Results 11 to 20 of about 2,576 (162)
Active-Darknet: An Iterative Learning Approach for Darknet Traffic Detection and Categorization
IEEE AccessDarknet refers to a significant portion of the internet that is hidden and not indexed by traditional search engines. It is often associated with illicit activities such as the trafficking of illicit goods, such as drugs, weapons, and stolen data.
Sidra Abbas +6 more
doaj +2 more sources
Interconnection Between Darknets [PDF]
IEEE Internet Computing, 2021 Tor and i2p networks are two of the most popular darknets. Both darknets have become an area of illegal activities highlighting the necessity to study and analyze them to identify and report illegal content to Law Enforcement Agencies (LEAs). This paper analyzes the connections between the Tor network and the i2p network.
Cilleruelo Rodríguez, Carlos +3 more
openaire +2 more sources
Insulator fault feature extraction system of substation equipment based on machine vision
IET Networks, EarlyView., 2022 Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang +4 more
wiley +1 more source
Enlightening the Darknets: Augmenting Darknet Visibility With Active Probes
IEEE Transactions on Network and Service Management, 2023 Darknets collect unsolicited traffic reaching unused address spaces. They provide insights into malicious activities, such as the rise of botnets and DDoS attacks. However, darknets provide a shallow view, as traffic is never responded. Here we quantify how their visibility increases by responding to traffic with interactive responders with increasing ...
Francesca Soro +7 more
openaire +1 more source
Get off of Chain: Unveiling Dark Web Using Multilayer Bitcoin Address Clustering
IEEE Access, 2022 Bitcoin is the most widely used cryptocurrency for illegal trade in current darknet markets. Owing to the anonymity of its addresses, even though transaction flows are globally visible, Bitcoin clustering remains one of the most challenging and open ...
Minjae Kim +3 more
doaj +1 more source
A Scoping Review of the Emergence of Novel Synthetic Opioids in Australian Drug Markets: What Does This Mean for Harm Reduction Responses? [PDF]
Drug Alcohol RevABSTRACT Issues Rising synthetic opioid deaths in North America, and the emergence of nitazene harms has driven concern about novel synthetic opioids (NSO) in Australia. This scoping review aimed to map what is known about NSOs in Australia. Approach Scoping review of peer‐reviewed and grey literature on NSO detections and harms.
Mammoliti E, Nielsen S, Roxburgh A.
europepmc +2 more sources
JOIV: International Journal on Informatics Visualization, 2023 This study describes the optimization of hand gesture recognition on Raspberry Pi 4 technology has advanced over the past years, some computers are now able to compute much more complex problems like real-time object detection.
Abdul Haris Rangkuti +3 more
doaj +1 more source
Путеводитель предпринимателя, 2023 The article updates the problem of the drug situation in Russia, examines the consequences of the COVID–19 pandemic in the segment of the youth audience, analyzes the trend of 2019–2021 associated with drug trafficking in social networks through the ...
N. V. Filonenko
doaj +1 more source
OpthaNet: Attention-Integrated Architecture for High-Precision Multi-Class Ophthalmic Image Classification. [PDF]
Healthc Technol LettTailored modifications to the classification head and fine‐tuning strategies to improve model robustness and performance. A comprehensive comparative study leveraging transfer learning techniques for multi‐class eye disease classification, evaluating efficacy in diagnosing cataract, diabetic retinopathy and glaucoma.
Rahman S +4 more
europepmc +2 more sources
Detection of Militia Object in Libya by Using YOLO Transfer Learning
Jurnal Teknologi dan Manajemen Informatika, 2020 Humans can recognize and classify shapes, names, and provide responses to object that are received by visually quickly and accurately. More importantly, it is expected that the system created is able to help provide response in all tasks and time, for ...
Yosi Kristian +2 more
doaj +1 more source