Titlebook: Information Science and Applications; ICISA 2019 Kuinam J. Kim,Hye-Young Kim Conference proceedings 2020 Springer Nature Singapore Pte Ltd.

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A Markov Chain Based Framework for Analysis of Hierarchical Fog Computing Networksachines before reaching the core cloud network. The crucial concepts of driving this technology are to offload computationally intensive tasks from users to edge or fog devices. The mobile edge network consists of an access point (AP), Radio Access Network (RAN), devices, edge servers, fog servers a

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Mitigating Threats in a Corporate Network with a Taintcheck-Enabled Honeypotlware integrated with firewalls generate a lot of false positives that make computer network system administration cumbersome. This paper proposes a novel mechanism comprising of taintcheck for dynamic analysis of buffer overflow attack using synthetic exploit and hybrid honeypot for scanning, detec

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A Study on the Covariance Matrix Correction of Correlation Signal for Correct Direction Estimation int technology to estimate the desired signal due to interference in the multipath. In order to remove the interference signal, a desired signal can be estimated by using the weight of the covariance matrix. Adaptive array antennas are applied to the receiving system to update the weights of the arri

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Understanding the Behavioral Intention to Use SaaS ERP Sub-modules Considering Perceived Enjoyment, e current global world. This research will be focusing on the behavioral intention among the employees to use Software as a Service (SaaS) ERP sub-modules in a global construction tool provider considering perceived enjoyment, anxiety and system performance. The objective of this research is to anal

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A Flow-Based Parallel Packet Processing Approach for Core Affinity and Core Scalabilitythe packet processing performance for the flow, and the core scalability is adjusting the number of cores of a network application, that is required to achieve parallel packet processing efficiency, scaling based on the incoming network traffic. In this paper, we propose an approach to support flow