Titlebook: National Cyber Summit (NCS) Research Track; Kim-Kwang Raymond Choo,Thomas H. Morris,Gilbert L. Conference proceedings 2020 Springer Nature

SPASM

Capacity Building for a Cybersecurity Workforce Through Hands-on Labs for Internet-of-Things Securit approaches to capacity building are required. We advocate an approach that taps into public awareness and usage of internet-of-things (IoT) devices, which constitute a major source of security vulnerabilities. There is increasing student curiosity about these devices, and a growing tinkering moveme

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天真

A Survey of Cyber Security Practices in Small Businessesreasingly targeted for cyber-attack. These firms are particularly vulnerable to cyber-attack due to the often-valuable information they handle coupled with overworked and undertrained IT support. The University of Alabama in Huntsville is conducting an on-going survey of the cyber security practices

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袋鼠

recession

Goblet-Cells

A Comparison Study of Cybersecurity Workforce Frameworks and Future Directionsnment organizations. The government has recognized and created several frameworks that outline the work role standards for the multiple sectors. A comparison of these frameworks would not only provide a perspective of the purpose for maintaining different frameworks, but also provide a model of thei

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Unmanned Aerial Vehicles (UAVs) Threat Analysis and a Routine Activity Theory Based Mitigation Approe, however, opportunities for UAVs to be abused in criminal or nefarious activities. The aim of this paper is to outline the opportunities for UAVs to be used in criminal activities, and explore the potential countermeasures and their effectiveness. This paper will seek to apply Routine Activity The

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Munificent

An Efficient Profiling-Based Side-Channel Attack on Graphics Processing Unitsde of moving the cryptographic algorithms onto GPUs, however, is that the vulnerability of side-channel attacks for GPUs has not been well studied and the confidential information may be under a great risk by processing encryption on GPUs. In this paper, we proposed to leverage a profiling-based sid