Results 171 to 180 of about 22,040,867 (216)

Malware Analysis

Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, 2016
Malicious code is a serious issue which regularly threatens the security of computer systems and act as a challenging task for cyber security& Information security personals. Malicious code is named differently according to their specification such as virus, worm, Trojan, Rootkit, spam etc.
Rakesh Singh Kunwar, Priyanka Sharma
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Creating a Malware Analysis Lab and Basic Malware Analysis [PDF]

, 2018
In tying together information learned in the Information Assurance program at Iowa State this paper goes over an introduction to malware, basic malware analysis, and setting up a manual malware analysis lab. Malware is malicious software that causes harm.
Peppers, Joseph
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Malware behaviour analysis

Journal in Computer Virology, 2007
Several malware analysis techniques suppose that the disassembled code of a piece of malware is available, which is however not always possible. This paper proposes a flexible and automated approach to extract malware behaviour by observing all the system function calls performed in a virtualized execution environment.
Gérard Wagener, Radu State, Alexandre Dulaunoy   +2 more
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Malware analysis

Malware is a major threat to computer systems and networks. Traditional malware detection methods, such as signature-based detection, are becoming –increasingly ineffective due to the ever-increasing sophistication of malware. Deep learning methods, such as convolutional neural networks (CNNs) and convolutional neural networks with long short-term ...
Meghana, V., Reddy, I. Pratham, Kumar, J. Revanth, Abhiram, B., Reddy, K. Nikhil, Anurag, Ch., Jyothirmayi, L.   +6 more
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An Assistive System for Android Malware Analysis to Increase Malware Analysis Efficiency

2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2017
After the comprehensive survey of existing malware analysis products in the market, the survey result has shown that an assistive tool is needed to help researchers to automatically predict an Android malware in a given large number of applications. Due to a large volume of Android applications being developed and distributed every day through third ...
Suyash Jadhav, Tae Tom Oh, Jaehoon (Paul) Jeong, Young Ho Kim, Jeong Neyo Kim   +4 more
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Android malware analysis and conceptual malware mitigation approaches

2016 International Conference on Information and Communication Technology Convergence (ICTC), 2016
Mobile devices have enjoyed unprecedented growth in the last decade. As devices become more ubiquitous and users place more sensitive data on their devices, the amount of mobile malware in the wild has grown. In order to protect mobile device users and their data, mobile security solutions have been brought to market for consumer and enterprise users ...
Tae (Tom) Oh, Hwa Shin Moon, Young Ho Kim, Jeong Neyo Kim, Bill Stackpole   +4 more
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Malware Slums: Measurement and Analysis of Malware on Traffic Exchanges

2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2016
Auto-surf and manual-surf traffic exchanges are an increasingly popular way of artificially generating website traffic. Previous research in this area has focused on the makeup, usage, and monetization of underground traffic exchanges. In this paper, we analyze the role of traffic exchanges as a vector for malware propagation.
Salman Yousaf, Umar Iqbal 0002, Shehroze Farooqi, Raza Ahmad, Muhammad Zubair Shafiq, Fareed Zaffar   +5 more
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Investigation and analysis of malware on websites

2010 12th IEEE International Symposium on Web Systems Evolution (WSE), 2010
We investigated the distribution of malware on websites by constructing web honeypots carrying vulnerable web applications. With the diffusion of web services caused by the appearance of a new architecture known as cloud computing, a large number of websites have been used by attackers as hopping sites to attack other websites and user terminals.
Takeshi Yagi, Naoto Tanimoto, Takeo Hariu, Mitsutaka Itoh   +3 more
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Analysis of Malware

2020
Many APT groups are best known for their professionally developed malware. Sure enough, backdoors and trojans play a central role in attacks. But they also contain a wealth of information that is useful for attribution. Therefore, this chapter looks at how malware is developed and employed, and how analysts find clues about the perpetrators.
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Malware attack and Malware Analysis : A Research

2019
Malware analysis is the manner of performing evaluation of the malware and knowledge its moves and conduct. It is of two types- static and dynamic evaluation. Static analysis is carried out by staring at the supply code of the malware and drawing conclusions primarily based on it. Dynamic analysis is the analysis achieved through executing the piece of
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