An Ontology-Driven Approach for Modeling a Multi-agent-Based Electricity Market

2016 ◽  
pp. 27-40
Author(s):  
Geovanny Poveda ◽  
René Schumann
Keyword(s):  
Electricity Market ◽  
Agent Based ◽  
Multi Agent

Studying the effects of CO2 emissions trading on the electricity market: A multi-agent-based approach

2008 ◽  
pp. 91-101 ◽  
Author(s):  
Anke Weidlich ◽  
Frank Sensfuß ◽  
Massimo Genoese ◽  
Daniel Veit
Keyword(s):  
Co2 Emissions ◽  
Electricity Market ◽  
Emissions Trading ◽  
Agent Based ◽  
Multi Agent

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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