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Titlebook: Malware Detection; Mihai Christodorescu,Somesh Jha,Cliff Wang Conference proceedings 2007 Springer-Verlag US 2007 Binary software analysis

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發(fā)表于 2025-3-21 18:26:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Malware Detection
編輯Mihai Christodorescu,Somesh Jha,Cliff Wang
視頻videohttp://file.papertrans.cn/623/622009/622009.mp4
概述Cutting-edge behavior-based techniques to analyze & detect obfuscated malware.Analyzes current trends in malware activity online, including botnets and malicious code for profit.Proposes effective mod
叢書名稱Advances in Information Security
圖書封面Titlebook: Malware Detection;  Mihai Christodorescu,Somesh Jha,Cliff Wang Conference proceedings 2007 Springer-Verlag US 2007 Binary software analysis
描述.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..
出版日期Conference proceedings 2007
關(guān)鍵詞Binary software analysis; Cooperative detection; Detection; Information; Malware; Obfuscated and stealthy
版次1
doihttps://doi.org/10.1007/978-0-387-44599-1
isbn_softcover978-1-4419-4095-7
isbn_ebook978-0-387-44599-1Series ISSN 1568-2633 Series E-ISSN 2512-2193
issn_series 1568-2633
copyrightSpringer-Verlag US 2007
The information of publication is updating

書目名稱Malware Detection影響因子(影響力)




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書目名稱Malware Detection網(wǎng)絡(luò)公開度




書目名稱Malware Detection網(wǎng)絡(luò)公開度學科排名




書目名稱Malware Detection被引頻次




書目名稱Malware Detection被引頻次學科排名




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Conference proceedings 2007 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..
地板
發(fā)表于 2025-3-22 07:05:23 | 只看該作者
Static Disassembly and Code Analysishat deliver reliable results under such adverse circumstances. In this chapter, we introduce a disassemble technique that can deal with obfuscated binaries. Also, we introduce a static code analysis approach that can identify high-level semantic properties of code that are difficult to conceal.
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Sting: An End-to-End Self-Healing System for Defending against Internet Wormsonds [.],[.], and cause millions of dollars of damage [.]. Therefore, we need to develop effective mechanisms to protect vulnerable hosts from being compromised and allow them to continue providing critical services, even under aggressively spreading attacks on previously unknown vulnerabilities.
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A Next-Generation Platform for Analyzing Executables also supports a scripting language, as well as several kinds of sophisticated pattern-matching capabilities. These facilities provide a platform for the development of additional tools for analyzing the security properties of executables.
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An Inside Look at Botnetsecurity companies maintain detailed databases of this information, these are not openly available and we are not aware of any such open repository. In this chapter we begin the process of codifying the capabilities of malware by dissecting four widely-used Internet Relay Chat (IRC) botnet codebases.
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