Malware Analysis Using Artificial Intelligence and Deep Learning

This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Stamp, Mark, Alazab, Mamoun, Shalaginov, Andrii
Format: Buch
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Stamp, Mark
Alazab, Mamoun
Shalaginov, Andrii
description This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed.This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.
doi_str_mv 10.1007/978-3-030-62582-5
format Book
fullrecord <record><control><sourceid>proquest_askew</sourceid><recordid>TN_cdi_askewsholts_vlebooks_9783030625825</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC6432053</sourcerecordid><originalsourceid>FETCH-LOGICAL-a18185-24c106131d7592b06fe98d1973ed17c6b79107c569fee38795fb98c3b1c5a13e3</originalsourceid><addsrcrecordid>eNpVkEtPwzAQhI0QCCj9AdxyQxxM_YhfN0opUKmIC3C1HGdTQq2kxIGKf4_bcEF7WO3om9VoELqg5JoSoiZGacwx4QRLJjTD4gCNk8aTshfE4b-b6mN0RhnTMteEyxM0jvGDEMLyNISdopsnF7aug2zauPAT65i9xrpZZdOur6va1y5ki6aHEOoVNB4y15TZHcAmW4LrmkSeo6PKhQjjvz1Cb_fzl9kjXj4_LGbTJXY0pRCY5Z4SSTktlTCsILICo0tqFIeSKi8LZShRXkhTAXCtjKgKoz0vqBeOcuAjdDU8dnEN2_jehj7a7wBF266j_ddBYicDGzddygidHShK7K7FHW25TbzdG-zOcTk4Nl37-QWxt_vHHpq-c8HOb2cy54wIzn8BVDZsNA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC6432053</pqid></control><display><type>book</type><title>Malware Analysis Using Artificial Intelligence and Deep Learning</title><source>Springer Books</source><creator>Stamp, Mark ; Alazab, Mamoun ; Shalaginov, Andrii</creator><contributor>Stamp, Mark ; Alazab, Mamoun ; Shalaginov, Andrii</contributor><creatorcontrib>Stamp, Mark ; Alazab, Mamoun ; Shalaginov, Andrii ; Stamp, Mark ; Alazab, Mamoun ; Shalaginov, Andrii</creatorcontrib><description>This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed.This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.</description><edition>1st Edition 2021</edition><identifier>ISBN: 9783030625818</identifier><identifier>ISBN: 3030625818</identifier><identifier>EISBN: 9783030625825</identifier><identifier>EISBN: 3030625826</identifier><identifier>DOI: 10.1007/978-3-030-62582-5</identifier><identifier>OCLC: 1228648036</identifier><language>eng</language><publisher>Cham: Springer International Publishing AG</publisher><subject>Artificial intelligence ; Computational Intelligence ; Computer Crime ; Computer Science ; Machine Learning ; Security Services</subject><creationdate>2020</creationdate><tpages>655</tpages><format>655</format><rights>The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a18185-24c106131d7592b06fe98d1973ed17c6b79107c569fee38795fb98c3b1c5a13e3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://media.springernature.com/w306/springer-static/cover-hires/book/978-3-030-62582-5</thumbnail><linktohtml>$$Uhttps://link.springer.com/10.1007/978-3-030-62582-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>306,776,780,782,27902,38232,42487</link.rule.ids></links><search><contributor>Stamp, Mark</contributor><contributor>Alazab, Mamoun</contributor><contributor>Shalaginov, Andrii</contributor><creatorcontrib>Stamp, Mark</creatorcontrib><creatorcontrib>Alazab, Mamoun</creatorcontrib><creatorcontrib>Shalaginov, Andrii</creatorcontrib><title>Malware Analysis Using Artificial Intelligence and Deep Learning</title><description>This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed.This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.