Zobrazeno 1 - 10
of 22
pro vyhledávání: '"V. S. Subrahmanian"'
Autor:
Jure Leskovec, Miriam J. Metzger, Srijan Kumar, Jay F. Nunamaker, V. S. Subrahmanian, Chongyang Bai
Publikováno v:
Terrorism, Security, and Computation ISBN: 9783030543822
Identifying the visual focus of attention (VFOA) in multi-person discussions is related to many types of social interactions such as dominance/deference, like/dislike, and trust/distrust relationships. However, identifying the VFOA of a person is cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1fda1cc6f7e194bd37bb9a613c83035
https://doi.org/10.1007/978-3-030-54383-9_8
https://doi.org/10.1007/978-3-030-54383-9_8
Publikováno v:
Bai, C, Han, Q, Mezzour, G, Pierazzi, F & Subrahmanian, V S 2019, ' DBank : Predictive Behavioral Analysis of Recent Android Banking Trojans ', IEEE Transactions on Dependable and Secure Computing . https://doi.org/10.1109/TDSC.2019.2909902
Using a novel dataset of Android banking trojans (ABTs), other Android malware, and goodware, we develop the $\sf {DBank}$ DBank system to predict whether a given Android APK is a banking trojan or not. We introduce the novel concept of a Triadic Sus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92bc67abb11534a94440b5b6bfbfd80c
https://hdl.handle.net/11380/1187321
https://hdl.handle.net/11380/1187321
Publikováno v:
Chakraborty, T, Pierazzi, F & Subrahmanian, V S 2020, ' EC2 : Ensemble Clustering and Classification for Predicting Android Malware Families ', IEEE Transactions on Dependable and Secure Computing, vol. 17, no. 2, 8013726, pp. 262-277 . https://doi.org/10.1109/TDSC.2017.2739145
As the most widely used mobile platform, Android is also the biggest target for mobile malware. Given the increasing number of Android malware variants, detecting malware families is crucial so that security analysts can identify situations where sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b92f41fae1740294d65724549726c2f8
https://kclpure.kcl.ac.uk/ws/files/126815280/EC2_Ensemble_Clustering_and_CHACKRABORTY_Acc2Aug2017_GREEN_AAM.pdf
https://kclpure.kcl.ac.uk/ws/files/126815280/EC2_Ensemble_Clustering_and_CHACKRABORTY_Acc2Aug2017_GREEN_AAM.pdf
Publikováno v:
Università degli studi di Modena e Reggio Emilia-IRIS
According to Nokia’s 2017 Threat Intelligence Report, 68.5% of malware targets the Android platform; Windows is second with 28%, followed by iOS and other platforms with 3.5%. The Android spyware family U A P USH was responsible for the most infect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2af0246cc49df2ff8448222bdbe2d73
http://hdl.handle.net/11585/811609
http://hdl.handle.net/11585/811609
Publikováno v:
ICDM
When a new vulnerability is discovered, a Common Vulnerability and Exposure (CVE) number is publicly assigned to it. The vulnerability is then analyzed by the US National Institute of Standards and Technology (NIST) whose Common Vulnerability Scoring
This is the first study of Boko Haram that brings advanced data-driven, machine learning models to both learn models capable of predicting a wide range of attacks carried out by Boko Haram, as well as develop data-driven policies to shape Boko Haram'
This book analyzes the multimodal verbal and nonverbal behavior of humans in both an artificial game, based on the well-known Mafia and Resistance games, as well as selected other settings. This book develops statistical results linking different typ
Publikováno v:
KDD
When a new cyber-vulnerability is detected, a Common Vulnerability and Exposure (CVE) number is attached to it. Malicious "exploits'' may use these vulnerabilities to carry out attacks. Unlike works which study if a CVE will be used in an exploit, we
The problem of understanding the reasons behind why different machine learning classifiers make specific predictions is a difficult one, mainly because the inner workings of the algorithms underlying such tools are not amenable to the direct extracti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::147aaa4c989c37fcd2a13b748db8baf8
https://ieeexplore.ieee.org/document/8668423
https://ieeexplore.ieee.org/document/8668423
Autor:
V. S. Subrahmanian
Publikováno v:
Flexible Query Answering Systems ISBN: 9783030276287
FQAS
FQAS
Logic stands at the very heart of computer science. In this talk, I will argue that logic is also an essential part of machine learning and that it has a fundamental role to play in both international security and counter-terrorism. I will first brie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4326a07db0f58f67a9ad7132023b8d08
https://doi.org/10.1007/978-3-030-27629-4_1
https://doi.org/10.1007/978-3-030-27629-4_1