Cybersecurity of Industrial Cyber-Physical Systems: A Review

Kayan, Hakan; Nunes, Matthew; Rana, Omer F.; Burnap, Pete; Perera, Charith

doi:10.48550/arxiv.2101.03564

Cited by 2 publications

(2 citation statements)

References 120 publications

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“…which yielded interesting results. The first answer correctly quotes [23] and responds with "lack of adequate evaluation/test environments that utilize up-to-date datasets, variety of testbeds while adapting unified evaluation methods", while the second answer builds on the first one with "lack of research methodology standards" [24].…”

Section: Resultsmentioning

confidence: 99%

A Search Engine for Scientific Publications: a Cybersecurity Case Study

Oliveira¹,

Sousa²,

Praça³

2021

Preprint

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Cybersecurity is a very challenging topic of research nowadays, as digitalization increases the interaction of people, software and services on the Internet by means of technology devices and networks connected to it. The field is broad and has a lot of unexplored ground under numerous disciplines such as management, psychology, and data science. Its large disciplinary spectrum and many significant research topics generate a considerable amount of information, making it hard for us to find what we are looking for when researching a particular subject. This work proposes a new search engine for scientific publications which combines both information retrieval and reading comprehension algorithms to extract answers from a collection of domain-specific documents. The proposed solution although being applied to the context of cybersecurity exhibited great generalization capabilities and can be easily adapted to perform under other distinct knowledge domains.

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Section: Resultsmentioning

confidence: 99%

A Search Engine for Scientific Publications: a Cybersecurity Case Study

Oliveira¹,

Sousa²,

Praça³

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…", which yielded interesting results. The first answer correctly quoted [53] and responded with "lack of adequate evaluation/test environments that utilize up-to-date datasets, variety of testbeds while adapting unified evaluation methods", while the second answer built on the first one with "lack of research methodology standards" [54]. Finally, by asking "Which machine learning models are commonly used?"…”

Section: Cybersecuritymentioning

confidence: 99%

Machine Reading at Scale: A Search Engine for Scientific and Academic Research

Sousa¹,

Oliveira²,

Praça³

2022

Systems

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The Internet, much like our universe, is ever-expanding. Information, in the most varied formats, is continuously added to the point of information overload. Consequently, the ability to navigate this ocean of data is crucial in our day-to-day lives, with familiar tools such as search engines carving a path through this unknown. In the research world, articles on a myriad of topics with distinct complexity levels are published daily, requiring specialized tools to facilitate the access and assessment of the information within. Recent endeavors in artificial intelligence, and in natural language processing in particular, can be seen as potential solutions for breaking information overload and provide enhanced search mechanisms by means of advanced algorithms. As the advent of transformer-based language models contributed to a more comprehensive analysis of both text-encoded intents and true document semantic meaning, there is simultaneously a need for additional computational resources. Information retrieval methods can act as low-complexity, yet reliable, filters to feed heavier algorithms, thus reducing computational requirements substantially. In this work, a new search engine is proposed, addressing machine reading at scale in the context of scientific and academic research. It combines state-of-the-art algorithms for information retrieval and reading comprehension tasks to extract meaningful answers from a corpus of scientific documents. The solution is then tested on two current and relevant topics, cybersecurity and energy, proving that the system is able to perform under distinct knowledge domains while achieving competent performance.

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Cybersecurity of Industrial Cyber-Physical Systems: A Review

Cited by 2 publications

References 120 publications

A Search Engine for Scientific Publications: a Cybersecurity Case Study

A Search Engine for Scientific Publications: a Cybersecurity Case Study

Machine Reading at Scale: A Search Engine for Scientific and Academic Research

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