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BSN
2009
IEEE
145views Sensor Networks» more  BSN 2009»
14 years 4 months ago
Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information
—Falls are dangerous for the aged population as they can adversely affect health. Therefore, many fall detection systems have been developed. However, prevalent methods only use ...
Qiang Li, John A. Stankovic, Mark A. Hanson, Adam ...
AAAI
2006
13 years 11 months ago
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...
ICDE
2006
IEEE
167views Database» more  ICDE 2006»
14 years 11 months ago
Better Burst Detection
A burst is a large number of events occurring within a certain time window. As an unusual activity, it's a noteworthy phenomenon in many natural and social processes. Many da...
Xin Zhang, Dennis Shasha
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 10 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
ACSAC
2009
IEEE
14 years 4 months ago
Detecting Software Theft via System Call Based Birthmarks
—Along with the burst of open source projects, software theft (or plagiarism) has become a very serious threat to the healthiness of software industry. Software birthmark, which ...
Xinran Wang, Yoon-chan Jhi, Sencun Zhu, Peng Liu