標(biāo)題: Titlebook: Advances in Artificial Intelligence and Security; 7th International Co Xingming Sun,Xiaorui Zhang,Elisa Bertino Conference proceedings 2021 [打印本頁(yè)] 作者: Wilson 時(shí)間: 2025-3-21 17:01
書目名稱Advances in Artificial Intelligence and Security影響因子(影響力)
書目名稱Advances in Artificial Intelligence and Security影響因子(影響力)學(xué)科排名
書目名稱Advances in Artificial Intelligence and Security網(wǎng)絡(luò)公開度
書目名稱Advances in Artificial Intelligence and Security網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Artificial Intelligence and Security被引頻次
書目名稱Advances in Artificial Intelligence and Security被引頻次學(xué)科排名
書目名稱Advances in Artificial Intelligence and Security年度引用
書目名稱Advances in Artificial Intelligence and Security年度引用學(xué)科排名
書目名稱Advances in Artificial Intelligence and Security讀者反饋
書目名稱Advances in Artificial Intelligence and Security讀者反饋學(xué)科排名
作者: Ventilator 時(shí)間: 2025-3-21 20:41 作者: GLUT 時(shí)間: 2025-3-22 03:21
Conference proceedings 2021lume proceedings was carefully reviewed and selected from 1013 submissions. The papers were organized in topical sections as follows:.Part I: artificial intelligence;.Part II: artificial intelligence; big data; cloud computing and security;?.Part III: cloud computing and security;?encryption and cybersecurity;?information hiding;?IoT security.?.作者: 整理 時(shí)間: 2025-3-22 06:20 作者: travail 時(shí)間: 2025-3-22 09:42
Conference proceedings 2021ce and Security, ICAIS 2021, which was held in Dublin, Ireland, in July 2021.?.The total of 131 full papers and 52 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1013 submissions. The papers were organized in topical sections as follows:.Part I: artifici作者: Excise 時(shí)間: 2025-3-22 13:18
1865-0929 : artificial intelligence;.Part II: artificial intelligence; big data; cloud computing and security;?.Part III: cloud computing and security;?encryption and cybersecurity;?information hiding;?IoT security.?.978-3-030-78620-5978-3-030-78621-2Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Hangar 時(shí)間: 2025-3-22 17:09 作者: 山間窄路 時(shí)間: 2025-3-23 00:53 作者: stressors 時(shí)間: 2025-3-23 01:23
Philippa D. Darbre,Roger J. B. King article uses the LLVM compilation platform to convert the OpenMP source code into LLVM intermediate code (IR) through Clang, statically and dynamically analyzes the IR, and then obtains the OpenMP performance model to predict the OpenMP execution time and optimal execution time. Based on the modeli作者: RAG 時(shí)間: 2025-3-23 08:46
https://doi.org/10.1007/978-981-19-0197-3m memory artificial neural network proposed in this paper. The results show that the prediction model based on CNN+LSTM is compared with only LSTM algorithm or only classification algorithm. It can improve prediction accuracy, reduce model training time, and is easier to apply in the actual work of 作者: Narrative 時(shí)間: 2025-3-23 10:52 作者: palette 時(shí)間: 2025-3-23 16:21 作者: 嚙齒動(dòng)物 時(shí)間: 2025-3-23 21:25
Niki J. Agnantis,Demetrios A. Spandidosting the API call information and the shellcode information. 2) Compared with traditional sandbox, it can supply a more realistic operating environment for malware, greatly reducing the possibility of being detected by malware. 3) Compared with previous work, it can obtain cleaner and more accurate 作者: 津貼 時(shí)間: 2025-3-24 01:10
S. L. Schor,A. M. Schor,A. Howell,J. Haggie we optimize the classifier with a fixed feature extractor during training to suppress the re-balancing effect on the backbone learned in the first stage. To assess the performance of the proposed approach, experiments are conducted on the BIG 2015 dataset. The experimental results demonstrate that 作者: Mettle 時(shí)間: 2025-3-24 04:56 作者: 巡回 時(shí)間: 2025-3-24 08:30 作者: Costume 時(shí)間: 2025-3-24 14:22 作者: 不感興趣 時(shí)間: 2025-3-24 16:25
