List of Articles سیستم چند عاملی

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  1 - A new reinforcement learning based multi-agent method for traffic shaping and buffer allocation in routers
  Hooman Tahayori
  Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 More

  Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal" mso-tstyle-rowband-size:0 mso-tstyle-colband-size:0 mso-style-noshow:yes mso-style-priority:99 mso-style-qformat:yes mso-style-parent:"" mso-padding-alt:0cm 5.4pt 0cm 5.4pt mso-para-margin:0cm mso-para-margin-bottom:.0001pt mso-pagination:widow-orphan font-size:11.0pt font-family:"Calibri","sans-serif" mso-ascii-font-family:Calibri mso-ascii-theme-font:minor-latin mso-fareast-font-family:"Times New Roman" mso-fareast-theme-font:minor-fareast mso-hansi-font-family:Calibri mso-hansi-theme-font:minor-latin mso-bidi-font-family:Arial mso-bidi-theme-font:minor-bidi} Abstract In this paper, realizing the distributed structure of computer networks, the random behaviors in such networks, and the time limitations for control algorithms, the concepts of reinforcement learning and multi-agent systems are invoked for traffic shaping and buffer allocation between various ports of a router. In fact, a new traffic shaper based on token bucket has been developed. In this traffic shaper, instead of a static token production rate, a dynamic and intelligent rate based on the network condition is specified. This results in a reasonable utilization of bandwidth while preventing traffic overload in other part of the network. Besides, based on the stated techniques a new method for dynamic buffer allocation in the ports of a router is developed. This leads to a reduction in the total number of packet dropping in the whole network. Simulation results show the effectiveness of the proposed techniques. Manuscript profile
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  2 - A Novel Model for detecting intrusion with Mobile Agent and Game theory
  Amin Nezarat mehdi raja Gholamhossein Dastghaibyfard
  The proposed framework applies two game theoretic models for economic deployment of intrusion detection system (IDS). The first scheme models and analyzes the interaction behaviors of between an attacker and intrusion detection agent within a non-cooperative game, and t More

  The proposed framework applies two game theoretic models for economic deployment of intrusion detection system (IDS). The first scheme models and analyzes the interaction behaviors of between an attacker and intrusion detection agent within a non-cooperative game, and then the security risk value is derived from the mixed strategy Nash equilibrium. The second scheme uses the security risk value to compute the Shapley value of intrusion detection agent under the various threat levels. Therefore, the fair agent allocation creates a minimum set of IDS deployment costs. Numerical examples show that the network administrator can quantitatively evaluate the security risk of each intrusion detection agent and easily select the most effective IDS agent deployment to meet the various threat levels. Manuscript profile
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  3 - Presenting a model for using mobile agents in distributed intrusion detection systems based on game theory
  امین نظارات مهدی رجا Gholamhossein Dastghaibyfard
  20.1001.1.27170411.1395.8.27.6.2
  Network intrusion detection systems are tools used to protect network resources from attacks. Due to the spread of attacks in the Internet space and the change in the form and type of attacks from centralized to distributed, the architecture of such systems is also movi More

  Network intrusion detection systems are tools used to protect network resources from attacks. Due to the spread of attacks in the Internet space and the change in the form and type of attacks from centralized to distributed, the architecture of such systems is also moving towards distribution. In this article, a method based on mobile agents that act as sensors for detecting invalid movements is proposed. Mobile attack detection agents are scattered in the network moving from one node to another and at any time they build a security upper network and use a kind of cooperative game and communicate with each other, after reaching the Shipley value. They can detect and report the extent and origin of the attack. In this article, a method is proposed that WGA in a non-cooperative game with the attacking element tries to establish a revelation communication in order to calculate the value of Nash and reach the maximum utility, so that it can separate the attacks or real requests, the amount and intensity of the attack with Get help from other WGA Manuscript profile