scholarly journals AGENT-BASED SIMULATION OF DDOS ATTACKS AND DEFENSE MECHANISMS

2014 ◽  
pp. 113-123
Author(s):  
Igor Kotenko ◽  
Alexander Ulanov
Keyword(s):  
Modeling And Simulation ◽  
Defense Mechanisms ◽  
Denial Of Service ◽  
Software Agents ◽  
Ddos Attacks ◽  
Software Environment ◽  
Agent Based ◽  
Agent Simulation ◽  
Multi Agent ◽  
Main Components

The paper considers an approach to modeling and simulation of cyber-wars in Internet between the teams of software agents. According to this approach, the cybernetic opposition of malefactors and security systems is represented by the interaction of two different teams of software agents – malefactors’ team and defense team. The approach is considered by an example of modeling and simulation of “Distributed Denial of Service” (DDoS) attacks and protection against them. The paper also describes the software environment for multi-agent simulation of defense mechanisms against DDoS attacks developed by the authors and different experiments. The main components of the software environment are outlined. One of the numerous experiments on protection against DDoS attacks is described in detail. The environment developed is based OMNeT++ INET Framework.

scholarly journals PERFORMANCE ANALYSIS OF AGENT BASED DISTRIBUTED DEFENSE MECHANISMS AGAINST DDOS ATTACKS

2018 ◽  
pp. 15-24 ◽  
Author(s):  
Karanbir Singh ◽  
Kanwalvir Singh Dhindsa ◽  
Bharat Bhushan
Keyword(s):  
Defense Mechanisms ◽  
Denial Of Service ◽  
Detection Algorithm ◽  
Attack Detection ◽  
Ddos Attacks ◽  
Defense System ◽  
Internet Service ◽  
Agent Based ◽  
Related Information ◽  
Edge Router

The current internet infrastructure is susceptible to distributed denial of service (DDoS) attacks and has no built in mechanism to defend against them. The research on these kinds of attacks and their defense is significant for the security and reliability of the internet. We have already proposed a collaborative agent based distributed DDoS defense scheme which detect and prevents against DDoS attacks in ISP (Internet Service Provider) boundaries. The actual task of defense is carried out by agents and coordinators in each ISP. The defense system works by inspecting incoming traffic on edge router and identify the happening of DDoS attacks. The agent’s implements an entropy-threshold based detection algorithm. The coordinators share attack related information with neighboring ISPs in order to achieve distributed defense. The performance of defense system is evaluated on the basis of some identified metrics. The effectiveness of the defense system is evaluated in the presence and absence of defense system. The result indicates that the proposed defense system does accurate attack detection with very few false positives and false negatives.

scholarly journals AGENT-BASED CROWD SIMULATION CONSIDERING EMOTION CONTAGION FOR EMERGENCY EVACUATION PROBLEM

2015 ◽  
Vol XL-1-W5 ◽  
pp. 193-196 ◽  
Author(s):  
H. Faroqi ◽  
M.-S. Mesgari
Keyword(s):  
Emergency Situation ◽  
Emergency Evacuation ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Emergency Evacuations ◽  
R Language ◽  
Simulated Model ◽  
Agent Simulation ◽  
Adults And Children ◽  
Multi Agent

During emergencies, emotions greatly affect human behaviour. For more realistic multi-agent systems in simulations of emergency evacuations, it is important to incorporate emotions and their effects on the agents. In few words, emotional contagion is a process in which a person or group influences the emotions or behavior of another person or group through the conscious or unconscious induction of emotion states and behavioral attitudes. In this study, we simulate an emergency situation in an open square area with three exits considering Adults and Children agents with different behavior. Also, Security agents are considered in order to guide Adults and Children for finding the exits and be calm. Six levels of emotion levels are considered for each agent in different scenarios and situations. The agent-based simulated model initialize with the random scattering of agent populations and then when an alarm occurs, each agent react to the situation based on its and neighbors current circumstances. The main goal of each agent is firstly to find the exit, and then help other agents to find their ways. Numbers of exited agents along with their emotion levels and damaged agents are compared in different scenarios with different initialization in order to evaluate the achieved results of the simulated model. NetLogo 5.2 is used as the multi-agent simulation framework with R language as the developing language.

