Nehor Golan
Ariel University
EncryptionWord2vecInternet trafficCluster analysisMetadata
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Publications 3
#1Amit Dvir (Ariel University)H-Index: 9
#2Angelos K. Marnerides (Lancaster University)H-Index: 9
Last. Chen Hajaj (Ariel University)H-Index: 3
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Abstract Cyber threat intelligence officers and forensics investigators often require the behavioural profiling of groups based on their online video viewing activity. It has been demonstrated that encrypted video traffic can be classified under the assumption of using a known subset of video titles based on temporal video viewing trends of particular groups. Nonetheless, composing such a subset is extremely challenging in real situations. Therefore, this work exhibits a novel profiling scheme f...
#1Yonit Marcus (TAU: Tel Aviv University)H-Index: 7
#2Roy Eldor (TAU: Tel Aviv University)H-Index: 1
Last. Ofir Pele (Ariel University)H-Index: 9
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AIMS: This study was designed to improve blood glucose (BG) level predictability and future hypoglycemic and hyperglycemic event alerts through a novel patient-specific supervised-machine-learning (SML) analysis of glucose level based on a continuous-glucose-monitoring system (CGM) that needs no human intervention, and minimizes false-positive alerts. MATERIALS AND METHODS: The CGM data over 7-50 nonconsecutive days from 11 type-1 diabetic patients aged 18-39 with a mean HbA1C of 7.5 ± 1.2% were...
#1Amit Dvir (Ariel University)H-Index: 9
#2Angelos K. Marnerides (Lancaster University)H-Index: 9
Last. Nehor Golan (Ariel University)H-Index: 1
view all 4 authors...
Recent stringent end-user security and privacy requirements caused the dramatic rise of encrypted video streams in which YouTube encrypted traffic is one of the most prevalent. Regardless of their encrypted nature, metadata derived from such traffic flows can be utilized to identify the title of a video, thus enabling the classification of video streams into a single video title using a given video title set. Nonetheless, scenarios where no video title set is present and a supervised approach is...
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