Distributed decision making in organizations

Bond, Alan H.

doi:10.1109/icsmc.1990.142254

Cited by 5 publications

(1 citation statement)

References 15 publications

(2 reference statements)

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“…Indeed, cooperation is necessary for the distributed resolution of a problem. This is characterized by the activity of a group of agents converging towards a global goal by achieving their own local goals [32]. There are several models of agents' cooperation, i.e., cooperation by sharing tasks, intermediate results, etc.…”

Section: B Interactions Between Agentsmentioning

confidence: 99%

MACoMal: A Multi-Agent Based Collaborative Mechanism for Anti-Malware Assistance

Belaoued¹,

Derhab

Mazouzi

et al. 2020

IEEE Access

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Anti-malware tools remain the primary line of defense against malicious software. There is a wide variety of commercial anti-malware tools in the IT security market. However, no single tool is able to provide a full protection against the overwhelming number of daily released malware. Hence, collaboration among malware detection tools is of paramount importance. In this paper, we propose MACoMal, a multiagent based decision mechanism, which assists heterogeneous anti-malware tools to collaborate with each other in order to reach a consensual decision about the maliciousness of a suspicious file. MACoMal consists of two main elements: (1) an executable file identification model, and (2) a collaborative decision-making scheme. MACoMal is analyzed with respect to network connectivity and global decision correctness. By leveraging a multi-agent simulation tool and a set of real malware samples, we present a simulation methodology to assess its effectiveness and efficiency. Experimental results show that MACoMal is able to immunize a network against a malware threat within a time that ranges from a few seconds to a few minutes after the threat detection.

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Section: B Interactions Between Agentsmentioning

confidence: 99%