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pro vyhledávání: '"Gilad Gressel"'
Publikováno v:
Artificial Intelligence in Gastrointestinal Endoscopy. 3:16-30
Publikováno v:
AI 2022: Advances in Artificial Intelligence ISBN: 9783031226946
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a7936ca2341ab1595229163350e92be
https://doi.org/10.1007/978-3-031-22695-3_50
https://doi.org/10.1007/978-3-031-22695-3_50
Autor:
Gilad Gressel
Publikováno v:
International Journal of Engineering and Advanced Technology. 8:1039-1045
In the last 10 years machine learning has been widely used to combat phishing attacks. The most common approach was to build a classification model that would be able to detect whether or not a given URL or website is a phishing attack. In order to e
Autor:
M. G. Abirami, Gilad Gressel
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811612480
Machine learning solutions are trained on non-stationary datasets that change over time. Data distributions shift with time because data is a representation of the changing world. These changes in data are known as concept drift. In this paper, we pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::035d0a0746fd1bdafbb1349416789cdb
https://doi.org/10.1007/978-981-16-1249-7_24
https://doi.org/10.1007/978-981-16-1249-7_24
Autor:
Gilad Gressel, Aditya Gopal Menon
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811604188
When machine learning models are built with non-stationary data their performance will naturally decrease over time due to concept drift, shifts in the underlying distribution of the data. A common solution is to retrain the machine learning model wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b9e11e08d162dcb2e7106763d4d3077
https://doi.org/10.1007/978-981-16-0419-5_17
https://doi.org/10.1007/978-981-16-0419-5_17
Publikováno v:
ICCCNT
Malware cannot be ignored today as evidenced by the havoc created by Wannacry[29], [12], [23]. Every day malicious actors are writing more intelligent malware. The attacks evolve as actors learn to evade detection techniques, which makes malware dete
Publikováno v:
SecDev
Security Risk Assessments (SRA) play a key role in the Security Development Lifecycle (SDL). At an early stage of the project, the SRA helps allocate security resources and identifies SDL requirements and activities. In this paper, we present key fin
Publikováno v:
HPCS
Given the continuous growth of malicious activities on the internet, there is a need for intelligent systems to identify malicious web pages. It has been shown that URL analysis is an effective tool for detecting phishing, malware, and other attacks.
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::06111d63db730d1b57195c6447174004
http://www.scopus.com/inward/record.url?eid=2-s2.0-84961303284&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84961303284&partnerID=MN8TOARS