assures the scalability and exploits the storage and processing resources available in the organization using the data warehouse. It is worth noting that our approach is based on a multi-agent model mixed with the scalability distribution proposed by the Scalable Distributed Data Structures. The proposed multi-agent model is composed of stationary agent classes: Client, Dispatcher, Domain and Server, and a mobile agent class called Messenger. These agents collaborate and interact to achieve automatically the storage, the splitting (distribution), the redirection and the access operations on the distributed data warehouse. In this paper, we demonstrate the improvements obtained when we have used the multi-agent system and the Messenger agents in the data storage operation.

A Versatile Multi-Agent Traffic Simulator Framework Based on Real Data

2016 ◽  
Vol 25 (01) ◽  
pp. 1660006 ◽  
Author(s):  
Alexandre Bonhomme ◽  
Philippe Mathieu ◽  
Sébastien Picault
Keyword(s):  
Decision Support ◽  
Road Traffic ◽  
Real Data ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Traffic Conditions ◽  
Prototype Tool ◽  
Microscopic Models ◽  
Wide Range ◽  
Multi Agent

Among real-system applications of AI, the field of traffic simulation makes use of a wide range of techniques and algorithms. Especially, microscopic models of road traffic have been expanding for several years. Indeed, Multi-Agent Systems provide the capability of modeling the very diversity of individual behaviors. Several professional tools provide comprehensive sets of ready-made, accurate behaviors for several kinds of vehicles. The price in such tools is the difficulty to modify the nature of programmed behaviors, and the specialization in a single purpose, e.g. either studying resulting ows, or providing an immersive virtual reality environment. Thus, we advocate for a more exible approach for the design of multi-purpose tools for decision support. Especially, the use of geographical open databases offers the opportunity to design agent-based traffic simulators which can be continuously informed of changes in traffic conditions. Our proposal also makes decision support systems able to integrate environmental and behavioral modifications in a linear fashion, and to compare various scenarios built from different hypotheses in terms of actors, behaviors, environment and ows. We also describe here the prototype tool that has been implemented according to our design principles.

INNOVATION AND SELF-ORGANIZATION IN A MULTI-AGENT MODEL

2009 ◽  
Vol 12 (02) ◽  
pp. 233-253 ◽  
Author(s):  
TANYA ARAÚJO ◽  
R. VILELA MENDES
Keyword(s):  
Utility Function ◽  
The Other ◽  
Self Organization ◽  
Abstract Model ◽  
Agent Based ◽  
Agent Model ◽  
Multi Agent

A model is developed to study the effectiveness of innovation and its impact on structure creation on agent-based societies. The abstract model that is developed is easily adapted to any particular field. In an interacting environment, the agents receive something from the environment (the other agents) in exchange for their effort and pay the environment a certain amount of value for the fulfilling of their needs or for the very price of existence in that environment. This is coded by two bit strings and the dynamics of the exchange is based on the matching of these strings to those of the other agents. Innovation is related to the adaptation by the agents of their bit strings to improve some utility function.

scholarly journals Spatiotemporal Modeling of the Smart City Residents’ Activity with Multi-Agent Systems

2019 ◽  
Vol 9 (10) ◽  
pp. 2059 ◽  
Author(s):  
Robert Olszewski ◽  
Piotr Pałka ◽  
Agnieszka Turek ◽  
Bogna Kietlińska ◽  
Tadeusz Płatkowski ◽  
...  
Keyword(s):  
Smart City ◽  
Social Activity ◽  
Real Data ◽  
Actor Network Theory ◽  
Spatial Arrangement ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Agent Systems ◽  
Spatial Objects ◽  
Multi Agent

The article proposes the concept of modeling that uses multi-agent systems of mutual interactions between city residents as well as interactions between residents and spatial objects. Adopting this perspective means treating residents, as well as buildings or other spatial objects, as distinct agents that exchange multifaceted packages of information in a dynamic and non-linear way. The exchanged information may be reinforced or diminished during the process, which may result in changing the social activity of the residents. Utilizing Latour’s actor–network theory, the authors developed a model for studying the relationship between demographic and social factors, and the diversified spatial arrangement and the structure of a city. This concept was used to model the level of residents’ trust spatiotemporally and, indirectly, to study the level of social (geo)participation in a smart city. The devised system, whose test implementation as an agent-based system was done in the GAMA: agent-based, spatially explicit, modeling and simulation platform, was tested on both model and real data. The results obtained for the model city and the capital of Poland, Warsaw, indicate the significant and interdisciplinary analytical and scientific potential of the authorial methodology in the domain of geospatial science, geospatial data models with multi-agent systems, spatial planning, and applied social sciences.

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