نتایج جستجو برای: malicious

تعداد نتایج: 12653  

2007
Mortaza Kokabi

This paper present the design and function of magiran.com, a databse of periodicals published in Iran. It also attempts to answer the following questions: How many of the total periodicals published in Iran are covered by magiran? What is the subject coverage of the periodicals covered? Which subjects seem to have been given importance among the periodicals covered? How many of the periodicals ...

Nowadays, malicious URLs are the common threat to the businesses, social networks, net-banking etc. Existing approaches have focused on binary detection i.e. either the URL is malicious or benign. Very few literature is found which focused on the detection of malicious URLs and their attack types. Hence, it becomes necessary to know the attack type and adopt an effective countermeasure. This pa...

Journal: :Circulation 2008

Journal: :ACM Transactions on Privacy and Security 2019

There is no doubt that malicious programs are one of the permanent threats to computer systems. Malicious programs distract the normal process of computer systems to apply their roguish purposes. Meanwhile, there is also a type of malware known as the ransomware that limits victims to access their computer system either by encrypting the victimchr('39')s files or by locking the system. Despite ...

Journal: :Legal Studies 2018

Journal: :International Journal of Information and Computer Security 2022

In recent years, the damage cost caused by malwares is huge. Thus, malware detection a big challenge. The task of specifying takes huge amount time and engineering effort since it currently requires manual study malicious code. in order to avoid tedious analysis codes, this has be automatised. To aim, we propose work represent behaviours using extended API call graphs, where nodes correspond fu...

Journal: :Cyber Security dan Forensik Digital 2019

J. Hajian Nezhad M. Tayarani-N M. Vafaei Jahan Z. Sadrnezhad

Recent improvements in web standards and technologies enable the attackers to hide and obfuscate infectious codes with new methods and thus escaping the security filters. In this paper, we study the application of machine learning techniques in detecting malicious web pages. In order to detect malicious web pages, we propose and analyze a novel set of features including HTML, JavaScript (jQuery...

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