A method of detecting a compromised machine on a network. The method receives an email message from a machine on the network and classifies it as either spam or non-spam. A probability ratio is then updated, according to whether the message was spam or non-spam, by applying a sequential probability ratio test. If the probability ratio is greater than or equal to a first threshold, then the machine is compromised. If the probability ratio is less than or equal to a second threshold, then the machine is normal. The operations of receiving a message, classifying the message, updating the probability ratio, and indicating the machine is normal or compromised until the probability ratio is greater than or equal to the first threshold are repeated for a plurality of messages. Such repeated operations are performed on each of the messages one at a time, as each of the messages is received.
Method Of Detecting Compromised Computers In A Network
A method of detecting a compromised machine on a network. The method receives an email message from a machine on the network and classifies it as either spam or non-spam. A probability ratio is then updated, according to whether the message was spam or non-spam, by applying a sequential probability ratio test. If the probability ratio is greater than or equal to a first threshold, then the machine is compromised. If the probability ratio is less than or equal to a second threshold, then the machine is normal. The operations of receiving a message, classifying the message, updating the probability ratio, and indicating the machine is normal or compromised until the probability ratio is greater than or equal to the first threshold are repeated for a plurality of messages. Such repeated operations are performed on each of the messages one at a time, as each of the messages is received.
Method Of Detecting Compromised Computers In A Network
A method of detecting a compromised machine on a network. The method receives an email message from a machine on the network and classifies it as either spam or non-spam. A probability ratio is then updated, according to whether the message was spam or non-spam, by applying a sequential probability ratio test. If the probability ratio is greater than or equal to a first threshold, then the machine is compromised. If the probability ratio is less than or equal to a second threshold, then the machine is normal. The operations of receiving a message, classifying the message, updating the probability ratio, and indicating the machine is normal or compromised until the probability ratio is greater than or equal to the first threshold are repeated for a plurality of messages. Such repeated operations are performed on each of the messages one at a time, as each of the messages is received.
Method Of Detecting Compromised Computers In A Network
A method of detecting a compromised machine on a network. The method receives an email message from a machine on the network and classifies it as either spam or non-spam. A probability ratio is then updated, according to whether the message was spam or non-spam, by applying a sequential probability ratio test. If the probability ratio is greater than or equal to a first threshold, then the machine is compromised. If the probability ratio is less than or equal to a second threshold, then the machine is normal. The operations of receiving a message, classifying the message, updating the probability ratio, and indicating the machine is normal or compromised until the probability ratio is greater than or equal to the first threshold are repeated for a plurality of messages. Such repeated operations are performed on each of the messages one at a time, as each of the messages is received.
- Fremont CA, US Cem BASCERI - Los Gatos CA, US Peng CHEN - Dublin CA, US
International Classification:
H01L 25/075
Abstract:
Some embodiments of the disclosure provide for a lighting system including a substrate. The lighting system includes several blue light emitting diodes (LEDs) supported by the substrate. The lighting system includes at least one red LED supported by the substrate. The lighting system includes a light conversion material covering the blue LEDs and the at least one red LED.
- Santa Clara CA, US Xiaocheng Zhang - San Jose CA, US Peng Chen - San Jose CA, US Thomas Riedell - Palo Alto CA, US Yuanshan Chen - Fremont CA, US Pingping Zhang - Nanjing, CN David Moseley - Menlo Park CA, US
International Classification:
B60L 53/12 H02J 7/02 H01F 38/14 B60L 50/64
Abstract:
Embodiments are disclosed of an apparatus including a vehicle. A battery pack including one or more individual batteries powers the vehicle. An underbody shield positioned on the underside of the vehicle protects the battery pack and has integrated therein an induction coil and one or more power conditioning components electrically coupled between the induction coil and the battery pack.
- Cupertino CA, US Alaa Al-okaily - Santa Clara CA, US Anuranjini Pragada - San Jose CA, US Colleen F. Mischke - Sunnyvale CA, US Derek J. Iredale - Campbell CA, US Michael R. Monson - San Jose CA, US Nagarajan Kalyanasundaram - Los Gatos CA, US Peng Chen - Fremont CA, US Pierre P. Souloumiac - Sunnyvale CA, US
International Classification:
H05K 7/20 G03B 17/55 H04M 1/02
Abstract:
An electronic module includes an operational subunit, having upper, lower and lateral surfaces, and including one or more electronic components, which are adjacent to the lower surface of the operational subunit and generate heat when the module is in operation. A heat sink is disposed in proximity to the lower surface of the operational subunit. A heat spreader, including a continuous sheet of a heat-conducting material, is folded to wrap around the operational subunit so that a lower side of the sheet is interposed between the lower surface of the operational subunit and the heat sink and a lateral side of the sheet extends around at least one of the lateral surfaces of the operational subunit.
- Fremont CA, US Cem BASCERI - Los Gatos CA, US Peng CHEN - Dublin CA, US
International Classification:
H01L 25/075
Abstract:
Some embodiments of the disclosure provide for a lighting system including a substrate. The lighting system includes several blue light emitting diodes (LEDs) supported by the substrate. The lighting system includes at least one red LED supported by the substrate. The lighting system includes a light conversion material covering the blue LEDs and the at least one red LED.
Isbn (Books And Publications)
L'information Precontractuelle En Droit Des Assurances: Etude De Droit Compare Francais Et Chinois
UT PhysiciansMischer Neuroscience Institute At Memorial Hermann 6400 Fannin St STE 2800, Houston, TX 77030 (713)7047100 (phone), (713)7047150 (fax)
Education:
Medical School Sun Yat Sen Univ of Med Sci, Guangzhou, China (242 21 Pr 1/71) Graduated: 1987
Conditions:
Intervertebral Disc Degeneration
Languages:
English Spanish
Description:
Dr. Chen graduated from the Sun Yat Sen Univ of Med Sci, Guangzhou, China (242 21 Pr 1/71) in 1987. He works in Houston, TX and specializes in Surgery , Neurological. Dr. Chen is affiliated with Memorial Hermann Texas Medical Center.
Black Legend Capital Los Angeles, CA Jun 2014 to Aug 2014 Investment Banking Summer AnalystInfinitedge Partners Pleasanton, CA Feb 2014 to Jun 2014 Investment Banking Spring AnalystRoulston Research Madison, WI Jan 2014 to Feb 2014 Virtual Research InternshipChina Galaxy Securities Wenzhou, China Jul 2013 to Aug 2013 Financial Summer AnalystShanghai Pudong Development Bank Wenzhou, China May 2011 to Jul 2011 Credit Analyst Internship
Education:
University of Wisconsin-Madison Madison, WI 2010 to 2015 Bachelor of Business Administration in Finance, Investment and Banking; Accounting
Skills:
Proficient in Microsoft Excel, Word, PowerPoint, Access and Outlook; Proficient in Bloomberg and CapIQ Fluent in Chinese and English; Proficient in Japanese
1. Ibbotson, Roger, Milevsky, Moshe A., Peng Chen, and Kevin X. Zhu. 2007. Lifetime Financial Advice: Human Capital, Asset Allocation, and Insurance. Charlottesville, VA: Research Foundation of CFA Institute.