Results 181 to 190 of about 11,113 (232)

IoT Malware Analysis

2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), 2019
IoT devices can be used to fulfil many of our daily tasks. IoT could be wearable devices, home appliances, or even light bulbs. With the introduction of this new technology, however, vulnerabilities are being introduced and can be leveraged or exploited by malicious users. One common vehicle of exploitation is malicious software, or malware.
Victor Clincy, Hossain Shahriar
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An Ontology for Malware Analysis

2013 International Conference on Availability, Reliability and Security, 2013
Malware analysis is an information security field that needs a more scientific basis for communicating requirements, hiring, training, and retaining staff, building training curricula, and sharing information among analysis teams. Our group is building an OWL-based malware analysis ontology to provide that more scientific approach.
David A. Mundie, David M. McIntire
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Malware Analysis

2022
The number of malware is constantly growing. Better detection techniques need to be developed to keep detection times as short as possible and to reduce the cost of malware attacks. Malicious programs use a variety of techniques to avoid detection. Each technique has been developed as a countermeasure to a particular method of detection.
Kiperberg, Michael, Resh, Amit, Zaidenberg, Nezer   +3 more
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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 Collection and Analysis

2017 IEEE International Conference on Information Reuse and Integration (IRI), 2017
This paper describes the various malware datasets that we have obtained permissions to host at the University of Arizona as part of a National Science Foundation funded project. It also describes some other malware datasets that we are in the process of obtaining permissions to host at the University of Arizona.
Ramkumar Paranthaman, Bhavani Thuraisingham   +1 more
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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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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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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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