scholarly journals Anomalous Payload-Based Worm Detection and Signature Generation

2006 ◽  
pp. 227-246 ◽  
Author(s):  
Ke Wang ◽  
Gabriela Cretu ◽  
Salvatore J. Stolfo
Keyword(s):  
Worm Detection ◽  
Signature Generation

SAS: semantics aware signature generation for polymorphic worm detection

2011 ◽  
Vol 10 (5) ◽  
pp. 269-283 ◽  
Author(s):  
Deguang Kong ◽  
Yoon-Chan Jhi ◽  
Tao Gong ◽  
Sencun Zhu ◽  
Peng Liu ◽  
...  
Keyword(s):  
Worm Detection ◽  
Signature Generation

A survey of internet worm detection and containment

2008 ◽  
Vol 10 (1) ◽  
pp. 20-35 ◽  
Author(s):  
Pele Li ◽  
Mehdi Salour ◽  
Xiao Su
Keyword(s):  
Worm Detection ◽  
Internet Worm

Radar signature generation for feature-aided tracking research

2005 ◽  
Author(s):  
Teri L. Piatt ◽  
John U. Sherwood ◽  
Stanton H. Musick
Keyword(s):  
Radar Signature ◽  
Signature Generation

Integrated Power Signature Generation Circuit for IoT Abnormality Detection

2022 ◽  
Vol 18 (1) ◽  
pp. 1-13
Author(s):  
David Thompson ◽  
Haibo Wang
Keyword(s):  
Cmos Technology ◽  
Wireless Transmission ◽  
Wireless Sensor ◽  
Voltage Regulators ◽  
Measurement Equipment ◽  
Data Sampling ◽  
Abnormality Detection ◽  
Operation Conditions ◽  
Signature Generation ◽  
Iot Devices

This work presents a methodology to monitor the power signature of IoT devices for detecting operation abnormality. It does not require bulky measurement equipment thanks to the proposed power signature generation circuit which can be integrated into LDO voltage regulators. The proposed circuit is implemented using a 130 nm CMOS technology and simulated with power trace measured from a wireless sensor. It shows the generated power signature accurately reflects the power consumption and can be used to distinguish different operation conditions, such as wireless transmission levels, data sampling rates and microcontroller UART communications.

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