https://doi.org/10.1007/978-0-387-71595-7ning algorithm is used to detect and classify the false data injection attack, and the state information of the attacked power system is identified by integrating multiple decision trees. A large number of experiments show that the method has good recognition performance in different IEEE node syste作者: 嫌惡 時(shí)間: 2025-3-24 20:32
Metastatic and Secondary Tumors,cy information, through which people often recognizes an object. The experiments show that the presented model suppresses the success rate of the attack in the face of the adversarial examples, and improves the model’s recognition success rate, comparing to some other methods.作者: 玷污 時(shí)間: 2025-3-25 00:48
Design and Implementation of Information Detection System Based on Privacy Sensitive Data978-3-658-05108-2作者: Dysarthria 時(shí)間: 2025-3-25 03:46
A Method of Network Attack Recognition Based on CNN+LSTM Model978-3-8348-8124-3作者: Lignans 時(shí)間: 2025-3-25 07:46
Recognition Method of Abnormal Data in Local Area Network Common Channel Based on Convolutional Neur978-3-658-07182-0作者: MUMP 時(shí)間: 2025-3-25 11:51
A Homomorphic Encryption Method for Power Data Based on Improved Paillier Algorithm978-3-663-06878-5作者: 松雞 時(shí)間: 2025-3-25 16:06 作者: 中止 時(shí)間: 2025-3-25 22:34
Performance Modeling of OpenMP Program Based on LLVM Compilation Platformhne Heizung ist im Winter nicht bezugsfertig. Die übergabe einer bezugsfertigen Wohnung schlie?t jedoch nicht aus, dass die Wohnung zu diesem Zeitpunkt noch wesentliche M?ngel aufweist. Zum Beispiel ist eine Wohnung bezugsfertig, wenn der Balkon noch nicht benutzbar ist, weil das Balkongel?nder noch作者: Chronic 時(shí)間: 2025-3-26 02:49
n erkl?rt die wichtigsten Instrumente digitaler Planung und erl?utert deren optimalen Einsatz. Zudem besch?ftigt er sich mit der Frage, warum klassische, analoge Medien trotz aller Digitalisierung nach wie vor so erfolgreich sind. In einer weiteren Vertiefung zeigt dieses Kapitel, wie insbesondere k作者: 說(shuō)不出 時(shí)間: 2025-3-26 08:07 作者: 方舟 時(shí)間: 2025-3-26 09:23
HNN-Based Prediction Method Supporting Discovery of Production Abnormal deutsche Gro?banken ist die globale Pr?senz eine Selbstverst?ndlichkeit. Deutsche Verm?gensverwalter investieren das Geld ihrer Kunden global. Investoren aus dem arabischen Raum investieren mit gro?er Selbstverst?ndlichkeit in Europa, etwa im Immobiliensektor. Investmentfonds spielen eine zentrale 作者: 憤憤不平 時(shí)間: 2025-3-26 16:42
A Review: How to Detect Malicious Domainsriert. Das zeigt, dass sich das moderne China in vielerlei Hinsicht (wieder) ver?ndert und dass alte Gewohnheiten nicht mehr akzeptiert werden. Qianan steht stellvertretend für die enormen Ver?nderungen, die in den letzten 20?Jahren in China stattgefunden haben.作者: Metamorphosis 時(shí)間: 2025-3-26 20:51 作者: 仲裁者 時(shí)間: 2025-3-27 00:42
VABox: A Virtualization-Based Analysis Framework of Virtualization-Obfuscated Packed Executableswie neueste wissenschaftliche Erkenntnisse aus dem Verkauf enth?lt. .Dieses Buch bietet spannende Erkenntnisse, um noch erfolgreicher zu überzeugen, sich noch besser auf Kunden und Gespr?chspartner einzustellen und mit den Techniken der besten Verk?ufer der Welt systematisch immer erfolgreicher zu werden! .?978-3-658-00832-1作者: aerobic 時(shí)間: 2025-3-27 02:14 作者: 拖債 時(shí)間: 2025-3-27 07:34 作者: Retrieval 時(shí)間: 2025-3-27 10:35 作者: Hla461 時(shí)間: 2025-3-27 17:35
Imbalance Malware Classification by Decoupling Representation and Classifieren..Aus dem Inhalt.15 Gründe, warum Pr?sentationen scheitern k?nnen.Die sechs entscheidenden Faktoren für erfolgreiche Pr?sentationen.So funktionieren Pr?sentationen vor Investoren, Gesch?ftspartnern und Kunden978-3-658-33457-4978-3-658-33458-1作者: 乞丐 時(shí)間: 2025-3-27 18:08
Efficient Forward and Backward Private Searchable Symmetric Encryption for Multiple Data Sources und es leitet uns durch das Leben. ?hnlich einer Akkuanzeige am Handy: auch dort ist es l?stig, wenn der Ladestand nur 7% betr?gt. Doch niemand würde auf die Idee kommen, einfach auf diese Ecke des Handydispla978-3-662-66433-9978-3-662-66434-6作者: Moderate 時(shí)間: 2025-3-27 23:01
Advances in Artificial Intelligence and Security978-3-030-78621-2Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Intrepid 時(shí)間: 2025-3-28 03:29
Kathryn B. Horwitz,William L. McGuire pneumonia epidemic situation and other public emergencies, analyzed the current public access to information channel characteristics, discussed the new situation of traditional media information dissemination challenges, and put forward some measures to enhance the transmission power, aimed at improving the effectiveness of journalism.作者: 熱情的我 時(shí)間: 2025-3-28 07:03 作者: Ruptured-Disk 時(shí)間: 2025-3-28 12:11 作者: Euthyroid 時(shí)間: 2025-3-28 15:26
https://doi.org/10.1007/978-981-19-0197-3identify network attacks has been one of the research hotspots in the field of network security protection in recent years. But they have some limitations, such as model parameters are difficult to optimize, and the prediction accuracy rate is low. Also, the characteristics of time series uncertaint作者: 滴注 時(shí)間: 2025-3-28 18:47
https://doi.org/10.1007/978-981-19-0197-3y, the convolutional network method is applied to data recognition, and the recognition method of the abnormal data in the local area network common channel based on the convolutional neural network is studied. First, the convolutional neural network structure is analyzed and the three main parts of作者: gerrymander 時(shí)間: 2025-3-29 02:08 作者: evasive 時(shí)間: 2025-3-29 03:47
Niki J. Agnantis,Demetrios A. Spandidoser of malware writers abuse various anti-reverse technologies to hide malware information. In order to protect these malwares, they usually use virtualization, obfuscation, packing, and anti-debugging techniques. These protections hinder the acquisition of malware information, making the reverse ana作者: 畫布 時(shí)間: 2025-3-29 09:13
S. L. Schor,A. M. Schor,A. Howell,J. Haggielly. Due to the growing malware variants, automatic detection and classification of malware samples is inevitable. A long-tailed distribution is one of the most common problems in malware dataset. However, existing general deep learning model is difficult to identify few-shot classes in the case of 作者: 肥料 時(shí)間: 2025-3-29 12:02 作者: Dysarthria 時(shí)間: 2025-3-29 16:55 作者: prolate 時(shí)間: 2025-3-29 22:45
Barbara Florentine,Juan C. Felix, it is always plagued by information leaks. Some recent researches have pointed out that forward and backward privacy which disallows leakage from update operations should be the basic requirement for a secure SSE scheme. However, most existing forward and backward private SSE schemes only consider作者: botany 時(shí)間: 2025-3-30 03:25 作者: venous-leak 時(shí)間: 2025-3-30 05:51 作者: 減至最低 時(shí)間: 2025-3-30 08:41 作者: athlete’s-foot 時(shí)間: 2025-3-30 15:00
Non-neoplastic and Proliferative Lesions, on blockchain that act as trusted intermediary between the users and are widely used in variety of industry (e.g., IoT, supply chain management). Smart contracts can store or manipulate valuable assets which may cause huge economic losses. Unlike traditional computer programs, the code of a smart c作者: pessimism 時(shí)間: 2025-3-30 18:39
https://doi.org/10.1007/978-0-387-71595-7er, voltage and topology information, which make the false data successfully bypass the residual check module. And they can be upload it to the control center to affect the control decision-making and endanger the normal operation of the power system. Firstly, this paper introduces the principle, at
