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Rawat et al., 2021 - Google Patents

Use of Machine Learning Algorithms for Android App Malware Detection

Rawat et al., 2021

Document ID
11581420959665665935
Author
Rawat S
Phira R
Natu P
Publication year
Publication venue
2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT)

External Links

Snippet

Malware attacks in mobile phones have become more frequent with time. One of the most common ways to infect a phone system with malware is through apps that look benign but are actually malicious. Machine Learning has been employed in the past to detect malware …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
    • G06F21/562—Static detection
    • G06F21/563—Static detection by source code analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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