Results 21 to 30 of about 54,019 (262)
Type I Attack For Generative Models [PDF]
2020 IEEE International Conference on Image Processing (ICIP), 2020 Generative models are popular tools with a wide range of applications. Nevertheless, it is as vulnerable to adversarial samples as classifiers. The existing attack methods mainly focus on generating adversarial examples by adding imperceptible perturbations to input, which leads to wrong result.
Chengjin Sun +3 more
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Attack and Defence Modelling for Attacks via the Speech Interface
Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019 This paper presents a high-level model of attacks via a speech interface, and of defences against such attacks. Specifically, the paper provides a summary of different types of attacks, and of the defences available to counter them, within the framework of the OODA loop model.
Bispham, M, Agrafiotis, I, Goldsmith, M
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A Survey of MulVAL Extensions and Their Attack Scenarios Coverage
IEEE Access, 2023 Organizations employ various adversary models to assess the risk and potential impact of attacks on their networks. A popular method of visually representing cyber risks is the attack graph. Attack graphs represent vulnerabilities and actions an attacker
David Tayouri +3 more
doaj +1 more source
C-ITS Environment Modeling and Attack Modeling
CoRR, 2023 As technology advances, cities are evolving into smart cities, with the ability to process large amounts of data and the increasing complexity and diversification of various elements within urban areas. Among the core systems of a smart city is the Cooperative-Intelligent Transport Systems (C-ITS).
Jaewoong Choi +7 more
openaire +2 more sources
Frontiers in Computer ScienceAttack trees are a widely used method for threat modeling and analyzing cyber-attacks in organizational networks. Assessing the risk associated with each individual node of an attack tree is crucial for understanding the overall risk of the attack.
Atul Rana, Sachin Gupta, Bhoomi Gupta
doaj +1 more source
Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
Pediatric Blood &Cancer, EarlyView.ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source
Modeling Distributed Network Attacks with Constraints [PDF]
International Journal of Bio-Inspired Computation, 2011 NeMODe is a declarative system for computer network intrusion detection, providing a declarative domain specific language for describing network intrusion signatures which can span several network packets, by stating constraints over network packets, describing relations between several packets in a declarative and expressive way.
Pedro D. Salgueiro, Salvador Abreu
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita +5 more
wiley +1 more source
Research on attack scenario reconstruction method based on causal knowledge discovery
网络与信息安全学报, 2017 In order to discover the attack pattern from the distributed alert data and construct the attack scene,a method of finding the attack scene from the alert data generated by intrusion detection system was studied.Current research suffer from the problem ...
Di FAN +3 more
doaj +3 more sources