Cyber Security Maturity Model for Critical Infrastructures

Buzdugan, Aurelian; Căpățână, Gheorghe

doi:10.1007/978-981-16-8866-9_19

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…Также и сам автор настоящего исследования неоднократно обращался к вопросам построения современной цифровой экономики в аспекте решения стратегических задач развития государства в целом, и финансового сектора, в частности (Belousov & Levchuk, 2018). Имеет смысл отметить и зарубежные работы по заявленной проблематике (Sicari, Rizzardi & Grieco, 2015;Adelmeyer & Teuteberg, 2018;Buzdugan & Capatana, 2022;Dehling, Lins, & Sunyaev, 2019;Ghafir & Saleem et al, 2018;Leszczyna, 2019;Linkov & Kott, 2019).…”

Section: степень научной разработанностиunclassified

Legal support for the development of sustainable and secure information and telecommunications infrastructure

Белоусов

2023

Vestn. Ross. univ. družby nar., Ser. Ûrid. nauki

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The relevance of the work is due to the need to adapt regulatory mechanisms to the actively developing digitalization processes. On the other hand, in the context of growing cyber threats and increasing dependence of public relations on information and telecommunications technologies, the directions for the development of legislation that ensure stability and security of the relevant infrastructure are subject to a certain rethinking in the legal aspect. The subject of the study is the legal support for the development of a sustainable and secure information and telecommunications infrastructure. The purpose of the work is to identify key areas for improving legal regulation in the field of functioning and development of sustainable and secure information and telecommunications infrastructure. The study applies methods of analysis, synthesis and comparison, as well as literal and systematic interpretation of the norms of the current legislation in the field of functioning and developing sustainable and secure information and telecommunications infrastructure. Finally, conclusions are formulated regarding the need for the development of legal regulation in this area. The research outlines the specific directions for changing the legal field, which ensure the sustainable development of information and telecommunications infrastructure in the Russian Federation.

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Section: степень научной разработанностиunclassified

Legal support for the development of sustainable and secure information and telecommunications infrastructure

Белоусов

2023

Vestn. Ross. univ. družby nar., Ser. Ûrid. nauki

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“…Organized hacker organizations, individual hackers, and groups are all targeting these institutions with modern cyberattacks. The frequency, magnitude, and intensity of cyberattacks have boosted over the past decade persistently (Buzdugan and Capatana 2022;Cabaj et al 2018;Kure et al 2022). Whenever any nation's security is attacked, the government reacts by enacting legislation to safeguard their assets, shield their citizens, and avoid such assaults from happening in the future.…”

Section: Introductionmentioning

confidence: 99%

A Quantitative Study on the Factors Influencing Implementation of Cybersecurity Laws and Regulations in Pakistan

Bokhari

2023

Social Sciences

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The phenomenon of law implementation has received limited attention, despite the clear evidence that it is influenced by various factors prevalent in the country, and these factors can have an impact on and obstruct the effective implementation of legislation. The primary objective of this study was to analyze the critical factors that impact the implementation of cybersecurity laws in developing nations, such as Pakistan. The prevalence of corruption, a major hindrance to the implementation of cybersecurity laws and regulations, emerged as the most influential factor in Pakistan. Additionally, factors such as discrimination, illicit conduct, expertise, ambiguity, and public confidence significantly influenced the implementation of cybersecurity laws in Pakistan. A survey was conducted among managers from banking and IT firms to collect data samples on the factors that could potentially impact the implementation of the law. The findings from a sample of 172 respondents revealed that corruption, discrimination, illicit conduct, and ambiguity appeared to have a significant negative influence on cybersecurity law implementation, whereas expertise and public confidence emerged to have a significant positive influence on the implementation of cybersecurity laws in Pakistan. This study suggests that the government of Pakistan should consider various measures such as providing training, improving capacity building, fostering institutional cooperation, strengthening legislative conviction, and promoting global collaborations to enhance the implementation of cybersecurity.

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“…Critical infrastructures are essential for the economy, society and governments [1]- [5]. The communication sector is one of the critical infrastructures essential for the economic, social and financial stability of any country [6].…”

Section: Introductionmentioning

confidence: 99%

A comparative analysis of recurrent neural network and support vector machine for binary classification of spam short message service

David Odera,

Gloria Odiaga

2023

World J. Adv. Eng. Technol. Sci.

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Over the years, communication through Short Message Service (SMS) has been a primary tool for mobile subscribers. SMS has varied applications in health, industry, finances, education and social networking among others. The growth of mobile devices and SMS usage has consequently increased the attack surface for cyber-criminals culminating to the proliferation of malicious activities introduced using SMS spam, phishing, spyware, malware etc. Ham messages are normal messages people trade with one another and are usually not unwanted by the recipient, while spam messages are unsolicited junk and redundant messages that may be sent to a large number of people at once and are usually unwanted. Various spam detection models have been developed using various traditional machine and deep learning techniques. However, most studies where comparison between deep and traditional machine learning algorithms is done, have unfortunately omitted K-Nearest Neighbors and Support Vector Machine (SVM) which are empirically deemed as the most popular traditional machine learning algorithms. In this study, therefore, we develop a deep learning model based on Recurrent Neural Network (RNN) for Spam and Ham SMS classification and compare its performance against SVM model for the same University of California (UCl) SMS dataset. The results show that RNN has a slightly higher training and validation accuracy of 0.98 compared to SVM at 0.94, however, the false positive rate of SVM is marginally lower. Exploring application of deep learning with better optimization algorithms such as RNN improves accuracy, reduces computational complexities i.e. memory consumption and speed, and thus minimizing false positive rates. For future work, we suggest the use of varied performance metrics to validate the model in a distributed dataset environment.

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Cyber Security Maturity Model for Critical Infrastructures

Cited by 7 publications

References 24 publications

Legal support for the development of sustainable and secure information and telecommunications infrastructure

Legal support for the development of sustainable and secure information and telecommunications infrastructure

A Quantitative Study on the Factors Influencing Implementation of Cybersecurity Laws and Regulations in Pakistan

A comparative analysis of recurrent neural network and support vector machine for binary classification of spam short message service

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