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A programmable threat intelligence framework for containerized clouds
(Academic Conferences and Publishing International Limited, 2018) Cagatay Yucel; Ahmet Hasan Koltuksuz; Murat Odemis; Anas Maazu Kademi; İzzet Gökhan Özbilgin; J.S. Hurley , J.Q. Chen
Contemporarily one of the main challenges for information security community is the growing number of cyber threats. Large scaled globally orchestrated and constantly evolving attacks are affecting our information systems and technologies every day. Therefore collection and the exchange of cyber threat intelligence is of supreme importance. The term Cyber Threat Intelligence (CTI) has emerged with the contemporary because of merging the cyber intelligence concepts with the risk and threat management in cyber space. Today a number of security companies provide cyber threat intelligence with their sensors deployed worldwide Security Information and Event Management (SIEM) software and Intrusion Detection and Prevention Systems (IDPS) working collaboratively. The collection of Cyber Threat Intelligence is the process of collecting and producing actionable information of threats and threat actors aimed at increasing awareness and operational capabilities upon recognition of attack and attempt scenarios in a timely fashion. This research aims to investigate the recent developments of SDN and Containerized Clouds with a security perspective. The implementation of a containerized cloud with a programmable network of honeypot is implemented in this research. The implementation is tested with a scenario where a propagation of a worm that is originated from an infected container image. The security mechanisms on the cloud are fed with the collected CTI and results of the experiments along with discussions are presented. © 2018 Elsevier B.V. All rights reserved.
Citation - Scopus: 5
Experience Sampling Methodology: A Systematic Review and Discussion for Organizational Research
(Academic Conferences and Publishing International Limited, 2020) Ozge Can; Can, Ozge
In organizational research growing attention has been given to the dynamic nature of workplace relationships and how such dynamic processes shape key behavioural outcomes. Experience sampling methodology (ESM) brings more opportunity than any other research option to examine such fluctuations and relevant causal relationships. ESM can be described as a quantitative method which allows individuals to assess discrete evaluative states on multiple events by combining three distinct elements, person variables and occasion. Despite its increasing prevalence and popularity however there has been only a few attempts to investigate the most appropriate design measurement and analysis choices for experience sampling data. Even though ESM has been utilized in organizational research for some time systematic investigations regarding how these issues have been addressed and how the method has been applied to specific organizational topics are limited. This study provides a systematic and critical assessment of the use of ESM in current organizational research (2010-2020) by reviewing a random sample of 50 ESM studies indexed in ISI Web of Science with the aim of identifying the current state of practice. The selected studies were analysed based on several methodological aspects including the type of ESM protocol applied sample characteristics data sources specified interval and total duration of data collection structure and properties of designated measures analytic strategy and the research model to be tested. Findings show that organization studies vary considerably based on how they design and implement ESM. Moreover despite the availability of good practices many studies fail to attain recommended standards about sample size data collection procedures data characteristics and measurement quality. As such this paper offers several insights regarding how timebased within-person frameworks can be improved in future studies to account for dynamic organizational phenomena. © 2021 Elsevier B.V. All rights reserved.
Citation - Scopus: 1
Strengthening strategic approach to counter cyberspace threats in Nigeria
(Academic Conferences and Publishing International Limited, 2018) Anas Maazu Kademi; Kademi, Anas Mu'azu; J.S. Hurley , J.Q. Chen
Most cyber threats and attacks on a system an organisation or a nation have significant consequences especially on missions and can affect even an unintended target. Nigeria is vulnerable to such threats the most pressing of which is cybercrime that sabotage economic prosperity and damage reputation. This cybercrime is a result of (mostly internal) cybercriminal threats exploiting weaknesses in high population lacking security consciousness inadequate low-level security controls poor governmental sustainable commitment poverty and lack of capacity. Nigerian National Cyber Security Strategy (NNCSS) needs to be optimized to consider Nigerian peculiarity and concepts critical to strategy development. For instance Nigerian electronic fraud forum (NEFF) is the only partnership scheme cutting across different sectors and is tailored towards monetary transaction. We therefore identified critical control issues in NNCSS give suggestions to strengthen NNCSS–an algorithmic step for risk based strategy development and an adjustment to the institutional setting. Considered all together a framework of a model to enhance the strategy is given. Nigeria is a strategic country––known for some cyber threats and an enhancement of its existing cyber security strategic approaches will not only ensure adequate security to the country but also others. For example cooperation a significant element of strategy fostered at various levels (international through local) strengthens the course of nations efforts to cyber security. © 2018 Elsevier B.V. All rights reserved.
Studying dynamic processes by experience sampling methodology: Challenges and opportunities for organization research
(Academic Conferences and Publishing International Limited, 2020) Ozge Can; Can, Özge; M. Au-Yong-Oliveira , C. Costa
There has been growing attention in organizational behaviour research to the dynamism in workplace relationships and to how such dynamic processes any series of action or mood or attitude changes of employees shape key behavioural outcomes. Experience sampling methodology (ESM) brings more opportunity than any other research option to examine such fluctuations and relevant causal relationships. ESM can be described as a quantitative method which allows to assess individuals' discrete evaluative states on multiple events by combining three distinct elements, person variables and occasion. Despite its increasing prevalence and popularity however there has been only a few attempts to discuss and analyse data collection schedules and procedures sample characteristics measurement properties and types of analysis most appropriate for experience sampling data. Even though ESM has been utilized in organization research for some time systematic investigations regarding how all these issues have been addressed and how it has been applied to specific organizational topics are very limited. Accordingly this study provides a systematic and critical assessment of the use of ESM in current organization research (2015-2019) by using a random sample of 40 ESM studies. By doing so it identifies the unique opportunities and challenges regarding each aforementioned methodological aspects. © 2020 Elsevier B.V. All rights reserved.

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