Counteraction to information influence in social networking services by means of fuzzy logic system

Молодецька, К. В.; Солонніков, Владислав; Войтко, Олександр; Humeniuk, Ihor; Matsko, Oleksandr; Oleksyj, Samchyshyn

doi:10.11591/ijece.v11i3.pp2490-2499

Cited by 5 publications

(4 citation statements)

References 23 publications

(33 reference statements)

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“…This result implies that when the habitual perspective increases, one's susceptibility to SECA also increases, in the context of using a social media messaging application. This study is in accordance with research conducted by Albladi and Weir [18] and Molodetska et al [35], which found frequent status updates and a high Human Behavior and Emerging Technologies number of contacts that comprise a habitual perspective can increase the level of susceptibility to SECA. Another study that indirectly supports this finding is by Darwish et al [33], who found that a higher frequency of online shopping also leads to greater susceptibility to phishing attacks.…”

Section: Habitual Perspectivesupporting

confidence: 93%

Are You a Soft Target for Cyber Attack? Drivers of Susceptibility to Social Engineering-Based Cyber Attack (SECA): A Case Study of Mobile Messaging Application

Wulandari

Adnan

Wicaksono

2022

Human Behavior and Emerging Technologies

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A rise in working and studying from home, activities which depend on the Internet, and the exchange of data coupled with a lack of understanding about security for interacting in cyberspace have made cybersecurity one of the most pressing concerns today. One form, in particular, is a social engineering-based cyber attack. Unfortunately, not much research has been conducted on the susceptibility factors that cause this to happen. This study attempts to understand what factors make a person susceptible to cyber attacks that can be seen from three perspectives: habitual perspective, perception perspective, and social and motivation perspective. The objective of the research is to identify specific characteristics and drivers regarding the social engineering-based cyber attack (SECA) susceptibility of a consumer exposed to social media messaging applications. A quantitative survey was employed to test a total of 114 respondents in Indonesia who are categorized as active Internet users. The study found variables within two of the three perspectives that positively contributed to a consumer’s susceptibility to cyberattack. These factors will provide valuable insight into prevention and knowledge of related risks of cyberattacks based on social engineering in the future.

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Section: Habitual Perspectivesupporting

confidence: 93%

Are You a Soft Target for Cyber Attack? Drivers of Susceptibility to Social Engineering-Based Cyber Attack (SECA): A Case Study of Mobile Messaging Application

Wulandari

Adnan

Wicaksono

2022

Human Behavior and Emerging Technologies

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“…This level of engagement can be measured in many ways, i.e., number of friends or connections, posts, groups followed, etc. Users that show high levels of social or virtual network engagement are more exposed to SE attacks [61]. In SE attacks, trust and deception can further be classified into sub-domains, as shown in Table 6.…”

Section: Trust and Deceptionmentioning

confidence: 99%

A Study on the Psychology of Social Engineering-Based Cyberattacks and Existing Countermeasures

2022

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As cybersecurity strategies become more robust and challenging, cybercriminals are mutating cyberattacks to be more evasive. Recent studies have highlighted the use of social engineering by criminals to exploit the human factor in an organization’s security architecture. Social engineering attacks exploit specific human attributes and psychology to bypass technical security measures for malicious acts. Social engineering is becoming a pervasive approach used for compromising individuals and organizations (is relatively more convenient to compromise a human compared to discovering a vulnerability in the security system). Social engineering-based cyberattacks are extremely difficult to counter as they do not follow specific patterns or approaches for conducting an attack, making them highly effective, efficient, easy, and obscure approaches for compromising any organization. To counter such attacks, a better understanding of the attack tactics is highly essential. Hence, this paper provides an in-depth analysis of the approaches used to conduct social engineering-based cyberattacks. This study discusses human vulnerabilities employed by criminals in recent security breaches. Further, the paper highlights the existing approaches, including machine learning-based methods, to counter social engineering-based cyberattacks.

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“…In [9], a fuzzy set decision support system is presented for automating the procedure for selecting a model to formalize interactions between actors in virtual communities and social networks. In this case, a system of fuzzy indicators for evaluating the elements of information impact is used.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…The results of the analysis of works related to the identification of methods of manipulation in messages distributed on the Internet [8][9][10][11][12][13][14][15][16][17] indicate that today there is no comprehensive approach to determining the methods of IPI in text messages. The use of indicators proposed in [8][9][10][11][12][13][14][15][16][17] does not imply further automated solution of the content analysis problem.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a method for determining the indicators of manipulation based on morphological synthesis

Yevseiev

Katsalap

Mikhieiev

et al. 2022

EEJET

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Research on the development of methods for identifying signs of hidden manipulation (destructive information and psychological impact) in text messages that are published on Internet sites and distributed among users of social networks is relevant. One of the main problems in the development of these methods is the difficulty of formalizing the process of identifying signs of manipulation in text messages of social network agents. To do this, based on morphological synthesis, it is necessary to determine relevant indicators for analyzing text messages and criteria for making a decision about the presence of signs of manipulation in text messages. Based on morphological synthesis, a method for determining manipulation indicators in text messages was developed, taking into account the achievements of modern technologies of intelligent content analysis of text messages, machine learning methods, fuzzy logic and computational linguistics, which made it possible to reasonably determine a group of indicators for evaluating text messages for signs of manipulation. The stages of the method include evaluating the text message at the level of perception by the indicator of text readability, at the phonetic level by the indicator of emotional impact on the subconscious, at the graphic level by the indicator of text marking intensity, and calculating the integral indicator for making a decision about the presence of manipulation in the text message. Based on the proposed method, specialized software was developed that provided 13 % greater accuracy in evaluating messages for manipulative impact compared to the known method of expert evaluations, which reduced the influence of the subjective factor on the evaluation result

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Counteraction to information influence in social networking services by means of fuzzy logic system

Cited by 5 publications

References 23 publications

Are You a Soft Target for Cyber Attack? Drivers of Susceptibility to Social Engineering-Based Cyber Attack (SECA): A Case Study of Mobile Messaging Application

Are You a Soft Target for Cyber Attack? Drivers of Susceptibility to Social Engineering-Based Cyber Attack (SECA): A Case Study of Mobile Messaging Application

A Study on the Psychology of Social Engineering-Based Cyberattacks and Existing Countermeasures

Development of a method for determining the indicators of manipulation based on morphological synthesis

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