A Deadlock Detection Technique Using Multi Agent Environment

2017 ◽  
pp. 335-344
Author(s):  
Rashmi Priya ◽  
R. Belwal
Keyword(s):  
Detection Technique ◽  
Deadlock Detection ◽  
Multi Agent

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.

SEARCH-BASED TESTING OF MULTI-AGENT MANUFACTURING SYSTEMS FOR DEADLOCKS BASED ON MODELS

2010 ◽  
Vol 19 (04) ◽  
pp. 417-437 ◽  
Author(s):  
NARIMAN MANI ◽  
VAHID GAROUSI ◽  
BEHROUZ H. FAR
Keyword(s):  
Manufacturing Systems ◽  
Autonomous Agents ◽  
Manufacturing System ◽  
Deadlock Detection ◽  
Multi Agent Systems ◽  
Automated Manufacturing Systems ◽  
Testing Technique ◽  
Design Models ◽  
Multi Agent ◽  
Test Requirements

Multi-Agent Systems (MAS) have been extensively used in the automation of manufacturing systems. However, similar to other distributed systems, autonomous agents' interaction in the Automated Manufacturing Systems (AMS) can potentially lead to runtime behavioral failures including deadlocks. Deadlocks can cause major financial consequences by negatively affecting the production cost and time. Although the deadlock monitoring techniques can prevent the harmful effects of deadlocks at runtime, but the testing techniques are able to detect design faults during the system design and development stages that can potentially lead to deadlock at runtime. In this paper, we propose a search based testing technique for deadlock detection in multi-agent manufacturing system based on the MAS design models. MAS design artifacts, constructed using Multi-agent Software Engineering (MaSE) methodology, are used for extracting test requirements for deadlock detection. As the case study, the proposed technique is applied to a multi-agent manufacturing system for verifying its effectiveness. A MAS simulator has been developed to simulate multi-agent manufacturing system behavior under test and the proposed testing technique has been implemented in a test requirement generator tool which creates test requirements based on the given design models.

Unstructured deadlock detection technique with scalability and complexity-efficiency in clouds

2013 ◽  
Vol 27 (6) ◽  
pp. 852-870 ◽  
Author(s):  
JongBeom Lim ◽  
Taeweon Suh ◽  
Heonchang Yu
Keyword(s):  
Detection Technique ◽  
Deadlock Detection

Norms-Adaptable Agents for Open Multi-Agent Systems

2018 ◽  
pp. 78-104
Author(s):  
Moamin A Mahmoud ◽  
Mohd Sharifuddin Ahmad
Keyword(s):  
Detection Technique ◽  
Third Party ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Self Enforcement ◽  
Detection Mechanisms

Norms and normative multi-agent systems have become the subjects of interest for many researchers. Such interest is caused by the need for agents to exploit the norms in enhancing their performance in a community. In open agent systems, an agent is not usually and explicitly given the norms of the host agents. Thus, when it is not able to adapt the communities' norms, it is totally deprived of accessing resources and services from the host. Such circumstance severely affects its performance resulting in failure to achieve its goal. While several studies have addressed this issue, their detection mechanisms are restricted to the use of sanctions by third party enforcement. Consequently, this study attempts to overcome this deficiency by proposing a technique that enables an agent to detect the host's potential norms via self-enforcement and update its norms even in the absence of sanctions from a third-party. The technique is called the Potential Norms Detection Technique (PNDT).

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