Titlebook: Information Security Practice and Experience; 18th International C Weizhi Meng,Zheng Yan,Vincenzo Piuri Conference proceedings 2023 The Edi

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,QR-SACP: Quantitative Risk-Based Situational Awareness Calculation and Projection Through Threat Inrent and near future situation in order to have the least consequences and costs. Making the appropriate and sufficient decisions requires knowing what situations the threat has engendered or may engender. In this paper, we propose a quantitative risk-based method called QR-SACP to calculate and pro

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,RTR-Shield: Early Detection of Ransomware Using Registry and Trap Files,ceal its presence or gather sensitive information of the victim system. For any detection model, it is crucial to restrain ransomware activity before it causes significant damage or spreads further throughout the system. In this regard, we propose . a novel rule based tool to detect and block crypto

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,MalXCap: A Method for Malware Capability Extraction,ted attacks employ complex and intelligent malware. Such malware integrates numerous malignant capabilities into a single complex form of malware, known as multipurpose malware. As attacks get more complicated, it is increasingly important to be aware of what the detected malware can do and comprehe

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,Multimodal Software Defect Severity Prediction Based on Sentiment Probability,roving software quality and maintaining software security. Therefore, this paper proposes a severity prediction on affective probabilistic multimodel software bugs. First, this paper uses RoBERTa as a sentiment analysis model and proposes a model training method for defective knowledge enhancement.

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,Recovering Multi-prime RSA Keys with Erasures and Errors,ithm has been further investigated in many studies. However, the noisy leakage models assumed in the existing work all fall short of reality, and the studies are all based on CRT-RSA only. In this study, we target Multi-Prime RSA, which is supported by PKCS#1 v2.1 and allows faster decryption than C

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,Performance Impact Analysis of Homomorphic Encryption: A Case Study Using Linear Regression as an Eeat the data in a trustworthy manner. One way of using the data in the cloud without the provider having access to it is homomorphic encryption. However, since this encryption has only recently become practicable, analysis of its for practical applications is still in its infancy. Therefore, we inve

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,Chosen Ciphertext Security for Blind Identity-Based Encryption with Certified Identities,phone numbers, as public keys. Due to this aspect, IBE can reduce the cost of maintaining public key infrastructure. However, it has a special issue called the “key escrow problem”, which means that the key generation center (KGC) can decrypt all ciphertexts and get all messages in them since it inh

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,A New Gadget Decomposition Algorithm with Less Noise Growth in HE Schemes,ommonly used in GSW-type homomorphic encryption schemes, like TFHE, to enable homomorphic multiplication on ciphertexts while controlling noise growth..In this paper, we propose a new decomposition algorithm that has lower noise growth compared to existing algorithms. Our work is inspired by Genise

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guage and harsh accusations, particularly on the American side, was accompanied by equally fervent proclamations of each country’s long and continued closeness to the other. This combination of two apparently opposite attitudes was maintained for months, from the run-up to the Iraq War to the G-8 me