Malware PowerPoint Presentations - PPT

Malware Dynamic
Malware Dynamic - presentation

lindy-duni

Analysis. Part 4. Veronica Kovah. vkovah.ost. at . gmail. See notes for citation. 1. http://. opensecuritytraining.info. /. MalwareDynamicAnalysis.html. All . materials is licensed under . a Creative .

Part 4: Malware Functionality
Part 4: Malware Functionality - presentation

briana-ran

Chapter 11: Malware Behavior. Chapter 12: Covert Malware Launching. Chapter 13: Data Encoding. Chapter 14: Malware-focused Network Signatures. Chapter 11: Malware . Behavior. Common functionality. Downloaders.

Polymorphic Malware Detection
Polymorphic Malware Detection - presentation

giovanna-b

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.

Dissecting Android Malware : Characterization and Evolution
Dissecting Android Malware : Characterization and Evolution - presentation

liane-varn

Author : . Yajin. Zhou, . Xuxuan. Jiang. TJ. Index of this paper. Introduction. Malware Timeline. Malware Characterization. Malware Installation. Repackaging. Update Attack. Drive-by Download. Others.

Targeted Malware
Targeted Malware - presentation

lindy-duni

Sophisticated Criminals or . Babytown. Frolics?. Ryan Merritt. Josh Grunzweig. Who We Are. Josh Grunzweig. Security Researcher. Malware Reverser. Dabbles in Ruby. Homebrewer. Ryan Merritt. Security Researcher.

Malware Incident Response
Malware Incident Response - presentation

debby-jeon

Erdal Ozkaya . Raymond Comvalius. CISO . Infrastructure Architect. Emt. Holding . NEXTXPERT. Module Agenda. First response at a malware attack. Recognizing. malware. Identifying.

Environmental Authentication in Malware
Environmental Authentication in Malware - presentation

tatyana-ad

Jeremy . Blackthorne. , Benjamin Kaiser, . Benjamin Fuller. , and Bulent . Yener. Contribution. Malware changes behavior by observing environment to avoid analysis. Complementary technique to obfuscation.

Reverse Engineering Malware For
Reverse Engineering Malware For - presentation

lois-ondre

Newbies. A guide for those of you who want to break into the fun world of malware.. What We’re Going To Cover. Basic x86/64 ASM. Tools of the trade. Setting up an environment. Intro to the Debugger .

Networking & Malware
Networking & Malware - presentation

tatiana-do

CS 598: Network Security. Michael Rogers & Leena Winterrowd. March 26, 2013. Types of Malware. Image courtesy of prensa.pandasecurity.com. Types of Malware. Viruses 16,82%. Trojan horses. 69.99%.

Networking & Malware
Networking & Malware - presentation

calandra-b

CS 598: Network Security. Michael Rogers & Leena Winterrowd. March 26, 2013. Types of Malware. Image courtesy of prensa.pandasecurity.com. Types of Malware. Viruses 16,82%. Trojan horses. 69.99%.

Adversarial Evasion-Resilient Hardware Malware Detectors
Adversarial Evasion-Resilient Hardware Malware Detectors - presentation

calandra-b

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).

Malware Dr. Tyler Bletsch
Malware Dr. Tyler Bletsch - presentation

tatyana-ad

Based on slides from Computer Security: Principles and Practices by William Stallings and Lawrie Brown. CSC230: C and Software Tools © NC State University Computer Science Faculty. 1. Malware. [SOUP13] defines malware as:.

Reverse Engineering Malware For
Reverse Engineering Malware For - presentation

pamella-mo

Newbies. A guide for those of you who want to break into the fun world of malware.. What We’re Going To Cover. Basic x86/64 ASM. Tools of the trade. Setting up an environment. Intro to the Debugger .

Abusing File Processing in Malware Detectors for Fun and Pr
Abusing File Processing in Malware Detectors for Fun and Pr - presentation

lois-ondre

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.

Eureka: A Framework for Enabling Static Analysis on Malware
Eureka: A Framework for Enabling Static Analysis on Malware - presentation

karlyn-boh

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.

Malware-Aware Processors: A Framework for Efficient Online Malware Detection
Malware-Aware Processors: A Framework for Efficient Online M - presentation

tatyana-ad

Meltem Ozsoy. *. , Caleb . Donovick. *. , . Iakov. . Gorelik. *. ,. Nael. Abu-. Ghazaleh. **. and Dmitry . Ponomarev. *. *. Binghamton University, . **. University of California, Riverside. HPCA 2015 - San Francisco, CA.

Introduction to Mobile Malware
Introduction to Mobile Malware - presentation

sherrill-n

Outline. Introduction. Types . of Malware. Malware examples. How . Malware Spreads. Prevention. AndroRAT. Hands-on Lab. Introduction. Mobile Security has become a fast growing issue. Nearly 100,000 new malicious programs for mobile devices were detected in 2013 (Kaspersky Lab).

RiskRanker : Scalable and Accurate Zero-day Android Malware Detection
RiskRanker : Scalable and Accurate Zero-day Android Malware -

relylancom

Grace. M, Zhou. Y, . Shilong. . Z, Jiang. . X. RiskRanker. analyses the paths within an android application. Potentially malicious security risks are flagged for investigation. Summary. This application showcases how reverse engineering.

Using Malware Analysis to Identify Overlooked Security Requ
Using Malware Analysis to Identify Overlooked Security Requ - presentation

yoshiko-ma

Software Engineering Institute. Carnegie Mellon University. Pittsburgh, PA 15213. Nancy R. Mead. Copyright . 2017 . Carnegie Mellon University. This material is based upon work funded and supported by the Department of Defense under Contract No. FA8721-05-C-0003 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center..

Reviving Android Malware
Reviving Android Malware - presentation

alida-mead

with . DroidRide. : And How Not To. Min Huang, Kai Bu, . Hanlin. Wang, . Kaiwen. Zhu. Zhejiang University. CyberC. 2016. Reviving Android Malware. with . DroidRide. : And How Not To. ?. Reviving Android Malware.

Automated Malware Analysis
Automated Malware Analysis - presentation

phoebe-cli

A Look at Cuckoo Sandbox. Introduction. What is Malware?. (. mãl'wâr. ') - . Malicious . computer software that interferes with normal computer . functions. What is Automated Malware Analysis?. Taking what has been done by highly skilled professionals in extremely time consuming tasks and making it, quick, easy and repeatable. Automated Malware Analysis is being touted as the “Next Generation Anti-Virus” solution..

Automated Malware Analysis
Automated Malware Analysis - presentation

luanne-sto

A Look at Cuckoo Sandbox. Introduction. What is Malware?. (. mãl'wâr. ') - . Malicious . computer software that interferes with normal computer . functions. What is Automated Malware Analysis?. Taking what has been done by highly skilled professionals in extremely time consuming tasks and making it, quick, easy and repeatable. Automated Malware Analysis is being touted as the “Next Generation Anti-Virus” solution..

Web-Based Malware
Web-Based Malware - presentation

lindy-duni

Jason . Ganzhorn. 5-12-2010. 1. Background. A large number of transactions take place over the Internet. Shopping. Communication. Browse News. It’s likely that you perform some of these transactions as well..

Cross-Platform Malware contamination
Cross-Platform Malware contamination - presentation

lois-ondre

MSc Information Security . Project 2013/2014. Author: Nicholas . Aquilina. Supervisor: . Dr. Konstantinos . Markantonakis. Aims and . Objectives of Project. Understand and . analyse. . current malware strategies.

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