PhishLedger

Liu, Dong-Jie; Wang, Wei; Wang, Yang; Tan, Ya-Ling

doi:10.1145/3343147.3343154

Cited by 7 publications

(2 citation statements)

References 8 publications

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“…Internet users, brand enterprises, browser manufacturers and authorities) with uniform data sharing format and unobstructed sharing channels for common phishing reporting. One way to achieve this is with multi-party phishing data sharing platform based on blockchains [43]. In summary, the methods listed in Table 1 are available to counteract phishing.…”

Section: Phishing Countermeasuresmentioning

confidence: 99%

Don’t click: towards an effective anti-phishing training. A comparative literature review

Jampen

Gür

Sutter

et al. 2020

Hum. Cent. Comput. Inf. Sci.

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The security threat posed by email-based phishing campaigns targeted at employees is a well-known problem experienced by many organizations. Attacks are reported each year, and a reduction in the number of such attacks is unlikely to occur in the near future (see Fig. 1). A common type of phishing attack involves an attacker attempting to trick victims into clicking on links sent via email. Such links redirect victims to websites that are carefully designed to mimic those of legitimate organizations with the goal of convincing users to provide their personal information and credentials. Attackers then use the phished data to execute their schemes further. Phishing attacks may be used to obtain access to an organization's internal servers and steal company secrets or to steal victims' personal information, such as credit card details [1]. In this publication, we focus on email-based phishing attacks, as this is currently the most commonly used channel and poses a significant threat to both individuals and companies globally

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Section: Phishing Countermeasuresmentioning

confidence: 99%

Don’t click: towards an effective anti-phishing training. A comparative literature review

Jampen

Gür

Sutter

et al. 2020

Hum. Cent. Comput. Inf. Sci.

View full text Add to dashboard Cite

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“…The consortium blockchain was used to implement the phishing data-sharing technique, as demonstrated by Liu et al [25]. The four distinct node types-reporting, accounting, service, and supervisory-have their respective tasks represented in the suggested model.…”

Section: Comprehensive Reviewmentioning

confidence: 99%

Blockchain-Based Data Breach Detection: Approaches, Challenges, and Future Directions

Ansar,

Ahmed,

Helfert

et al. 2023

Mathematics

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In cybersecurity, personal data breaches have become one of the significant issues. This fact indicates that data breaches require unique detection systems, techniques, and solutions, which necessitate the potential to facilitate precise and quick data breach detection. Various research works on data breach detection and related areas in dealing with this problem have been proposed. Several survey studies have been conducted to comprehend insider data breaches better. However, these works did not examine techniques related to blockchain and innovative smart contract technologies to detect data breaches. In this survey, we examine blockchain-based data breach detection mechanisms developed so far to deal with data breach detection. We compare blockchain-based data breach detection techniques based on type, platform, smart contracts, consensus algorithm language/tool, and evaluation measures. We also present a taxonomy of contemporary data breach types. We conclude our study by outlining existing methodologies’ issues, offering ideas for overcoming those challenges, and pointing the way forward.

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CFLedger: Preventing chargeback fraud with blockchain

Liu

Lee

2022

ICT Express

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PhishLedger

Cited by 7 publications

References 8 publications

Don’t click: towards an effective anti-phishing training. A comparative literature review

Don’t click: towards an effective anti-phishing training. A comparative literature review

Blockchain-Based Data Breach Detection: Approaches, Challenges, and Future Directions

CFLedger: Preventing chargeback fraud with blockchain

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