Results 161 to 170 of about 22,040,867 (216)
Metadata driven malicious URL detection using RoBERTa large and multi source network threat intelligence. [PDF]
Sci RepChen L, Meng L.
europepmc +1 more source
BERT-spaCy hybrid NLP and blockchain-enhanced adaptive CTI for IOC extraction and threat prediction. [PDF]
Sci RepMishra S, Alfahidah RA, Alharbi F.
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Cyberattacks in supply chains: A multi-case study. [PDF]
PLoS OneZhang X, Ba X, Li B.
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A metaheuristic feature selection model using bat optimization for malicious URL attack detection. [PDF]
Sci RepAlmomani O +6 more
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, 2018 Traditionally, techniques for computing on encrypted data have been proposed with privacy preserving applications in mind. Several current cryptosystems support a homomorphic operation, allowing simple computations to be performed using encrypted values. This is sufficient to realize several useful applications, including schemes for electronic voting [
John Bethencourt +2 more
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The rise of “malware”: Bibliometric analysis of malware study
Journal of Network and Computer Applications, 2016Ahmad Firdaus +2 more
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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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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, 2013Malware 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 Collection and Analysis
2017 IEEE International Conference on Information Reuse and Integration (IRI), 2017This 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 +1 more
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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 +3 more
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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 +3 more
openaire +3 more sources