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Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
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Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
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Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
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Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
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URL |
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Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
|
Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
|
Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
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Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
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URL |
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Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
|
Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
|
Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
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Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
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URL |
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Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
|
Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
|
Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
|
Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
|
URL |
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Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
|
Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
|
Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
|
Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
|
URL |
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Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
|
Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
|
Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
|
Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
|
URL |
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Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
|
Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
|
Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
|
Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
|
URL |
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Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
|
Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
|
Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
|
Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
|
URL |
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|
Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
|
Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
|
Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
|
Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
|
URL |
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|
Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
|
Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
|
Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
|
Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
|
URL |
|
|
Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
|
Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
|
Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
|
Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
|
URL |
|
|
Title |
Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey |
|
Author |
Bayan O Al-Amri, Hatim Alsuwat, and Emad Alsuwat |
| Citation |
Vol. 21 No. 7 pp. 245-251 |
|
Abstract |
This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security. |
|
Keywords |
Cybersecurity; ISA; Software Security; Artificial intelligence; Human Factor. |
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URL |
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Title |
Critical Appraisal Study of Knowledge Management and its Importance Among Public Sector |
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Author |
Magdah Gharieb |
| Citation |
Vol. 21 No. 7 pp. 273-283 |
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Abstract |
The aim of this paper is to review the current knowledge management (KM) practices and their importance in the public sector of Saudi Arabia. Using the term “knowledge management in public sector”, a search for available works was done in Google Scholar. In the first stage, the search for literature published under anytime choice was done in the first 10 pages of the search engine. Then another nine pages of Goggle Scholar were searched for more recent works published setting the time as 2014 to 2018. The search yielded 37 usable works for this review. The results of this literature search and review indicated that out of the 37 works reviewed, only three works were related to Saudi Arabia. Number of papers on factors of KM were maximum, many of them giving diagrammatic presentation of their results. KM modelling itself is not easy as only very few papers on KM modelling were available. Problems of too much reliance on qualitative data and hypotheses not matching with the literature backgrounds for them were also found. Considering the works related to KM, the number of papers in various categories may indicate the dimensions of KM to be considered when KM is implemented or evaluated in any public sector of any country. This applies to Saudi Arabian public sector organizations also. There is a fertile ground of research waiting to be investigated by researchers in Saudi Arabia. |
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Keywords |
Knowledge Management, Saudi Arabia, Public Sector |
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URL |
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Title |
Critical Appraisal Study of Knowledge Management and its Importance Among Public Sector |
|
Author |
Magdah Gharieb |
| Citation |
Vol. 21 No. 7 pp. 273-283 |
|
Abstract |
The aim of this paper is to review the current knowledge management (KM) practices and their importance in the public sector of Saudi Arabia. Using the term “knowledge management in public sector”, a search for available works was done in Google Scholar. In the first stage, the search for literature published under anytime choice was done in the first 10 pages of the search engine. Then another nine pages of Goggle Scholar were searched for more recent works published setting the time as 2014 to 2018. The search yielded 37 usable works for this review. The results of this literature search and review indicated that out of the 37 works reviewed, only three works were related to Saudi Arabia. Number of papers on factors of KM were maximum, many of them giving diagrammatic presentation of their results. KM modelling itself is not easy as only very few papers on KM modelling were available. Problems of too much reliance on qualitative data and hypotheses not matching with the literature backgrounds for them were also found. Considering the works related to KM, the number of papers in various categories may indicate the dimensions of KM to be considered when KM is implemented or evaluated in any public sector of any country. This applies to Saudi Arabian public sector organizations also. There is a fertile ground of research waiting to be investigated by researchers in Saudi Arabia. |
|
Keywords |
Knowledge Management, Saudi Arabia, Public Sector |
|
URL |
|
|
Title |
Critical Appraisal Study of Knowledge Management and its Importance Among Public Sector |
|
Author |
Magdah Gharieb |
| Citation |
Vol. 21 No. 7 pp. 273-283 |
|
Abstract |
The aim of this paper is to review the current knowledge management (KM) practices and their importance in the public sector of Saudi Arabia. Using the term “knowledge management in public sector”, a search for available works was done in Google Scholar. In the first stage, the search for literature published under anytime choice was done in the first 10 pages of the search engine. Then another nine pages of Goggle Scholar were searched for more recent works published setting the time as 2014 to 2018. The search yielded 37 usable works for this review. The results of this literature search and review indicated that out of the 37 works reviewed, only three works were related to Saudi Arabia. Number of papers on factors of KM were maximum, many of them giving diagrammatic presentation of their results. KM modelling itself is not easy as only very few papers on KM modelling were available. Problems of too much reliance on qualitative data and hypotheses not matching with the literature backgrounds for them were also found. Considering the works related to KM, the number of papers in various categories may indicate the dimensions of KM to be considered when KM is implemented or evaluated in any public sector of any country. This applies to Saudi Arabian public sector organizations also. There is a fertile ground of research waiting to be investigated by researchers in Saudi Arabia. |
|
Keywords |
Knowledge Management, Saudi Arabia, Public Sector |
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URL |