Transdisciplinary Approach to Service Design Based on Consumer’s Value and Decision Making

2012 ◽  
pp. 57-74
Author(s):  
Takeshi Takenaka ◽  
Kousuke Fujita ◽  
Nariaki Nishino ◽  
Tsukasa Ishigaki ◽  
Yoichi Motomura
Keyword(s):  
Decision Making ◽  
Cognitive Model ◽  
Service Design ◽  
Research Area ◽  
Service Industries ◽  
Agent Based ◽  
Movie Theaters ◽  
Retail Business ◽  
Agent Simulation ◽  
Multi Agent

Science and technology are expected to support actual service provision and to create new services to promote service industries’ productivity. However, those problems might not be solved solely in a certain research area. This paper describes that it is necessary to establish transdisciplinary approaches to service design in consideration of consumers’ values and decision making. Recent research trends of services are overviewed. Then a research framework is proposed to integrate computer sciences, human sciences, and economic sciences. Three study examples of services are then presented. The first study is a multi-agent simulation of a cellular telephone market based on results of a psychological survey. The second presents a cognitive model constructed through integration of questionnaire data of a retail business and Bayesian network modeling. The third presents a pricing mechanism design for service facilities––movie theaters––using an economic experiment and agent-based simulation.

An Autonomous Multi-Agent Simulation Model for Acute Inflammatory Response

2013 ◽  
pp. 218-233 ◽  
Author(s):  
John Wu ◽  
David Ben-Arieh ◽  
Zhenzhen Shi
Keyword(s):  
Simulation Model ◽  
Focal Point ◽  
Therapeutic Interventions ◽  
Prognostic Indicators ◽  
Simulation Approach ◽  
Agent Based Model ◽  
Agent Based ◽  
Initial Stage ◽  
Agent Simulation ◽  
Multi Agent

This research proposes an agent-based simulation model combined with the strength of systemic dynamic mathematical model, providing a new modeling and simulation approach of the pathogenesis of AIR. AIR is the initial stage of a typical sepsis episode, often leading to severe sepsis or septic shocks. The process of AIR has been in the focal point affecting more than 750,000 patients annually in the United State alone. Based on the agent-based model presented herein, clinicians can predict the sepsis pathogenesis for patients using the prognostic indicators from the simulation results, planning the proper therapeutic interventions accordingly. Impressively, the modeling approach presented creates a friendly user-interface allowing physicians to visualize and capture the potential AIR progression patterns. Based on the computational studies, the simulated behavior of the agent–based model conforms to the mechanisms described by the system dynamics mathematical models established in previous research.

Transdisciplinary Approach to Service Design Based on Consumer's Value and Decision Making

2010 ◽  
Vol 1 (1) ◽  
pp. 58-75 ◽  
Author(s):  
Takeshi Takenaka ◽  
Kousuke Fujita ◽  
Nariaki Nishino ◽  
Tsukasa Ishigaki ◽  
Yoichi Motomura
Keyword(s):  
Decision Making ◽  
Cognitive Model ◽  
Service Design ◽  
Research Area ◽  
Service Industries ◽  
Agent Based ◽  
Movie Theaters ◽  
Retail Business ◽  
Agent Simulation ◽  
Multi Agent

Science and technology are expected to support actual service provision and to create new services to promote service industries’ productivity. However, those problems might not be solved solely in a certain research area. This paper describes that it is necessary to establish transdisciplinary approaches to service design in consideration of consumers’ values and decision making. Recent research trends of services are overviewed. Then a research framework is proposed to integrate computer sciences, human sciences, and economic sciences. Three study examples of services are then presented. The first study is a multi-agent simulation of a cellular telephone market based on results of a psychological survey. The second presents a cognitive model constructed through integration of questionnaire data of a retail business and Bayesian network modeling. The third presents a pricing mechanism design for service facilities––movie theaters––using an economic experiment and agent-based simulation.

scholarly journals On Distributed Denial of Service Current Defense Schemes

Technologies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 19 ◽  
Author(s):  
Seth Kotey ◽  
Eric Tchao ◽  
James Gadze
Keyword(s):  
Service Provider ◽  
Defense Mechanisms ◽  
Denial Of Service ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Major Threat ◽  
Highly Skilled

Distributed denial of service (DDoS) attacks are a major threat to any network-based service provider. The ability of an attacker to harness the power of a lot of compromised devices to launch an attack makes it even more complex to handle. This complexity can increase even more when several attackers coordinate to launch an attack on one victim. Moreover, attackers these days do not need to be highly skilled to perpetrate an attack. Tools for orchestrating an attack can easily be found online and require little to no knowledge about attack scripts to initiate an attack. Studies have been done severally to develop defense mechanisms to detect and defend against DDoS attacks. As defense schemes are designed and developed, attackers are also on the move to evade these defense mechanisms and so there is a need for a continual study in developing defense mechanisms. This paper discusses the current DDoS defense mechanisms, their strengths and weaknesses.

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