Zobrazeno 1 - 10 of 50 pro vyhledávání: '"Gary Warner"'
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Akademický článek
Clustering Spam Domains and Destination Websites: Digital Forensics with Data Mining
Autor: Chun Wei, Alan Sprague, Gary Warner, Anthony Skjellum
Publikováno v: Journal of Digital Forensics, Security and Law, Vol 5, Iss 1, Pp 21-48 (2010)
Spam related cyber crimes have become a serious threat to society. Current spam research mainly aims to detect spam more effectively. We believe the prosecution of spammers is a more effective way of stopping spam emails than filtering, therefore mor
Externí odkaz: https://doaj.org/article/1975c907830347bfa71f6f903e5d27d7
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2
Patient activation and patient-reported outcomes of men from a community pharmacy lifestyle intervention after prostate cancer treatment
Autor: Bruce A. Griffin, Sara Faithfull, Gary Warner, Karen Poole, Ralph J. F. Manders, Lauren Turner, Kevin Noble, Agnieszka Lemanska, John M Saxton, Zachariah Nazar, John Marshall
Publikováno v: Supportive Care in Cancer
Purpose To report patient activation, which is the knowledge, skills, and confidence in self-managing health conditions, and patient-reported outcomes of men after prostate cancer treatment from a community pharmacy lifestyle intervention. Methods Th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50a355d17f7ff2941c7df2ddb3cf60f2
https://doi.org/10.1007/s00520-021-06404-5
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5
A flow-based approach for Trickbot banking trojan detection
Autor: Ali Gezer, Clifford Wilson, Gary Warner, Prakash Shrestha
Nowadays, online banking is an attractive way of carrying out financial operations such as ecommerce, e-banking, and e-payments without much effort or the need of any physical presence. This increasing popularity in online banking services and paymen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::176406e3ccf0ea98a50b4d62c027f992
https://avesis.kayseri.edu.tr/publication/details/b4ff5bb5-a379-4504-827f-3a424dbe26e5/oai
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6
Inside a phisher's mind: Understanding the anti-phishing ecosystem through phishing kit analysis
Autor: Adam Oest, Adam Doupé, Gary Warner, Gail-Joon Ahn, Brad Wardman, Yeganeh Safei
Publikováno v: eCrime
Phishing attacks are becoming increasingly prevalent: 2016 saw more phishing attacks than any previous year on record according to the Anti-Phishing Working Group. At the same time, the growing level of sophistication of cybercriminals must be unders
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::06043ad01572da71a1ca91789d65304e
https://doi.org/10.1109/ecrime.2018.8376206
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7
Object-of-Interest Retrieval in Social Media Image Databases for e-Crime Forum Detection
Autor: Gary Warner, Xinpeng L. Liao, Chengcui Zhang, Pradip Chitrakar
Publikováno v: International Journal of Multimedia Data Engineering and Management. 6:32-50
Using object-of-interest matching to detect presence of e-Crime activities in low-duplicate social media images is an interesting yet challenging problem that involves many complications due to the dataset's inherent diversity. SURF-based (Speeded Up
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d11c6569e99f1ae911f595cd68a03beb
https://doi.org/10.4018/ijmdem.2015070103
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8
Malware Secrets: De-Obfuscating in the Cloud
Autor: Gary Warner, Arsh Arora, Thomas Stallings, Ragib Hasan
Publikováno v: CLOUD
Malicious software, universally known as malware, is typically used to cause disruption as it tries to steal sensitive information such as passwords, credit card numbers and other pertinent information. Malware infections have increased tremendously
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::381388c7881fb55c9db2ee494868c2f8
https://doi.org/10.1109/cloud.2017.107
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10
Social Media Image Retrieval Using Distilled Convolutional Neural Network for Suspicious e-Crime and Terrorist Account Detection
Autor: Gary Warner, Chengcui Zhang, Pradip Chitrakar, Xinpeng Liao
Publikováno v: ISM
Retrieval of images with object-of-interest from a vast pool of social media images has been a research interest in cyber crime research community for detecting criminal behaviors in social media. Due to inherent diversity and the low duplicate prope
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ba522b516082ba7fa05312d26017e92a
https://doi.org/10.1109/ism.2016.0110
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