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has been cited by the following article:

• TITLE: A Review on Distribution Model for Mobile Agent-Based Information Leakage Prevention

  AUTHORS: Alese Boniface Kayode, Alowolodu Olufunso Dayo, Adekunle Adewale Uthman

  KEYWORDS: Mobile Agent, Distribution Model, Data Leakage Detection, Data Leakage Prevention, DLP, Security, Distributed Computing

  JOURNAL NAME: Communications and Network, Vol.13 No.2, May 27, 2021

  ABSTRACT: With the continuous use of cloud and distributed computing, the threats associated with data and information technology (IT) in such an environment have also increased. Thus, data security and data leakage prevention have become important in a distributed environment. In this aspect, mobile agent-based systems are one of the latest mechanisms to identify and prevent the intrusion and leakage of the data across the network. Thus, to tackle one or more of the several challenges on Mobile Agent-Based Information Leakage Prevention, this paper aim at providing a comprehensive, detailed, and systematic study of the Distribution Model for Mobile Agent-Based Information Leakage Prevention. This paper involves the review of papers selected from the journals which are published in 2009 and 2019. The critical review is presented for the distributed mobile agent-based intrusion detection systems in terms of their design analysis, techniques, and shortcomings. Initially, eighty-five papers were identified, but a paper selection process reduced the number of papers to thirteen important reviews.