PPT-The Machine and the Kernel
Author : jane-oiler | Published Date : 2016-07-16
Mode space and context the basics Jeff Chase Duke University 64 bytes 3 ways p 0x0 0x1f 0x0 0x1f 0x1f 0x0 char p char p int p int p p char p char p Pointers addresses
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The Machine and the Kernel: Transcript
Mode space and context the basics Jeff Chase Duke University 64 bytes 3 ways p 0x0 0x1f 0x0 0x1f 0x1f 0x0 char p char p int p int p p char p char p Pointers addresses are 8 bytes on a 64bit machine. IK. November 2014. Instrument Kernel. 2. The Instrument Kernel serves as a repository for instrument specific information that may be useful within the SPICE context.. Always included:. Specifications for an instrument’s field-of-view (FOV) size, shape, and orientation. Debugging as Engineering. Much of your time in this course will be spent debugging. In industry, 50% of software dev is debugging. Even more for kernel development. How do you reduce time spent debugging?. Osck. Owen Hofmann, Alan Dunn, . Sangman. Kim, . Indrajit Roy*, Emmett Witchel. UT Austin. *HP Labs. Rootkits are dangerous. Adversary exploits insecure system. Leave backdoor . to facilitate long-term access. Steven C.H. Hoi, . Rong. Jin, . Peilin. Zhao, . Tianbao. Yang. Machine Learning (2013). Presented by Audrey Cheong. Electrical & Computer Engineering. MATH 6397: Data Mining. Background - Online. with Multiple Labels. Lei Tang. , . Jianhui. Chen and . Jieping. Ye. Kernel-based Methods. Kernel-based methods . Support Vector Machine (SVM). Kernel Linear Discriminate Analysis (KLDA). Demonstrate success in various domains. . Dr. M. . Asaduzzaman. . Professor. Department of Mathematics . University . of . Rajshahi. Rajshahi. -6205, Bangladesh. E-mail: md_asaduzzaman@hotmail.com. Definition. Let . H. be a Hilbert space comprising of complex valued . 0.2 0.4 0.6 0.8 1.0 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 kernel(b) kernel(c) kernel(d) (a)blurredimage(b)no-blurredimage0.900.981.001.021.10 (5.35,3.37)(4.80,3.19)(4.71,3.22)(4.93,3.23)(5.03,3.22 Attributed . Graphs . Yu Su. University of California at Santa Barbara. with . Fangqiu. Han, Richard E. . Harang. , and . Xifeng. Yan . Introduction. A Fast Kernel for Attributed Graphs. Graph Kernel. Presented by:. Nacer Khalil. Table of content. Introduction. Definition of robustness. Robust Kernel Density Estimation. Nonparametric . Contamination . Models. Scaled project Kernel Density Estimator. Syscall. Hijacking. Jeremy Fields. Intro. Ubuntu 14.04 in Hyper-V. Linux-lts-vivid-3.19.0-69. Compile vanilla kernel & load. Create basic module for learning. Kernel Module. Kernel Module . Let’s do some statistics on speed in kernel space vs user space. Jose C. . Principe. Computational . NeuroEngineering. . Laboratory (CNEL). University . of Florida. principe@cnel.ufl.edu. Acknowledgments. Dr. Weifeng Liu, Amazon. Dr. . Badong. Chen, . Tsinghua. University and Post Doc CNEL. David Ferry, Chris Gill. Department of Computer Science and Engineering. Washington University, St. Louis MO. davidferry@wustl.edu. 1. Traditional View of Process Execution. However, the kernel is not a traditional process!. Yue . Chen. 1. , . Yulong . Zhang. 2. , . Zhi. . Wang. 1. , . Liangzhao. . Xia. 2. , . Chenfu. . Bao. 2. , . Tao . Wei. 2. Florida State University. 1. Baidu X-Lab. 2. USENIX Security Symposium 2017. Process concept. A process is an OS abstraction for executing a program with limited privileges. Dual-mode operation: user vs. kernel. Kernel-mode: execute with complete privileges. User-mode: execute with fewer privileges.
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