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MR201402 effectiveness of unknown malware classification by logistic regression analysis
Technology MR201402 effectiveness of unknown malware classification by logistic regression analysis

1. FFRI,Inc. 1 Monthly Research Effectiveness of unknown malwaere classification by logistic regression analysis FFRI, Inc http://www.ffri.jp Ver 2.00.01 2. FFRI,Inc. •…

Malwise - An Effective and Efficient Classification System for Packed and Polymorphic Malware
Documents Malwise - An Effective and Efficient Classification System for Packed and Polymorphic Malware

IEEE TRANSACTIONS ON COMPUTERS1 Malwise – An Effective and Efficient Classification System for Packed and Polymorphic Malware Silvio Cesare, Student Member, IEEE, Yang…

Examining Malware with Python
Data & Analytics Examining Malware with Python

1. Examining Malware with Python Phil Roth Data Scientist at Endgame @mrphilroth 2. 3 Python tools for text classification can easily be adopted for malware classification.…

Malware clustering and classification Peng Li pengli@cs.unc.edu.
Documents Malware clustering and classification Peng Li [email protected].

Slide 1Malware clustering and classification Peng Li [email protected] Slide 2 UNC.edu 2 3 Papers  “Behavioral Classification”. T. Lee and J. J. Mody. In EICAR (European…

Network Security Essentials Fifth Edition by William Stallings Fifth Edition by William Stallings.
Documents Network Security Essentials Fifth Edition by William Stallings Fifth Edition by William Stallings.

Slide 1Network Security Essentials Fifth Edition by William Stallings Fifth Edition by William Stallings Slide 2 Chapter 10 Malicious Software Slide 3 Table 10.1 Terminology…

Lecture 13 Malicious Software
Documents Lecture 13 Malicious Software

Computer Security: Principles and Practice, 1/e Lecture 13 Malicious Software modified from slides of Lawrie Brown This chapter examines the wide spectrum of malware threats…

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