Results 11 to 20 of about 3,091 (218)
Applied Sciences, 2022 Encryption is widely used to ensure the security and confidentiality of information. Because people trust in encryption technology, a series of attack methods based on certificates have been derived.
Jingru Liu +3 more
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Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation
IEEE Access, 2023 Malicious JavaScript code in web applications poses a significant threat as cyber attackers exploit it to perform various malicious activities. Detecting these malicious scripts is challenging, given their diverse nature and the continuous evolution of ...
Muhammad Fakhrur Rozi +6 more
doaj +1 more source
CoRR, 2023 Federated Learning (FL) offers collaborative model training without data sharing but is vulnerable to backdoor attacks, where poisoned model weights lead to compromised system integrity. Existing countermeasures, primarily based on anomaly detection, are prone to erroneous rejections of normal weights while accepting poisoned ones, largely due to ...
Yu, Hao +7 more
openaire +2 more sources
Dynamic defense decision method for network real-time confrontation
网络与信息安全学报, 2019 How to implement defense decision based on network external threat is the core problem of building network information defense system.Especially for the dynamic threat brought by real-time attack,scientific and effective defense decision is the key to ...
Qiang LENG +5 more
doaj +3 more sources
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?
CoRR, 2023 Graph neural networks (GNNs) have shown promising results on real-life datasets and applications, including healthcare, finance, and education. However, recent studies have shown that GNNs are highly vulnerable to attacks such as membership inference attack and link reconstruction attack.
Iyiola E. Olatunji +3 more
openaire +2 more sources
Applied Sciences, 2023 Telecommuting and telelearning have gradually become mainstream lifestyles in the post-epidemic era. The extensive interconnection of massive terminals gives attackers more opportunities, which brings more significant challenges to network traffic ...
Guoqiang Ren, Guang Cheng, Nan Fu
doaj +1 more source
Cybersecurity, 2023 It is not uncommon for malicious sellers to collude with fake reviewers (also called spammers) to write fake reviews for multiple products to either demote competitors or promote their products’ reputations, forming a gray industry chain.
Qi Zhang +4 more
doaj +1 more source
Complex Attack Linkage Decision-Making in Edge Computing Networks
IEEE Access, 2019 The edge computing network refers to a new paradigm of edge-side big data computing networks, which integrates networks, computing, storage, and business core capabilities. It is close to users, the Internet of Things (IoT), or data source side. The edge
Qianmu Li +4 more
doaj +1 more source
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics
IEEE Access, 2020 The sheer volume of IoT networks being deployed today presents a major “attack surface” and poses significant security risks at a scale never encountered before.
Sai Manoj Pudukotai Dinakarrao +7 more
doaj +1 more source
Attacks on Node Attributes in Graph Neural Networks
CoRRGraphs are commonly used to model complex networks prevalent in modern social media and literacy applications. Our research investigates the vulnerability of these graphs through the application of feature based adversarial attacks, focusing on both decision time attacks and poisoning attacks.
Ying Xu +3 more
openaire +2 more sources