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Luckner, Marcin (author)
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1
journal article EST
/
journal article ENG
Android malware concept drift using system calls : detection, characterization and challenges
Guerra Manzanares, Alejandro
;
Luckner, Marcin
;
Bahsi, Hayretdin
Expert systems with applications
2022
/
art. 117200, 19 p. : ill
https://doi.org/10.1016/j.eswa.2022.117200
Journal metrics at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Seotud publikatsioonid
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
2
journal article EST
/
journal article ENG
Concept drift and cross-device behavior : challenges and implications for effective android malware detection
Guerra Manzanares, Alejandro
;
Luckner, Marcin
;
Bahsi, Hayretdin
Computers & Security
2022
/
art. 102757, 20 p. : ill
https://doi.org/10.1016/j.cose.2022.102757
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Seotud publikatsioonid
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
3
journal article EST
/
journal article ENG
Corrigendum to Concept drift and cross-device behavior: Challenges and implications for effective android malware detection Computers & Security, Volume 120, 102757 (Computers & Security (2022) 120, (S0167404822001523), (10.1016/j.cose.2022.102757))
Guerra-Manzanares, Alejandro
;
Luckner, Marcin
;
Bahsi, Hayretdin
Computers and Security
2023
/
art. 102998
https://doi.org/10.1016/j.cose.2022.102998
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journal article EST
/
journal article ENG
4
journal article EST
/
journal article ENG
Leveraging the first line of defense : a study on the evolution and usage of android security permissions for enhanced android malware detection
Guerra Manzanares, Alejandro
;
Luckner, Marcin
;
Bahsi, Hayretdin
Journal of Computer Virology and Hacking Techniques
2022
/
32 p. : ill
https://doi.org/10.1007/s11416-022-00432-3
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Seotud publikatsioonid
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
5
dissertation
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
Guerra Manzanares, Alejandro
2022
https://doi.org/10.23658/taltech.54/2022
https://digikogu.taltech.ee/et/Item/f56ae778-e5a5-4147-a8e4-4833e08fa789
https://www.ester.ee/record=b5511898*est
dissertation
Seotud publikatsioonid
14
Hybrid feature selection models for machine learning based botnet detection in IoT networks
In-depth feature selection and ranking for automated detection of mobile malware
Time-frame analysis of system calls behavior in machine learning-based mobile malware detection
Towards the integration of a post-hoc interpretation step into the machine learning workflow for IoT botnet detection
KronoDroid : time-based hybrid-featured dataset for effective android malware detection and characterization
Android malware concept drift using system calls : detection, characterization and challenges
Concept drift and cross-device behavior : challenges and implications for effective android malware detection
Cross-device behavioral consistency : benchmarking and implications for effective android malware detection
Leveraging the first line of defense : a study on the evolution and usage of android security permissions for enhanced android malware detection
On the relativity of time : implications and challenges of data drift on long-term effective android malware detection
MedBIoT : generation of an IoT Botnet Dataset in a medium-sized IoT network
Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systems
On the application of active learning for efficient and effective Iot botnet detection
On the application of active learning to handle data evolution in Android malware detection
Number of records 5, displaying
1 - 5
author
9
1.
Luckner, Marcin
2.
Imielinski, Marcin
3.
Jarnut, Marcin
4.
Lener, Marcin R.
5.
Nowak, Mikolaj Marcin
6.
Penk, Marcin
7.
Zarakowski, Marcin
8.
Zarski, Marcin
9.
Żarski, Marcin
name of the person
1
1.
Ulam, Stanislaw Marcin
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