Browsing Department of Computer Science and Engineering by Subject "Malware"
Now showing items 1-4 of 4
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ANALYSIS AND CATEGORIZATION OF DRIVE-BY DOWNLOAD MALWARE USING SANDBOXING AND YARA RULESET
(2019-05-08)With the increase in the usage of websites as the main source of information gathering, malicious activity especially drive-by download has exponentially increased. A drive-by download refers to unintentional download of ... -
CRYPTO RANSOMWARE ANALYSIS AND DETECTION USING PROCESS MONITOR
(2017-12-07)Ransomware is a faster growing threat that encrypts user’s files and locks the computer and holds the key required to decrypt the files for ransom. Over the past few years, the impact of ransomware has increased exponentially. ... -
Effective Crypto Ransomware Detection Using Hardware Performance Counters
(2019-05-16)Systems affected by malware in the past 10 years has risen from 29 million to 780 million, which tells us it is a rapidly growing threat. Viruses, ransomware, worms, backdoors, botnets, etc. all come under malware. Ransomware ... -
MALWARE EARLY-STAGE DETECTION USING MACHINE LEARNING ON HARDWARE PERFORMANCE COUNTERS
(2018-08-03)Systems affected by Malware in the past 10 years has risen from 29 million to 780 million, which tells us it’s a rapidly growing threat. Viruses, ransomware, worms, backdoors, botnets etc. all come under malware. Ransomware ...