Dawn Song – författare

Visar alla böcker från författaren Dawn Song. Handla med fri frakt och snabb leverans.

5 produkter

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5 produkter

Malware Detection
AvMihai Christodorescu,Somesh Jham. fl.
Inbunden, Engelska, 2006
3 379 kr
Skickas inom 10-15 vardagar
Shared resources, such as the Internet, have created a highly interconnected cyber-infrastructure. Critical infrastructures in domains such as medical, power, telecommunications, and finance are highly dependent on information systems. These two factors have exposed our critical infrastructures to malicious attacks and accidental failures. Many malicious attacks are achieved by malicious code or malware, such as viruses and worms. Given the deleterious affects of malware on our cyber infrastructure, identifying malicious programs is an important goal. Unfortunately, malware detectors have not kept pace with the evasion techniques commonly used by hackers, i.e., the good guys are falling behind in the arms race.Malware Detection captures the state of the art research in the area of malicious code detection, prevention and mitigation.
Malware Detection
AvCliff Wang,Dawn Songm. fl.
E-bok
PDF, Engelska, 2007
4 054 kr
Läs direkt efter köp
Shared resources, such as the Internet, have created a highly interconnected cyber-infrastructure. Critical infrastructures in domains such as medical, power, telecommunications, and finance are highly dependent on information systems. These two factors have exposed our critical infrastructures to malicious attacks and accidental failures. Many malicious attacks are achieved by malicious code or malware, such as viruses and worms. Given the deleterious affects of malware on our cyber infrastructure, identifying malicious programs is an important goal. Unfortunately, malware detectors have not kept pace with the evasion techniques commonly used by hackers, i.e., the good guys are falling behind in the arms race.
Malware Detection captures the state of the art research in the area of malicious code detection, prevention and mitigation.
Del 27 - Advances in Information Security
Malware Detection
AvMihai Christodorescu,Somesh Jham. fl.
Häftad, Engelska, 2010
3 299 kr
Skickas inom 5-8 vardagar
Shared resources, such as the Internet, have created a highly interconnected cyber-infrastructure. Critical infrastructures in domains such as medical, power, telecommunications, and finance are highly dependent on information systems. These two factors have exposed our critical infrastructures to malicious attacks and accidental failures. Many malicious attacks are achieved by malicious code or malware, such as viruses and worms. Given the deleterious affects of malware on our cyber infrastructure, identifying malicious programs is an important goal. Unfortunately, malware detectors have not kept pace with the evasion techniques commonly used by hackers, i.e., the good guys are falling behind in the arms race.Malware Detection captures the state of the art research in the area of malicious code detection, prevention and mitigation.
Automatic Malware Analysis
An Emulator Based Approach
AvHeng Yin,Dawn Song
Häftad, Engelska, 2012
569 kr
Skickas inom 10-15 vardagar
Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems. Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms.
Automatic Malware Analysis
An Emulator Based Approach
AvDawn Song,Heng Yin
E-bok
PDF, Engelska, 2012
732 kr
Läs direkt efter köp
Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems.
Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms.

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Dawn Song – författare

Malware Detection

Malware Detection

Malware Detection

Automatic Malware Analysis

Automatic Malware Analysis

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