scholarly journals SAWIT—Security Awareness Improvement Tool in the Workplace

2020 ◽  
Vol 10 (9) ◽  
pp. 3065
Author(s):  
Ana Kovačević ◽  
Sonja D. Radenković
Keyword(s):  
Artificial Intelligence ◽  
Collaborative Learning ◽  
Best Practices ◽  
Cyber Security ◽  
Training Programs ◽  
Transformation Model ◽  
Security Awareness ◽  
Web Tool ◽  
Knowledge Transformation ◽  
Previous Training

Cyberattacks are becoming increasingly sophisticated and severe, and an organization’s protection depends on its weakest member. Although users are aware of the risks in cyberspace, most of them do not follow best practices, and there is a need for permanent structured training. The majority of previous training programs concentrated on technically educated users, but the organization is only as secure as the most vulnerable link in it. The paper presents SAWIT, a new Web tool, created with the goal of improving security awareness among employees. It is an innovative artificial intelligence framework aimed at improving the cyber security knowledge of employees by using collaborative learning and assessment within the specified knowledge transformation model.

Cyber Security Competency Model Based on Learning Theories and Learning Continuum Hierarchy

2022 ◽  
pp. 139-156
Author(s):  
Winfred Yaokumah
Keyword(s):  
Cyber Security ◽  
Domain Knowledge ◽  
Training Programs ◽  
Cyber Attacks ◽  
Competency Model ◽  
Learning Theories ◽  
Security Awareness ◽  
Non Governmental Organizations ◽  
Security Competency ◽  
And Training

There is an urgent need for transformative changes in cyber security awareness and training programs to produce individuals and the workforce that can deal with business risks emanating from the prevailing and emerging cyber-attacks. This chapter proposes a cyber security competency model that integrates learning theories (cognitive, affective, and psychomotor), learning continuum hierarchy (awareness and training), and cyber security domain knowledge. Employing literature search of scholarly and practitioner works, together with cyber security standards from governmental and non-governmental organizations, the chapter integrates cyber security domain knowledge, learning theories, and learning continuum hierarchy to design a model of cyber security competencies suitable for use in educating individuals and the general workforce. This theoretical-based approach to designing cyber security awareness and training programs will produce skillful individuals and workforce that can mitigate cyber-attacks in the global business environment.

Cyber Security Competency Model Based on Learning Theories and Learning Continuum Hierarchy

2019 ◽  
pp. 94-110
Author(s):  
Winfred Yaokumah
Keyword(s):  
Cyber Security ◽  
Domain Knowledge ◽  
Training Programs ◽  
Cyber Attacks ◽  
Competency Model ◽  
Learning Theories ◽  
Security Awareness ◽  
Non Governmental Organizations ◽  
Security Competency ◽  
And Training

There is an urgent need for transformative changes in cyber security awareness and training programs to produce individuals and the workforce that can deal with business risks emanating from the prevailing and emerging cyber-attacks. This chapter proposes a cyber security competency model that integrates learning theories (cognitive, affective, and psychomotor), learning continuum hierarchy (awareness and training), and cyber security domain knowledge. Employing literature search of scholarly and practitioner works, together with cyber security standards from governmental and non-governmental organizations, the chapter integrates cyber security domain knowledge, learning theories, and learning continuum hierarchy to design a model of cyber security competencies suitable for use in educating individuals and the general workforce. This theoretical-based approach to designing cyber security awareness and training programs will produce skillful individuals and workforce that can mitigate cyber-attacks in the global business environment.

Fortifying Corporate Human Wall

2017 ◽  
pp. 142-175 ◽  
Author(s):  
Anandharaman Pattabiraman ◽  
Sridhar Srinivasan ◽  
Kaushik Swaminathan ◽  
Manish Gupta
Keyword(s):  
Cyber Security ◽  
Training Programs ◽  
Security Threats ◽  
Security Awareness ◽  
External Threats ◽  
Body Of Knowledge ◽  
Awareness Programs ◽  
Tremendous Amount ◽  
Conceptual Research ◽  
And Training

It has been very evident from data breaches from last few years that attackers are increasingly targeting the path of least resistance to compromise the security of organizations. Cyber security threats that exploit human behavior are becoming sophisticated and difficult to prevent against. At the same time humans are the countermeasures that can adapt swiftly to changing risk landscape than technological and procedural countermeasures. Organizations are implementing and enhancing their security awareness and training programs in an attempt to ensure that risks from human elements, which pose the greatest risks, are mitigated. The chapter conducts a thorough literature review in the area of security awareness and training and presents a classification scheme and a conceptual research model to provide insights into the existing body of knowledge in the area. Trends and analyses are also presented from the reviewed papers, which can be of importance to organizations in improving their security awareness programs. The insights from the study can be leveraged to build a strong human wall against both internal and external threats that are fast evolving and causing tremendous amount of loss.

A Study of Cyber Security Awareness in Educational Environment in the Middle East

2016 ◽  
Vol 15 (01) ◽  
pp. 1650007 ◽  
Author(s):  
Samaher Al-Janabi ◽  
Ibrahim Al-Shourbaji
Keyword(s):  
Middle East ◽  
Information Security ◽  
Undergraduate Students ◽  
Cyber Security ◽  
Training Programs ◽  
Academic Staff ◽  
Cyber Attacks ◽  
Security Awareness ◽  
Negative Consequences ◽  
Information Security Awareness

Information security awareness can play an important role in facing cyber-attacks by intruders. The main goal of this paper is to analyse the information security awareness among academic staff, researchers, undergraduate students and employee within educational environments in the Middle East in an attempt to understand the level of awareness of information security, the associated risks and overall impact on the institutions. The results reveal that the participants do not have the requisite knowledge and understanding of the importance of information security principles and their practical application in their day-to-day work. This situation can however be corrected through comprehensive awareness and training programs as well as adopting all the necessary safety measures at all levels of the institution to ensure that the students, academic staff and employees are trustworthy, technology savvy and keep their data safe. Without such training programs and awareness, there will be negative consequences on IT systems and their application usage, as well as on users’ personal security now and in the future. From the weaknesses identified in this survey, some essential recommendations are put forward to remedy the situation.

