• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.69-78
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• 2023

With the global rise of digital data, the uncontrolled quantity of data is susceptible to cyber warfare or cyber attacks. Therefore, it is necessary to improve cyber security systems. This research studies the behavior of malicious acts and uses Higuchi Fractal Dimension (HFD), which is a non-linear mathematical method to examine the intricacy of the behavior of these malicious acts and anomalies within the cyber physical system. The HFD algorithm was tested successfully using synthetic time series network data and validated on real-time network data, producing accurate results. It was found that the highest fractal dimension value was computed from the DoS attack time series data. Furthermore, the difference in the HFD values between the DoS attack data and the normal traffic data was the highest. The malicious network data and the non-malicious network data were successfully classified using the Receiver Operating Characteristics (ROC) method in conjunction with a scaling stationary index that helps to boost the ROC technique in classifying normal and malicious traffic. Hence, the suggested methodology may be utilized to rapidly detect the existence of abnormalities in traffic with the aim of further using other methods of cyber-attack detection.

• International Journal of Computer Science & Network Security
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• 제23권2호
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• pp.173-182
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• 2023

The UAE government has set its sights on creating a smart, electronic-based government system that utilizes AI. The country's collaboration with India aims to bring substantial returns through AI innovation, with a target of over $20 billion in the coming years. To achieve this goal, the UAE launched its AI strategy in 2017, focused on improving performance in key sectors and becoming a leader in AI investment. To ensure public safety as the role of AI in government grows, the country is working on developing integrated cyber security solutions for SCADA systems. A questionnaire-based study was conducted, using the AI IQ Threat Scale to measure the variables in the research model. The sample consisted of 200 individuals from the UAE government, private sector, and academia, and data was collected through online surveys and analyzed using descriptive statistics and structural equation modeling. The results indicate that the AI IQ Threat Scale was effective in measuring the four main attacks and defense applications of AI. Additionally, the study reveals that AI governance and cyber defense have a positive impact on the resilience of AI systems. This study makes a valuable contribution to the UAE government's efforts to remain at the forefront of AI and technology exploitation. The results emphasize the need for appropriate evaluation models to ensure a resilient economy and improved public safety in the face of automation. The findings can inform future AI governance and cyber defense strategies for the UAE and other countries.

• 융합보안논문지
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• 제17권3호
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• pp.73-81
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• 2017

2009년 4월 미국 오바마 대통령의 프라하 연설을 계기로 국제사회는 핵안보 증진과 핵테러리즘 저지를 위해 2010년부터 2016년까지 4차례의 핵안보정상회의를 개최하였다. 핵안보정상회의는 테러리스트들이 핵무기 또는 핵 분열성 물질의 획득 노력을 저지하기 위한 중대한 진전을 이루었으나 여전히 한계와 문제점을 남겼다. 이를 해결하기 위한 향후 국제 사회의 과제는 첫째, 양자간 협력과 다자간 핵안보 레짐 강화를 위한 공동의 노력을 재개하고, 참가국은 자국의 핵물질 방호와 핵시설 보안을 위한 공약 이행을 위해 노력해야한다. 둘째, 4차 핵안보정상회의에서 채택된 5개 행동계획에 따라 유엔, 국제원자력기구, 국제형사경찰기구(인터폴), 세계핵테러방지구상, 글로벌파트너십은 지속적인 핵안보 증진을 위해 임무를 수행해야한다. 셋째, 참가국들은 핵안보정상회의에서 다루지 못했던 군수용 핵물질의 관리와 방호에 대한 논의를 시작해야한다. 넷째, 핵안보의 국제법적 기반인 개정 핵물질방호협약과 핵테러억제협약의 이행을 강화하고, 핵시설에 대한 사이버 공격 대비 및 핵물질의 도난 불법거래 사보타주 저지를 위해 노력해야한다.