Implementation of framework for developing multi-agent based automated negotiation systems

2005 ◽  
Author(s):  
Hyung Rim Choi ◽  
Hyun Soo Kim ◽  
Soon Goo Hong ◽  
Young Jae Park ◽  
Young Sung Park ◽  
...  
Keyword(s):  
Automated Negotiation ◽  
Agent Based ◽  
Multi Agent

A Multi-Agent-Based Automatic Negotiation for Distributed Manufacturing

2009 ◽  
Vol 16-19 ◽  
pp. 941-945
Author(s):  
Gui He Wang ◽  
Peng Cheng Su ◽  
Hu Li ◽  
Wan Shan Wang
Keyword(s):  
Automated Negotiation ◽  
Multilateral Negotiation ◽  
Agent Based ◽  
Negotiation Strategies ◽  
Multilateral Negotiations ◽  
Bilateral Contracts ◽  
Automatic Negotiation ◽  
Multi Agent ◽  
Negotiation Mechanism ◽  
Agent Structure

The concept of agent and multi-agent was introduced. The agent structure, negotiation strategies, and the negotiation mechanism were also researched. Based multi-agent, an automated negotiation method for bilateral contracts is proposed, which can efficiently carry out multilateral negotiations with multi-attributes in distributed environments. This framework supports efficiently multilateral negotiation. In the end, the negotiation is conducted and demonstrated that multi-agent can improve negotiation efficiency by saving negotiation time and cost.

A Multi-agent based Micro Grid Operation Method

2013 ◽  
Vol 133 (9) ◽  
pp. 1652-1657 ◽  
Author(s):  
Takeshi Nagata ◽  
Kosuke Kato ◽  
Masahiro Utatani ◽  
Yuji Ueda ◽  
Kazuya Okamoto ◽  
...  
Keyword(s):  
Agent Based ◽  
Operation Method ◽  
Multi Agent ◽  
Micro Grid ◽  
Grid Operation

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.

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