Cyber Security Competency Model Based on Learning Theories and Learning Continuum Hierarchy

2022 ◽  
pp. 262-279
Author(s):  
Winfred Yaokumah
Keyword(s):  
Cyber Security ◽  
Domain Knowledge ◽  
Training Programs ◽  
Cyber Attacks ◽  
Competency Model ◽  
Learning Theories ◽  
Security Awareness ◽  
Non Governmental Organizations ◽  
Security Competency ◽  
And Training

There is an urgent need for transformative changes in cyber security awareness and training programs to produce individuals and the workforce that can deal with business risks emanating from the prevailing and emerging cyber-attacks. This chapter proposes a cyber security competency model that integrates learning theories (cognitive, affective, and psychomotor), learning continuum hierarchy (awareness and training), and cyber security domain knowledge. Employing literature search of scholarly and practitioner works, together with cyber security standards from governmental and non-governmental organizations, the chapter integrates cyber security domain knowledge, learning theories, and learning continuum hierarchy to design a model of cyber security competencies suitable for use in educating individuals and the general workforce. This theoretical-based approach to designing cyber security awareness and training programs will produce skillful individuals and workforce that can mitigate cyber-attacks in the global business environment.

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence

AI Magazine ◽  
2019 ◽  
Vol 40 (3) ◽  
pp. 67-78
Author(s):  
Guy Barash ◽  
Mauricio Castillo-Effen ◽  
Niyati Chhaya ◽  
Peter Clark ◽  
Huáscar Espinoza ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Cyber Security ◽  
Question Answering ◽  
Intent Recognition ◽  
Affective Content ◽  
Learning Plan ◽  
Dialog System ◽  
Affective Content Analysis ◽  
Games And Simulations

The workshop program of the Association for the Advancement of Artificial Intelligence’s 33rd Conference on Artificial Intelligence (AAAI-19) was held in Honolulu, Hawaii, on Sunday and Monday, January 27–28, 2019. There were fifteen workshops in the program: Affective Content Analysis: Modeling Affect-in-Action, Agile Robotics for Industrial Automation Competition, Artificial Intelligence for Cyber Security, Artificial Intelligence Safety, Dialog System Technology Challenge, Engineering Dependable and Secure Machine Learning Systems, Games and Simulations for Artificial Intelligence, Health Intelligence, Knowledge Extraction from Games, Network Interpretability for Deep Learning, Plan, Activity, and Intent Recognition, Reasoning and Learning for Human-Machine Dialogues, Reasoning for Complex Question Answering, Recommender Systems Meet Natural Language Processing, Reinforcement Learning in Games, and Reproducible AI. This report contains brief summaries of the all the workshops that were held.

A Survey on Artificial Intelligence Techniques to Prevent Cyber Crime

2018 ◽  
Vol 8 (5) ◽  
pp. 80
Author(s):  
Juveriya Afreen
Keyword(s):  
Artificial Intelligence ◽  
Cyber Security ◽  
Data Security ◽  
Human Reasoning ◽  
Cyber Crime ◽  
Artificial Intelligence Techniques

Abstract-- With increase in complexity of data, security, it is difficult for the individuals to prevent the offence. Thus, by using any automation or software it’s not possible by only using huge fixed algorithms to overcome this. Thus, we need to look for something which is robust and feasible enough. Hence AI plays an epitome role to defense such violations. In this paper we basically look how human reasoning along with AI can be applied to uplift cyber security.

scholarly journals Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk analytics in extreme environments – cyber risk in the colonisation of Mars

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Kevin Page ◽  
Max Van Kleek ◽  
Omar Santos ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Real Time ◽  
Cyber Security ◽  
Extreme Environments ◽  
Learning Technologies ◽  
Cyber Attacks ◽  
Edge Computing ◽  
Mathematical Formulas ◽  
Cyber Risk

AbstractMultiple governmental agencies and private organisations have made commitments for the colonisation of Mars. Such colonisation requires complex systems and infrastructure that could be very costly to repair or replace in cases of cyber-attacks. This paper surveys deep learning algorithms, IoT cyber security and risk models, and established mathematical formulas to identify the best approach for developing a dynamic and self-adapting system for predictive cyber risk analytics supported with Artificial Intelligence and Machine Learning and real-time intelligence in edge computing. The paper presents a new mathematical approach for integrating concepts for cognition engine design, edge computing and Artificial Intelligence and Machine Learning to automate anomaly detection. This engine instigates a step change by applying Artificial Intelligence and Machine Learning embedded at the edge of IoT networks, to deliver safe and functional real-time intelligence for predictive cyber risk analytics. This will enhance capacities for risk analytics and assists in the creation of a comprehensive and systematic understanding of the opportunities and threats that arise when edge computing nodes are deployed, and when Artificial Intelligence and Machine Learning technologies are migrated to the periphery of the internet and into local IoT networks.

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