首页|COMSATS University Islamabad Researchers Add New Data to Research in Machine Lea rning (Active-Darknet: An Iterative Learning Approach for Darknet Traffic Detect ion and Categorization)
COMSATS University Islamabad Researchers Add New Data to Research in Machine Lea rning (Active-Darknet: An Iterative Learning Approach for Darknet Traffic Detect ion and Categorization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Islamabad, P akistan, by NewsRx correspondents, research stated, "Darknet refers to asignifi cant portion of the internet that is hidden and not indexed by traditional searc h engines."Funders for this research include Deanship of Research And Graduate Studies, Kin g Khalid University,Through The Small Group Research Project.The news correspondents obtained a quote from the research from COMSATS Universi ty Islamabad:"It is often associated with illicit activities such as the traffi cking of illicit goods, such as drugs, weapons,and stolen data. To keep our onl ine cyber spaces safe in this era of rapid technological advancement andglobal connectivity, we should analyse and recognise darknet traffic. Beyond cybersecur ity, this attentionto detail includes safeguarding intellectual property, stopp ing illegal activity, and following the law. Inorder to improve accuracy and pr ecision in identifying illicit activities, this study presents a novel approachnamed Active-Darknet that uses an active learning-based machine learning model f or detecting darknettraffic. In order to guarantee high-quality analysis, our m ethodology includes extensive data preprocessing,such as numerically encoding c ategorical labels and improving the representation of minority classes usingdat a balancing. In addition to machine learning models, we also use Deep Neural Net works (DNN),Bidirectional Long Short-Term Memory (BI-LSTM) and Flattened-DNN fo r experimentation."
COMSATS University IslamabadIslamabadPakistanAsiaCybersecurityCyborgsEmerging TechnologiesMachine Learning
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