Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Andrew Walenstein"'
Autor:
Jinxin Liu, Burak Kantarci, Andrew Malton, Murat Simsek, Andrew Walenstein, Melike Erol-Kantarci
Publikováno v:
Digital Threats: Research and Practice. 3:1-29
Access to resources by users may need to be granted only upon certain conditions and contexts, perhaps particularly in cyber-physical settings. Unfortunately, creating and modifying context-sensitive access control solutions in dynamic environments c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1af93740808fd5c603e1d055bd75478
https://doi.org/10.1145/3480468
https://doi.org/10.1145/3480468
Autor:
Christopher Molloy, Jeremy Banks, H. H. Steven Ding, Philippe Charland, Andrew Walenstein, Litao Li
Publikováno v:
2022 IEEE International Conference on Data Mining (ICDM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a991149a47c684bfa08361986d4cd48c
https://doi.org/10.1109/icdm54844.2022.00143
https://doi.org/10.1109/icdm54844.2022.00143
Autor:
Kundi Yao, Gustavo A. Oliva, Ahmed E. Hassan, Muhammad Asaduzzaman, Andrew J. Malton, Andrew Walenstein
Publikováno v:
Journal of Systems and Software. 201:111651
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68d322858a983c00eab026723158e9c1
https://doi.org/10.1016/j.jss.2023.111651
https://doi.org/10.1016/j.jss.2023.111651
Publikováno v:
ACM Transactions on Internet of Things. 2:1-20
Embedded sensors and smart devices have turned the environments around us into smart spaces that could automatically evolve, depending on the needs of users, and adapt to the new conditions. While smart spaces are beneficial and desired in many aspec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::151a34cd063be2f1f9ed029debebbad4
https://doi.org/10.1145/3466696
https://doi.org/10.1145/3466696
Publikováno v:
CCNC
Social networking research has primarily focused on public social networking services and applications, while rich social interactions in an enterprise setting and their related context has received less attention. In this paper, we focus on using th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00c43f5d58ffce9de5b15640c3b31053
https://doi.org/10.1109/ccnc46108.2020.9045328
https://doi.org/10.1109/ccnc46108.2020.9045328
Autor:
Andrew Walenstein, Andrew Malton
Publikováno v:
CESSER-IP@ICSE
We present an approach to industry-academic research collaboration in which generative modeling is the central mechanism for not only enabling tactical coordination in exploratory research, but also for ensuring strategic alignment of both partners t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d53eea930587708ac5c9d12a7edbe3cf
https://doi.org/10.1109/cesser-ip.2019.00011
https://doi.org/10.1109/cesser-ip.2019.00011
Publikováno v:
Intelligent Vehicles Symposium
Anomaly detection techniques have been applied to the challenging problem of ensuring both cybersecurity and safety of connected vehicles. We propose a taxonomy of prior research in this domain. Our proposed taxonomy has 3 overarching dimensions subs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e666db970eb71cc78638da523fb97234
https://doi.org/10.1109/ivs.2018.8500383
https://doi.org/10.1109/ivs.2018.8500383
Publikováno v:
SOSE
The Internet of Things (IoT) has connected an incredible diversity of devices in novel ways, which has enabled exciting new services and opportunities. Unfortunately, IoT systems also present several important challenges to developers. This paper pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b111424172cc7a1781f3f353ba81506
https://doi.org/10.1109/sose.2017.27
https://doi.org/10.1109/sose.2017.27
Publikováno v:
Journal of Computer Virology and Hacking Techniques. 9:137-157
One method malware authors use to defeat detection of their programs is to use morphing engines to rapidly generate a large number of variants. Inspired by previous works in author attribution of natural language text, we investigate a problem of att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2496e5013feb0e197eeba4f1d2623fb
https://doi.org/10.1007/s11416-013-0183-6
https://doi.org/10.1007/s11416-013-0183-6
Publikováno v:
Journal of Computer Virology and Hacking Techniques. 9:109-123
VILO is a lazy learner system designed for malware classification and triage. It implements a nearest neighbor (NN) algorithm with similarities computed over Term Frequency $$\times $$ Inverse Document Frequency (TFIDF) weighted opcode mnemonic permu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21cf8402ebf026dab5283fa31b559707
https://doi.org/10.1007/s11416-013-0178-3
https://doi.org/10.1007/s11416-013-0178-3