A Review of Dark Web: Trends and Future Directions

Sobhan, Shahriar; Williams, T.; Faruk, Md Jobair Hossain; Rodriguez, John; Tasnim, Masrura; Mathew, Edwin; Wright, J.; Shahriar, Hossain

doi:10.1109/compsac54236.2022.00283

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…Countermeasures to address the identified issues are proposed to enhance the security of browser extensions and mitigate the risks associated with malicious activities. 2022) author state that in order to examine numerous publications pertaining to the topic, the study technique on the dark web comprised a methodical assessment of relevant research papers were found by doing searches utilizing particular keywords, such as "Dark Web" and "Cybersecurity," [3]in reliable scientific databases. Based on publication subjects and time constraints, the paper classification process-which was inspired by earlier works-aided in eliminating unrelated studies [3].…”

Section: Literature Reviewmentioning

confidence: 99%

“…2022) author state that in order to examine numerous publications pertaining to the topic, the study technique on the dark web comprised a methodical assessment of relevant research papers were found by doing searches utilizing particular keywords, such as "Dark Web" and "Cybersecurity," [3]in reliable scientific databases. Based on publication subjects and time constraints, the paper classification process-which was inspired by earlier works-aided in eliminating unrelated studies [3]. The C4.5 technique for decision tree generation, Random Forest (RF) technique for classification tasks, and Bayesian Networks (BNs) for modeling dependent connections are some of the equations listed in the document.…”

Section: Literature Reviewmentioning

confidence: 99%

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Analyzing Security Risks in Browser Extension Search Tools: A Literature Review

Allauddin

2024

IJSREM

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The literature review titled "Analyzing Security Risks in Browser Extension Search Tools" explores the growing interconnection between the digital and physical domains and the vulnerabilities and threats that accompany it. The study highlights how the Darkweb can be used for communication and anonymity, but because it is encrypted, it presents difficulties for law enforcement. Although browser extensions are essential for improving user experiences when browsing, they also offer security vulnerabilities like cross-site scripting and privilege escalation that can be used maliciously. The study emphasizes the necessity of better detection techniques for malicious extensions using Static and dynamic analysis combined, as well as the significance of advanced threat analysis and AI integration to foresee and mitigate cyber attacks.In order to improve the practical applicability of security measures, the study also urges a deeper comprehension of user behaviors and socioeconomic dynamics inside the Darkweb ecosystem. In order to successfully handle evolving cyber risks, future research topics include developing automated security testing procedures, upgrading authorship attribution algorithms for user privacy, and developing tools such as the WAP static analysis tool. Keywords: Browser add-ons, security hazards, Darkweb, online threats, sophisticated threat analysis, artificial intelligence integration, methods of detection, user conduct, and acknowledgment of authors WAP tool, cybersecurity, and automated security testing.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Analyzing Security Risks in Browser Extension Search Tools: A Literature Review

Allauddin

2024

IJSREM

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Social Media Monitoring, Measurement, Analysis and Big Data

Sutherland

2024

Strategic Social Media Management

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A general and modular framework for dark web analysis

Ruiz Ródenas,

Pastor-Galindo,

Gómez Mármol

2023

Cluster Comput

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The dark web, often linked with illegal activities, can be monitored with different solutions. However, these tools are typically purpose-specific and designed for unique use cases. In this study, we propose a flexible and scalable framework that facilitates the easy integration of new workflows for dark web analysis. The design is based on the control, logic and operations layers, supplemented by a tools module, logs management, asynchronous message-based communication and a database. The implementation maps the features into a microservice approach, utilizing the open-source technologies Docker Swarm, Kafka, ELK Stack (Elastic Search, Logstash and Kibana), and PostgreSQL. A workflow to scrape web elements of Tor onion services is deployed and validated, demonstrating considerable framework performance despite the time-consuming task of navigating the dark web. Over 16 h, the framework collected over half million onion domains (84,371 unique ones) and made 78,555 accesses to them.

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A Review of Dark Web: Trends and Future Directions

Cited by 6 publications

References 20 publications

Analyzing Security Risks in Browser Extension Search Tools: A Literature Review

Analyzing Security Risks in Browser Extension Search Tools: A Literature Review

Social Media Monitoring, Measurement, Analysis and Big Data

A general and modular framework for dark web analysis

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