PPT-Malware-Aware Processors: A Framework for Efficient Online Malware Detection

Author : tatyana-admore | Published Date : 2018-03-22

Meltem Ozsoy Caleb Donovick Iakov Gorelik Nael Abu Ghazaleh and Dmitry Ponomarev Binghamton University University of California Riverside HPCA 2015

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Malware-Aware Processors: A Framework fo..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Malware-Aware Processors: A Framework for Efficient Online Malware Detection: Transcript


Meltem Ozsoy Caleb Donovick Iakov Gorelik Nael Abu Ghazaleh and Dmitry Ponomarev Binghamton University University of California Riverside HPCA 2015 San Francisco CA. Scent-Aware Guidelines April 2004 McMaster University 2 substitutes. This will involve the review of Material Safety Data Sheets for commercial products currently used and those intended for use as MARS.MTC.SRI.COM. Motivation. Malware landscape is diverse and constant evolving. Large botnets. Diverse propagation vectors, exploits, C&C. Capabilities – backdoor, keylogging, rootkits,. Logic bombs, time-bombs. 2012 . IEEE/IPSJ 12. th. . International . Symposium on Applications and the . Internet. 102062596 . 陳盈妤. 1. /10. Outline. Introduction of proposed method. Previous works by catching random behavior. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. Connor Schnaith, Taiyo Sogawa. 9 April 2012. Motivation. “. 5. 000 . new. malware samples per day”. --David Perry of Trend Micro. Large variance between attacks. Polymorphic attacks . Perform the same function. SOC. IABLE. SOCIABLE. Addison Dunbrook. Tuan Tran. Mayuran K. Justin . Caravaggio. Kenneth Lo. Where: . AP-134. When:. April 10th 2014. Time:. . 11:00 . - . 2:00pm. Ad-Hoc / WiFi Direct. Delay Tolerant Networks. SOC. IABLE. SOCIABLE. Addison Dunbrook. Tuan Tran. Mayuran K. Justin . Caravaggio. Kenneth Lo. Where: . AP-134. When:. April 10th 2014. Time:. . 11:00 . - . 2:00pm. Ad-Hoc / WiFi Direct. Delay Tolerant Networks. Processing. Part . III. Example Applications. Martin Bokeloh. Niloy. . Mitra. Michael Wand . Hao. Zhang Daniel Cohen-Or Martin . Bokeloh. Part III - Overview. Shape deformation. Our Focus. Victim. Attacker. Malicious. Web. Exploit. browser. Phishing. Exploit. vulnerability. Code Repo. Database. Malware . propagation. Initial Compromise. Gaining Foothold. Lateral Movement. High Value Asset Acquisition. Suman Jana and Vitaly Shmatikov. The University of Texas at Austin. All about sophisticated detection and evasion techniques. Polymorphism, metamorphism, obfuscation… . Modern malware research. All about sophisticated detection and evasion techniques. Biomass Policies. Dr. Calliope . Panoutsou. Background & links with other initiatives. Biomass Futures . start date. Biomass Futures . work benchmarked with NREAPs info. BEE, CEUBIOM, EUWOOD, . Prepared by:. Ward Ching, Vice President, Risk Management Operations, Safeway, Inc.. Loren Nickel, FCAS, CFA, MAAA, Regional Director and Actuary, Aon Global Risk Consulting. RIMS Session ERM009. 2/8/2018. Introduction to Advanced Processors. 1. Outline . Features. Internal Architecture of 80286. Interrupts of . 80286. Signal Description of . 80286. Real And Protected Mode. Instruction set. 2/8/2018. Nael Abu-Ghazaleh. Joint work with Khaled . Khasawneh. , Dmitry . Ponomarev. and Lei Yu. Malware is Everywhere!. Malware is Everywhere!. Over 250,000 malware registered every day! . Hardware Malware Detectors (HMDs).

Download Document

Here is the link to download the presentation.
"Malware-Aware Processors: A Framework for Efficient Online Malware Detection"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents