標(biāo)題: Titlebook: Data and Applications Security and Privacy XXXVIII; 38th Annual IFIP WG Anna Lisa Ferrara,Ram Krishnan Conference proceedings 2024 IFIP In [打印本頁(yè)] 作者: deduce 時(shí)間: 2025-3-21 19:52
書(shū)目名稱Data and Applications Security and Privacy XXXVIII影響因子(影響力)
書(shū)目名稱Data and Applications Security and Privacy XXXVIII影響因子(影響力)學(xué)科排名
書(shū)目名稱Data and Applications Security and Privacy XXXVIII網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Data and Applications Security and Privacy XXXVIII網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Data and Applications Security and Privacy XXXVIII被引頻次
書(shū)目名稱Data and Applications Security and Privacy XXXVIII被引頻次學(xué)科排名
書(shū)目名稱Data and Applications Security and Privacy XXXVIII年度引用
書(shū)目名稱Data and Applications Security and Privacy XXXVIII年度引用學(xué)科排名
書(shū)目名稱Data and Applications Security and Privacy XXXVIII讀者反饋
書(shū)目名稱Data and Applications Security and Privacy XXXVIII讀者反饋學(xué)科排名
作者: florid 時(shí)間: 2025-3-21 22:34
Citizen, Go West, Blue Helmet, Star Trek, Our findings show that we can identify the type of device with about . accuracy and determine the values sent by . devices, like temperature readings, with approximately . accuracy. To counter these vulnerabilities, we design a system that enhances data security for . solutions in the untrusted clo作者: Coronary 時(shí)間: 2025-3-22 03:28
https://doi.org/10.1007/978-3-642-56102-3aph, and (2) achieving query indistinguishability by concealing access patterns. Additionally, we conducted experimentation to evaluate the efficiency of the proposed schemes when dealing with real-world location navigation services.作者: Constant 時(shí)間: 2025-3-22 08:20
Selbstregulierung der Wirtschaftarn from the anonymized data. The basic idea of our approach is to perform the anonymization process on partitions produced by a decision tree driven by the target of the classification task. Each partition is then independently anonymized, to limit the impact of anonymization on the attributes and 作者: RADE 時(shí)間: 2025-3-22 11:06
https://doi.org/10.1007/978-3-642-45645-9rivacy and prevents misuse. The security properties of Visor are formally demonstrated; the system guarantees integrity and ensures that users remain anonymous during feedback, while also maintaining unlinkability among pseudonyms and reviews associated with the same user. Finally, the system provid作者: 使痛苦 時(shí)間: 2025-3-22 15:17 作者: 使痛苦 時(shí)間: 2025-3-22 20:35
https://doi.org/10.1007/978-3-322-92085-0ure, with the scenarios observing the EVSE in both idle and charging states. The results of statistical analysis and machine learning classification tasks demonstrate the suitability of this dataset for baseline behavioral profiling, classification and anomaly detection tasks.作者: CERE 時(shí)間: 2025-3-22 21:27
Searching for a Common Languageel cybersecurity framework which leverages active learning strategies in conjunction with an LLM. This approach dynamically selects the most informative instances for annotation, thereby achieving comparable performance with a significantly smaller dataset. By prioritizing the annotation of samples 作者: coagulate 時(shí)間: 2025-3-23 04:30
,?Mein Smartphone ist mein Schatz“, a particular task by adjusting the input data for the downstream task to fit the pretrained model. Comparative analyses between VulPrompt and other baseline methods demonstrate the model’s robust performance across all datasets tested, consistently achieving notable results. This success showcases 作者: 大都市 時(shí)間: 2025-3-23 06:41 作者: 火海 時(shí)間: 2025-3-23 09:54 作者: 不要不誠(chéng)實(shí) 時(shí)間: 2025-3-23 16:45 作者: 推遲 時(shí)間: 2025-3-23 21:05
DT-Anon: Decision Tree Target-Driven Anonymizationarn from the anonymized data. The basic idea of our approach is to perform the anonymization process on partitions produced by a decision tree driven by the target of the classification task. Each partition is then independently anonymized, to limit the impact of anonymization on the attributes and 作者: TAG 時(shí)間: 2025-3-24 00:45 作者: gregarious 時(shí)間: 2025-3-24 02:32 作者: 殺蟲(chóng)劑 時(shí)間: 2025-3-24 06:33 作者: SIT 時(shí)間: 2025-3-24 11:52
ALERT: A Framework for?Efficient Extraction of?Attack Techniques from?Cyber Threat Intelligence Repoel cybersecurity framework which leverages active learning strategies in conjunction with an LLM. This approach dynamically selects the most informative instances for annotation, thereby achieving comparable performance with a significantly smaller dataset. By prioritizing the annotation of samples 作者: 赦免 時(shí)間: 2025-3-24 18:29 作者: Presbyopia 時(shí)間: 2025-3-24 19:02 作者: 推遲 時(shí)間: 2025-3-25 01:22 作者: 商店街 時(shí)間: 2025-3-25 05:47 作者: restrain 時(shí)間: 2025-3-25 08:54 作者: Acetabulum 時(shí)間: 2025-3-25 12:35
Optimal Automated Generation of?Playbooksity. These playbooks are populated in an ontology that aims to be integrated with a SOAR to overcome the SOAR limitations. Using the Pareto Front, we aim to reduce the generated playbooks by an average of over 75%.作者: employor 時(shí)間: 2025-3-25 18:34
Peter A. Bruck,Zeger Karssen,Ansgar Zerfass As a result, enforcement and analyses of ABAC can be accomplished simply through graph queries. In particular, we demonstrate this using the Neo4j graph database and present the performance of executing enforcement and different analyses queries.作者: 橫條 時(shí)間: 2025-3-25 23:16 作者: Lament 時(shí)間: 2025-3-26 00:21 作者: 有花 時(shí)間: 2025-3-26 05:22
IAM Meets CTI: Make Identity and?Access Management Ready for?Cyber Threat Intelligencesms for a swift, easy-to-use, and faultless data transfer from IAM to SIEM. We contribute with a survey to identify ten central IAM findings relevant to CTI. We also evaluate their real-world feasibility by applying them within an anonymized data set of . and make our tools open-source.作者: 逗它小傻瓜 時(shí)間: 2025-3-26 09:19
0302-9743 39 submissions. The papers are organized in the following topical sections: access control; crypto application;?privacy; attack;?ml attack, vulnerability;?security user studies; and differential privacy..978-3-031-65171-7978-3-031-65172-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Cervical-Spine 時(shí)間: 2025-3-26 16:26 作者: 背書(shū) 時(shí)間: 2025-3-26 16:47
,J?ger, Bauern, E-Man: Heureka!,sis of over 400,000 real-world NFTs across 50 collections, which is easily applicable to existing bridges. The experimental results show the limitations of current implementations, and we offer insights to strengthen their functionality and foster the future growth of NFTs.作者: 令人心醉 時(shí)間: 2025-3-26 23:44
Im Sturmwind der Marktbeschleunigung,ity. These playbooks are populated in an ontology that aims to be integrated with a SOAR to overcome the SOAR limitations. Using the Pareto Front, we aim to reduce the generated playbooks by an average of over 75%.作者: 膝蓋 時(shí)間: 2025-3-27 03:50 作者: Libido 時(shí)間: 2025-3-27 06:07 作者: Angioplasty 時(shí)間: 2025-3-27 13:10 作者: apropos 時(shí)間: 2025-3-27 14:40
IAM Meets CTI: Make Identity and?Access Management Ready for?Cyber Threat Intelligenceegulatory compliance is often a driving factor for such systems, they also serve as an essential security gate fortifying the defense against cyber attacks. However, when analyzing suspected or actual attacks, Security Information and Event Management (SIEM) systems and Cyber Threat Intelligence (CT作者: 正式通知 時(shí)間: 2025-3-27 18:17 作者: Ingredient 時(shí)間: 2025-3-27 22:42 作者: 不易燃 時(shí)間: 2025-3-28 02:19
Towards Atomicity and?Composability in?Cross-Chain NFTshallenges in cross-chain NFT transfers, particularly on interoperability between siloed blockchains. We develop a methodology and propose a Greed Factor to prioritize various hashing methods for detecting duplicates. Our practical approach marks an advancement over existing methods by using an analy作者: clarify 時(shí)間: 2025-3-28 08:37 作者: 到婚嫁年齡 時(shí)間: 2025-3-28 13:22
DT-Anon: Decision Tree Target-Driven Anonymization, however, contain information that is sensitive or that should be protected (e.g., since it exposes identities of the data subjects) and cannot simply be freely shared and used for analysis. Business rules, restrictions from individuals (data subjects to which data refer), as well as privacy regula作者: 入會(huì) 時(shí)間: 2025-3-28 18:19
Visor: Privacy-Preserving Reputation for?Decentralized Marketplacestation, built through collective feedback, impacts vendor trustworthiness and support. However, centralized systems like eBay and Amazon pose privacy concerns as users must trust the central server to maintain accurate records and protect sensitive data. Decentralized solutions offer greater privacy作者: 關(guān)節(jié)炎 時(shí)間: 2025-3-28 19:53 作者: 妨礙 時(shí)間: 2025-3-28 23:20 作者: reflection 時(shí)間: 2025-3-29 05:02
Optimal Automated Generation of?Playbooksation, and Response (SOAR) tools to automate Incident Response (IR). However, it is challenging to integrate these tools, often delaying expected Return on Investment (ROI). Our approach aims to automatically generate optimal playbooks using the Pareto front, which balances impact, loss, and complex作者: malapropism 時(shí)間: 2025-3-29 07:34
ALERT: A Framework for?Efficient Extraction of?Attack Techniques from?Cyber Threat Intelligence Repoats. Cyber Threat Intelligence (CTI) reports offer valuable insights into adversary behavior, but their length, complexity, and inconsistent structure pose challenges for extracting actionable information. To address this, our research focuses on automating the extraction of attack techniques from C作者: callous 時(shí)間: 2025-3-29 12:27
VulPrompt: Prompt-Based Vulnerability Detection Using Few-Shot Graph Learningshot learning framework. Rather than adopting the . paradigm typical of prior works, it is the first to adopt the more recent . paradigm in this domain, which affords the creation of a smaller, lightweight model that outperforms larger models within other baseline methods. Evaluations conducted in a作者: superfluous 時(shí)間: 2025-3-29 17:32 作者: 粗糙濫制 時(shí)間: 2025-3-29 22:24
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/284456.jpg作者: Ornithologist 時(shí)間: 2025-3-29 23:56
Peter A. Bruck,Zeger Karssen,Ansgar Zerfasssions to be allocated based on attributes of subjects, objects, and the environment. This paper introduces a graph model for ABAC, named .. The . leverages directional flow capacities to enforce access control policies, mapping the potential pathways between a subject and an object to ascertain acce作者: PTCA635 時(shí)間: 2025-3-30 05:52 作者: Spangle 時(shí)間: 2025-3-30 11:10
E-Energy aus Sicht der Regulierung,egulatory compliance is often a driving factor for such systems, they also serve as an essential security gate fortifying the defense against cyber attacks. However, when analyzing suspected or actual attacks, Security Information and Event Management (SIEM) systems and Cyber Threat Intelligence (CT作者: Nonthreatening 時(shí)間: 2025-3-30 13:00
Atsushi Koshio,Masanori Akiyamamerges as one of the predominant techniques employed in bolstering database security. Alongside encryption, shuffling also offers a viable approach to fortify the security of database. However, both encryption and shuffling requires huge amounts of system I/O requests which bring performance burden 作者: Ancillary 時(shí)間: 2025-3-30 18:01 作者: 忘恩負(fù)義的人 時(shí)間: 2025-3-30 23:56 作者: ALE 時(shí)間: 2025-3-31 04:30
https://doi.org/10.1007/978-3-642-56102-3g navigation systems, network topology, and social networks, the need to safeguard sensitive data becomes paramount. Existing graph encryption methods, however, exhibit vulnerabilities by inadvertently revealing aspects of the graph structure and query patterns, posing threats to security and privac
