Cyber Security Challenges and its Emerging Trends on Latest Technologies

Rajasekharaiah, K. M.; Dule, Chhaya S.; Sudarshan, E. C. G.

doi:10.1088/1757-899x/981/2/022062

Cited by 42 publications

(9 citation statements)

References 4 publications

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“…The advancements in technology that we are seeing are blisteringly fast as compared to the past, which increases the number of cyberattacks with new challenging threats. With every passing year, thousands of new threats are created which are getting more and more dynamic which results in hazardous and challenging threats to the organizations (Rajasekharaiah, 2020). Knowledge management systems, like any other systems, are permanently under the pressure of knowledge risks and their possible consequences.…”

Section: Cybersecurity Challengesmentioning

confidence: 99%

Cybersecurity challenges in the knowledge economy

Ursache

2022

Proceedings of the International Conference on Business Excellence

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The paper aims to study cybersecurity correlations with the knowledge economy, focusing on its challenges in this new age of economy. The relevance of the cybersecurity concept is sustained by the academic literature that shows its important role in the business environment, where disruptive changes will become the norm. In the digital age the disruptions are happening frequently which gives organizations less time to manage the change and the fact that they are almost constrained to develop new strategies to answer the challenges of the changing business environment. The knowledge economy has evolved and with that, new concepts began to appear out of necessity and the need to secure the dynamic environment of knowledge management systems. Considering the unprecedented access to information and advancements in conducting academic research, in the present landscape of the knowledge economy and cybersecurity domain, new methods are available to structure and examine a body of literature. The text mining and scientific mapping analysis conducted with VOSviewer software version 1.6.18 is allowing us to identify meaningful insights about the knowledge economy concept, such as the (1) existing research gaps, at least on cybersecurity challenges in the knowledge economy and the (2) the research interests seen for the time period between 2019 and 2021. To achieve this, a database derived from Web of Science’s core collection has been used, and the text mining based on term co-occurrence analysis contributed to a deeper understanding of current and future workspace dynamics.

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Section: Cybersecurity Challengesmentioning

confidence: 99%

Cybersecurity challenges in the knowledge economy

Ursache

2022

Proceedings of the International Conference on Business Excellence

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“…The most applied techniques are Machine Learning which is found in 19 papers [6], [8], [12], [19], [26], [27], [32], [34], [46], [47], [48], [49], [50], [56], [59], [60], [63], [64] and [68] with 26. 4% of the total, likewise Data Mining is found in 12 papers [6], [23], [27], [34], [47], [48], [49], [50], [54], [55], [61] and [68] Guo, Cho, Chen, Sengupta, Hong & Mitra [79], considered as data-driven deception detection techniques: data driven, social honeypots, user profile, message content, network structure, early detection, information propagation mitigation and blockchain -based authenticity.…”

Section: B Answers To Research Questionsmentioning

confidence: 99%

Mobile Applications for Cybercrime Prevention: A Comprehensive Systematic Review

Chipa¹,

Gamboa-Cruzado²,

Villacorta³

2022

IJACSA

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Now-a-days, cybercrime, cyberattacks, cyber security, phishing and malware are taking a more notorious role in people's daily lives, not only at the international level. The great technological leaps brought with them new modalities of cybercrime, the number of victims of cybercriminals has increased considerably. The objective of this study is to determine the state of the art about Mobile Applications and their impact on Computer Crime Prevention. Therefore, it has become necessary to know what preventive measures are being taken, such as techniques for detecting computer crimes, their modalities and their classification. To close this knowledge gap, a systematic literature review (SLR), a methodology proposed by Kitchenham & Charters, was proposed to obtain the detection techniques and classification of computer crimes based on the review of 68 papers published between the years 2017 and 2022. Likewise, different tables and graphs of the selected studies are provided, which offer additional information such as the most used keywords per paper, biometric networks, among others.

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“…More opportunities for work and business have emerged as a result of the development of the internet [1]. According to a survey, the internet accounts for more than 60% of total commercial transactions [2]. There is no doubt, the advent of internet has brought about immense social changes and improved the way we live and do things.…”

Section: Introductionmentioning

confidence: 99%

Detection of Distributed Denial of Service (DDoS) attacks using convolutional neural networks

Akinwumi¹,

Akingbesote²,

Ajayi³

et al. 2023

Nig. J. Tech.

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The rapid evolution of the Internet has brought tremendous benefits to the world at large. To effectively leverage on the importance of the internet, there is the need for a secured and reliable network. But currently, there are lots of network attacks against network infrastructures. One of such attack is the Distributed Denial of Service (DDoS) attacks which is an attempt by hackers to deny authorized users access internet service availability using many attack machines. In this paper, a Convolutional Neural Network based detection model is proposed to proffer solution to the challenges of DDoS attacks. The dataset for the modelling was sourced from the KDD Cup-99 Dataset. The evaluation of the experiment conducted was based on three standard metrics of accuracy, sensitivity and specificity. The experimental results showed that the developed model had an accuracy of 99.72%, specificity of 99.69% and sensitivity of 99.71%. Furthermore, the performance of the model was compared with other existing traditional learning models, the results indicated that the model presented in this work performed significantly better.

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Cyber Security Challenges and its Emerging Trends on Latest Technologies

Cited by 42 publications

References 4 publications

Cybersecurity challenges in the knowledge economy

Cybersecurity challenges in the knowledge economy

Mobile Applications for Cybercrime Prevention: A Comprehensive Systematic Review

Detection of Distributed Denial of Service (DDoS) attacks using convolutional neural networks

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