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https://sites.google.com/view/dark-matt ... arket-link Subscribe to our newsletter for blog posts, intel, webinars, and more. https://sites.google.com/view/dark-web- ... rket-onion Number of monthly newly-appeared and disappeared listings in the marketplaces Agora and Evolution.We observed the same listings posted in different marketplaces and illustrate the dependency of the same opioid listings among different marketplaces. Note that we determined if 2 listings are identical by matching the same elements (ie, listing’s title and description information and the vendor’s name) in 2 listings. We observed that the marketplaces of Agora and Evolution shared 530 opioid listings from 290 unique supplier IDs. https://sites.google.com/view/dark-web- ... net-market That didn't put an end to criminal sales on the dark web, one illicit website made $219 million in sales in 2017, years after The Silk Road shut down, according to a RAND Corporation report.The Tor browser's anonymizing setup also makes the dark web useful for spies, activists hiding from authoritarian governments, or anyone trying to avoid censorship or internet restrictions, Yagemann said.It's not all crime and state secrets on the dark web, however."The stuff that goes on the dark web is the same kind of stuff that goes on in normal life. It's just because it's harder to attribute servers on the dark web to a particular person. It could be harder for that person to be held accountable by laws," Yagemann said.
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https://sites.google.com/view/dark-matt ... tter-onion Cryptocurrency analysts have shed light on an online marketplace called HuiOne Guarantee that's widely used by cybercriminals in Southeast Asia, particularly those linked to pig butchering scams. https://sites.google.com/view/darknet-m ... arknet-url The dark web is also used in certain extortion-related processes. It is common to observe data from ransomware attacks on several dark web sites, for example data sales sites or public data repository sites. https://sites.google.com/view/darknet-m ... market-url This section elaborates on the methodology used to identify opioid trading information in the anonymous market and forums. We illustrate the methodology pipeline (Figure 4). Specifically, we collected approximately 248,359 unique listings and 1,138,961 unique forum traces (ie, threads of posts) from 10 anonymous online marketplaces and 6 forums. We then identified 311 opioid keywords and jargons to recognize 28,106 listings and 13,508 forum traces related to underground opioid trading activities. Finally, we used natural language processing techniques to extract opioid trading information to characterize underground opioid commodities, suppliers, and transactions.
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https://sites.google.com/view/darknet-p ... net-market Google Scholar] [CrossRef]Kwon, D.; Kim, H.; Kim, J.; Suh, S.C.; Kim, I.; Kim, K.J. A survey of deep learning-based network anomaly detection. Clust. Comput. https://sites.google.com/view/darknet-p ... -web-links Finding your own account or personal details for sale on the dark web can be a daunting experience. The first step to take is to contact the authorities. Buying back your personal details from the marketplace will not put an end to the problem. https://sites.google.com/view/darknet-m ... ll-a-thing Abstract:Network telescopes or "Darknets" provide a unique window into Internet-wide malicious activities associated with malware propagation, denial of service attacks, scanning performed for network reconnaissance, and others. Analyses of the resulting data can provide actionable insights to security analysts that can be used to prevent or mitigate cyber-threats. Large Darknets, however, observe millions of nefarious events on a daily basis which makes the transformation of the captured information into meaningful insights challenging. We present a novel framework for characterizing Darknet behavior and its temporal evolution aiming to address this challenge. The proposed framework: (i) Extracts a high dimensional representation of Darknet events composed of features distilled from Darknet data and other external sources; (ii) Learns, in an unsupervised fashion, an information-preserving low-dimensional representation of these events (using deep representation learning) that is amenable to clustering; (iv) Performs clustering of the scanner data in the resulting representation space and provides interpretable insights using optimal decision trees; and (v) Utilizes the clustering outcomes as "signatures" that can be used to detect structural changes in the Darknet activities. We evaluate the proposed system on a large operational Network Telescope and demonstrate its ability to detect real-world, high-impact cybersecurity incidents.
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https://sites.google.com/view/dark-matt ... tter-onion Cryptocurrency analysts have shed light on an online marketplace called HuiOne Guarantee that's widely used by cybercriminals in Southeast Asia, particularly those linked to pig butchering scams. https://sites.google.com/view/darknet-m ... arknet-url The dark web is also used in certain extortion-related processes. It is common to observe data from ransomware attacks on several dark web sites, for example data sales sites or public data repository sites. https://sites.google.com/view/darknet-m ... market-url This section elaborates on the methodology used to identify opioid trading information in the anonymous market and forums. We illustrate the methodology pipeline (Figure 4). Specifically, we collected approximately 248,359 unique listings and 1,138,961 unique forum traces (ie, threads of posts) from 10 anonymous online marketplaces and 6 forums. We then identified 311 opioid keywords and jargons to recognize 28,106 listings and 13,508 forum traces related to underground opioid trading activities. Finally, we used natural language processing techniques to extract opioid trading information to characterize underground opioid commodities, suppliers, and transactions.
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https://sites.google.com/view/darknet-p ... net-market Google Scholar] [CrossRef]Kwon, D.; Kim, H.; Kim, J.; Suh, S.C.; Kim, I.; Kim, K.J. A survey of deep learning-based network anomaly detection. Clust. Comput. https://sites.google.com/view/darknet-p ... -web-links Finding your own account or personal details for sale on the dark web can be a daunting experience. The first step to take is to contact the authorities. Buying back your personal details from the marketplace will not put an end to the problem. https://sites.google.com/view/darknet-m ... ll-a-thing Abstract:Network telescopes or "Darknets" provide a unique window into Internet-wide malicious activities associated with malware propagation, denial of service attacks, scanning performed for network reconnaissance, and others. Analyses of the resulting data can provide actionable insights to security analysts that can be used to prevent or mitigate cyber-threats. Large Darknets, however, observe millions of nefarious events on a daily basis which makes the transformation of the captured information into meaningful insights challenging. We present a novel framework for characterizing Darknet behavior and its temporal evolution aiming to address this challenge. The proposed framework: (i) Extracts a high dimensional representation of Darknet events composed of features distilled from Darknet data and other external sources; (ii) Learns, in an unsupervised fashion, an information-preserving low-dimensional representation of these events (using deep representation learning) that is amenable to clustering; (iv) Performs clustering of the scanner data in the resulting representation space and provides interpretable insights using optimal decision trees; and (v) Utilizes the clustering outcomes as "signatures" that can be used to detect structural changes in the Darknet activities. We evaluate the proposed system on a large operational Network Telescope and demonstrate its ability to detect real-world, high-impact cybersecurity incidents.
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