A New Fuzzy-Based Approach for Anonymity Quantification in E-Services

2014 ◽  
Vol 8 (3) ◽  
pp. 13-38
Author(s):  
Wiem Hammami ◽  
Ilhem Souissi ◽  
Lamjed Ben Said
Keyword(s):  
Fuzzy Logic ◽  
User Privacy ◽  
Online Services ◽  
Agent Based ◽  
Set Size ◽  
Multi Agent

In online services, making anonymous transactions is a crucial need in order to ensure the user's trust towards a particular service. In this context, anonymity quantification is required to provide at which level the e-service respects the user privacy regarding the link between his/her identity and actions. Most of the existing researches are limited to the anonymity quantification in a static way and based, mainly, on the user's set size. In this paper, the authors propose a new multi-agent based approach for anonymity quantification in e-services considering dynamic and mobile environment's characteristics. The authors' quantification is based on the fuzzy logic. It is based not only on the anonymity set size, which is always known in advance, but also on a set of other criteria such as the number of users and the priori and posteriori knowledge about internal and external attackers of an e-service. The carried out experimentations show competitive and better results when compared to other recently proposed anonymity quantification.

scholarly journals Review of Applications of Fuzzy Logic in Multi-Agent-Based Control System of AC-DC Hybrid Microgrid

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 1284-1299 ◽  
Author(s):  
H. W. D. Hettiarachchi ◽  
K. T. M. Udayanga Hemapala ◽  
A. G. Buddhika P. Jayasekara
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Agent Based ◽  
Hybrid Microgrid ◽  
Multi Agent

FUZZY LOGIC BASED MODELING OF TRAFFIC FLOWS INDUCED BY REGIONAL SHOPPING MALLS

2014 ◽  
Vol 17 (03n04) ◽  
pp. 1450017 ◽  
Author(s):  
ALBERTO VANCHERI ◽  
PAOLO GIORDANO ◽  
DENISE ANDREY
Keyword(s):  
Fuzzy Logic ◽  
Interaction Space ◽  
Environmental Indicators ◽  
Traffic Flows ◽  
Multi Agent Systems ◽  
Shopping Malls ◽  
Modeling Framework ◽  
Agent Based ◽  
Multi Agent ◽  
New Type

In this paper, we present an agent-based model aiming at supporting decisions about the planning of shopping malls (SM), with a main focus about their environmental impact. The model forecasts the traffic flows induced by SM at the regional level on the whole road network of Canton Ticino (Switzerland), and has been used by the public administration as a support to decide master plan rules. The system has been modeled as an interaction space, a new type of modeling framework that includes both multi-agent systems and cellular automata as a particular case. We define a grammar to specify different agents' trips, and we associate a fuzzy logic based indicator to each one of these specifications. Similarly, we define attractiveness indicators for zones containing economical activities related to agents' trips. The use of these indicators permits to obtain agents' location choices of secondary activities with a great computational efficiency. Simulations include several environmental indicators, like concentrations of nitrogen dioxide, counting changes in a given small part of a road or an estimation of roads' level of service.

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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