</description><subject>Artificial intelligence</subject><subject>Computational Intelligence</subject><subject>Computer Crime</subject><subject>Computer Science</subject><subject>Machine Learning</subject><subject>Security Services</subject><isbn>9783030625818</isbn><isbn>3030625818</isbn><isbn>9783030625825</isbn><isbn>3030625826</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2020</creationdate><recordtype>book</recordtype><sourceid/><recordid>eNpVkEtPwzAQhI0QCCj9AdxyQxxM_YhfN0opUKmIC3C1HGdTQq2kxIGKf4_bcEF7WO3om9VoELqg5JoSoiZGacwx4QRLJjTD4gCNk8aTshfE4b-b6mN0RhnTMteEyxM0jvGDEMLyNISdopsnF7aug2zauPAT65i9xrpZZdOur6va1y5ki6aHEOoVNB4y15TZHcAmW4LrmkSeo6PKhQjjvz1Cb_fzl9kjXj4_LGbTJXY0pRCY5Z4SSTktlTCsILICo0tqFIeSKi8LZShRXkhTAXCtjKgKoz0vqBeOcuAjdDU8dnEN2_jehj7a7wBF266j_ddBYicDGzddygidHShK7K7FHW25TbzdG-zOcTk4Nl37-QWxt_vHHpq-c8HOb2cy54wIzn8BVDZsNA</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Stamp, Mark</creator><creator>Alazab, Mamoun</creator><creator>Shalaginov, Andrii</creator><general>Springer International Publishing AG</general><general>Springer International Publishing</general><scope/></search><sort><creationdate>2020</creationdate><title>Malware Analysis Using Artificial Intelligence and Deep Learning</title><author>Stamp, Mark ; Alazab, Mamoun ; Shalaginov, Andrii</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a18185-24c106131d7592b06fe98d1973ed17c6b79107c569fee38795fb98c3b1c5a13e3</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Artificial intelligence</topic><topic>Computational Intelligence</topic><topic>Computer Crime</topic><topic>Computer Science</topic><topic>Machine Learning</topic><topic>Security Services</topic><toplevel>online_resources</toplevel><creatorcontrib>Stamp, Mark</creatorcontrib><creatorcontrib>Alazab, Mamoun</creatorcontrib><creatorcontrib>Shalaginov, Andrii</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stamp, Mark</au><au>Alazab, Mamoun</au><au>Shalaginov, Andrii</au><au>Stamp, Mark</au><au>Alazab, Mamoun</au><au>Shalaginov, Andrii</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Malware Analysis Using Artificial Intelligence and Deep Learning</btitle><date>2020</date><risdate>2020</risdate><isbn>9783030625818</isbn><isbn>3030625818</isbn><eisbn>9783030625825</eisbn><eisbn>3030625826</eisbn><abstract>This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed.This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.</abstract><cop>Cham</cop><pub>Springer International Publishing AG</pub><doi>10.1007/978-3-030-62582-5</doi><oclcid>1228648036</oclcid><tpages>655</tpages><edition>1st Edition 2021</edition></addata></record>
fulltext fulltext
identifier ISBN: 9783030625818
ispartof
issn
language eng
recordid cdi_askewsholts_vlebooks_9783030625825
source Springer Books
subjects Artificial intelligence
Computational Intelligence
Computer Crime
Computer Science
Machine Learning
Security Services
title Malware Analysis Using Artificial Intelligence and Deep Learning
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T22%3A08%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_askew&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=Malware%20Analysis%20Using%20Artificial%20Intelligence%20and%20Deep%20Learning&rft.au=Stamp,%20Mark&rft.date=2020&rft.isbn=9783030625818&rft.isbn_list=3030625818&rft_id=info:doi/10.1007/978-3-030-62582-5&rft_dat=%3Cproquest_askew%3EEBC6432053%3C/proquest_askew%3E%3Curl%3E%3C/url%3E&rft.eisbn=9783030625825&rft.eisbn_list=3030625826&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC6432053&rft_id=info:pmid/&rfr_iscdi=true