Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yung Ryn Choe"'
Autor:
Aravind Machiry, Yanick Fratantonio, Giovanni Vigna, Eric Gustafson, Yung Ryn Choe, Nilo Redini, Christopher Kruegel
Publikováno v:
ACSAC
In the past few years, both the industry and the academic communities have developed several approaches to detect malicious Android apps. State-of-the-art research approaches achieve very high accuracy when performing malware detection on existing da
Publikováno v:
ICWS
Outlier detection has been shown to be a promising machine learning technique for a diverse array of felds and problem areas. However, traditional, supervised outlier detection is not well suited for problems such as network intrusion detection, wher
Autor:
Christopher Salls, Giovanni Vigna, Chad Spensky, Eric Gustafson, Yung Ryn Choe, Ruoyu Wang, Christopher Kruegel, Antonio Bianchi, Aravind Machiry, Nick Stephens
Publikováno v:
NDSS
Publikováno v:
ICCS
The Hadoop MapReduce software environment is used for parallel processing of distributively stored data. Data mining algorithms of increasing sophistication are being implemented in MapReduce, bringing new challenges for performance measurement and t
Publikováno v:
IEEE MS
The Center for Strategic and International Studies estimates the annual cost from cyber crime to be more than $400 billion. Most notable is the recent digital identity thefts that compromised millions of accounts. These attacks emphasize the security
Publikováno v:
ICCST
In nuclear facilities, having efficient accountability of critical assets, personnel locations, and activities is essential for productive, safe, and secure operations. Such accountability tracked through standard manual procedures is highly ineffici
Publikováno v:
GLOBECOM
Network measurement is a discipline that provides the techniques to collect data that are fundamental to many branches of computer science. While many capturing tools and comparisons have made available in the literature and elsewhere, the impact of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d827b241318f856f700e00eb452d7875
https://doi.org/10.2172/1029769
https://doi.org/10.2172/1029769
As scientific computing users migrate to petaflop platforms that promise to generate multi-terabyte datasets, there is a growing need in the community to be able to embed sophisticated analysis algorithms in the computing platforms' storage systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::826ca415645f2410b057d8fedb9c0755
https://doi.org/10.2172/1011199
https://doi.org/10.2172/1011199
Publikováno v:
HICSS
As scientific computing users migrate to petaflop platforms that promise to generate multi-terabyte datasets, there is a growing need in the community to be able to embed sophisticated data analysis algorithms in the storage systems for the computing
Publikováno v:
ICME
The challenges and solutions required for peer-to-peer videoon- demand (P2P VoD) provided by a fixed provider such as a cable company are fundamentally different from those seen in traditional P2P networks or client-server VoD solutions. Unlike tradi