A Multi-agent based framework for Dynamic Service Discovery and access using matchmaking approach

2009 ◽  
Author(s):  
T. Amudha ◽  
N. Saritha ◽  
P. Usha
Keyword(s):  
Service Discovery ◽  
Agent Based ◽  
Multi Agent

scholarly journals A Goal Driven Framework for Service Discovery in Service-Oriented Architecture: A Multiagent Based Approach

2010 ◽  
pp. 287-292
Author(s):  
Ujjal Marjit ◽  
Arup Sarkar ◽  
Subhrangsu Santra ◽  
Utpal Biswas
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Resource Sharing ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Semantic Web Service ◽  
Agent Based ◽  
Service Oriented ◽  
Multi Agent ◽  
Client Program

Automated service discovery is one of the very important features in any Semantic Web Service (SWS) based framework. Achieving this functionality in e-resource sharing system is not an easy task due to its hugeness and heterogeneity among the available resources. Any efficient automated service discovery will remain worthless until discovered services fulfill the required goal(s) demanded by the user or the client program. In this paper we have proposed a goal driven approach towards an automated service discovery using Agent Swarm in an innovative way .A novel multi agent based architecture has been introduced here for service discovery. Communications among the agent in service-oriented framework for the said purpose has also been illustrated here. Finally, the pictorial view of the running agent in the system is shown.

HBSD

2019 ◽  
Vol 14 (3) ◽  
pp. 37-63 ◽  
Author(s):  
Gitosree Khan ◽  
Anirban Sarkar ◽  
Sabnam Sengupta
Keyword(s):  
Service Discovery ◽  
Cloud Services ◽  
Massive Datasets ◽  
Apache Hadoop ◽  
Agent Based ◽  
Heterogeneous Services ◽  
User Request ◽  
Multi Agent ◽  
Cloud Environments ◽  
Heterogeneous Cloud

Enterprise cloud bus (ECBS) is a multi-agent-based abstraction layer framework, responsible for publishing and discovery of services in an Inter-cloud environment. Our work focuses on the service discovery model (HBSD) using Hadoop that leads to the challenges of automatic web service discovery patterns. It has been observed that the RDBMS can handle only data sizes up to a few Terabytes but fails to scale beyond that, so Apache Hadoop can be used for parallel processing of massive datasets. This article provides a novel Hadoop based Service Discovery (HBSD) approach that can handle vast amount of datasets generated from heterogeneous cloud services. The novelty of the proposed architecture coordinates cloud participants, automate service registration pattern, reconfigure discover services and focus on aggregating heterogeneous services from Inter-cloud environments. Moreover, this particle states a novel and efficient algorithm (HBSDMCA) for finding the appropriate service as per user's requirements that can provide higher QoS to the user request for web services.

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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