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Cybersecurity
Scopus
ISSN 2523-3246 · SpringerOpen · 614 articles in the index
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Journal Article
Privacy-preserving task assignment in mobile crowdsensing: a bilateral location fingerprint-based approach
Abstract Mobile crowdsensing (MCS) leverages the multi-sensory capabilities of mobile devices to collect diverse data efficiently. However, in MCS, inefficient task assignment strategies seriously affect the overall effectiveness, while efficient task assignment frequently requires the collection…
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Journal Article
Feature reduction in federated learning for intrusion detection in IoT networks
Abstract The rapid growth of the Internet of Things (IoT) has significantly increased the complexity of device interactions, making IoT networks more vulnerable to sophisticated cyber threats. Effective intrusion detection is therefore crucial to ensuring the security and resilience of these…
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Journal Article
Darkness at dawn: understanding illicit websites in newly registered domain names
Abstract Illicit website represents a significant challenge on the Internet. Miscreants exploit the inherent flexibility and invisibility of the Internet to promote illicit activities, particularly online gambling and pornography, intending to generate substantial profits. Previous studies have…
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Journal Article
CTI-Thinker: an LLM-driven system for CTI knowledge graph construction and attack reasoning
Abstract With the increasing frequency of APT attacks, cyber defense urgently demands high-quality threat intelligence support. Cyber threat intelligence (CTI) knowledge graphs have demonstrated significant potential in aiding threat detection and behavioral reasoning. However, existing CTI data…
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Journal Article
Investigating red packet fraud in android applications: insights from user reviews
Abstract With the popularization of smartphones, red packets have been widely used in mobile apps. However, the issues of fraud associated with them have also become increasingly prominent. As reported in user reviews from mobile app markets, many users have complained about experiencing red packet…
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Journal Article
Low-visibility adversarial sample generation method based on human visual perception
Abstract With deep learning now widely applied in visual perception tasks, the question of how to enhance adversarial stealth and effectiveness while addressing the sensitivity of the human visual system has become urgent. In response to the limitations of traditional $${L_p}$$ L p norm based…
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Journal Article
Improved search models of boomerang distinguishers and application to LILLIPUT
Abstract Boomerang attack serves as a potent cryptanalytic tool for assessing the security of block ciphers. Over the past few years, various automatic search models for boomerang distinguishers have been proposed for block ciphers with different structures. This paper presents improved…
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Journal Article
A newly image encryption scheme based on 3-D coupled map lattice and Baker map
Abstract Recently, image encryption is becoming increasingly important, many chaotic models have been prevalently used to design kinds of cryptographic schemes in chaos cryptography. Among those models, coupled map lattice (CML), as a classics spatiotemporal chaotic model with good performance, is…
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Journal Article
Ats-dta: adaptive two-stage DDoS detection with dynamic threshold adjustment in SDN networks
Abstract Software-Defined Networking (SDN), as a new network architecture, has brought convenience, but also suffered from the threat of Distributed Denial of Service (DDoS) attack. However, most existing DDoS attack detection schemes for SDN employ only a single detection method, leading to…
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Journal Article
Program-plate: a method for identifying the ability to extract vulnerability features
Abstract Although there are numerous advanced and well-established models and methods available for code auditing tasks, their interpretability remains a significant challenge. For machine learning models designed to address code auditing problems, we often know that they can identify vulnerable…
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Journal Article
SIP-DDoS framework based on federated learning for collaborative anomaly detection
Abstract With their inherent capacity for massive connectivity, ultra-low latency and high reliability, B5G networks provide an ideal infrastructure to support the diverse and dynamic requirements of IoT (Internet of Things) communication. Originally designed to initiate, modify and terminate…
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Journal Article
Smartphone barometer can hear, and sense finger taps
Abstract Nearly all modern smartphones are now equipped with a barometer to sample air pressure. Accessing these samples is deemed harmless, hence does not require permission. In this work, we demonstrate that barometer samples can reveal sensitive information, particularly in smartphones with…
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Journal Article
Advancements in adversarial example defense for deep learning models: a review
Abstract Artificial intelligence technology based on deep learning has been widely used in key fields such as automatic driving, medical diagnosis and financial risk control. These applications also bring more and more serious security problems. In particular, as the means of attack continue to…
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Journal Article
VDM-IOG, a framework of inference on graph in retrieval-augmented generation for vulnerability description mapping
Abstract To address the vulnerability description mapping (VDM) task, current approaches employ deep learning and large language models (LLMs) through prompt engineering, framing VDM as multi-class classification, multi-label classification, and text generation problems. However, existing methods…
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Journal Article
Cakr: a collision-aware cryptanalysis scheme for lightweight block ciphers
Abstract Partial neural distinguishers limit the available ciphertext bit combinations in differential neural cryptanalysis. When the training data size and the number of bits are not appropriately selected, label collisions can occur, which adversely affects key recovery efficiency. This paper…
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Journal Article
Detecting photo-taking actions in surveillance videos based on CPU-only devices
Abstract Taking photos of sensitive facilities and sensitive information in no photography area may cause sensitive information leakage if not discovered in time. Employing action recognition models to detect instances of photography can effectively prevent information leakage. Current action…
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Journal Article
Practical weak-key attack against full-round Loong: an involutional lightweight block cipher
Abstract In lightweight block cipher designs, involutory components are often employed to minimize circuit area. However, these components can also introduce security vulnerabilities. Loong is a family of lightweight block ciphers based on the Substitution-Permutation Network (SPN) structure. Each…
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Journal Article
Robust hardware Trojan detection leveraging dual-domain features and stacked ensemble learning
Abstract Cyber-physical systems rely on sensors, communication, and computing, all powered by integrated circuits (ICs). These ICs are vulnerable to malicious hardware attacks, with hardware Trojans being one of the stealthiest threats. Trojans are malicious implants in the circuitry, which are…
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Journal Article
Sending zero-knowledge proofs to the future
Abstract Time-release cryptography is a flourishing research area with a long history and has been extensively studied. In this work, we enrich it by introducing a novel concept: a time-release zero-knowledge proof (TRZKP). A TRZKP is a non-interactive zero-knowledge proof that allows one to…
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Journal Article
Fined-grained unmanned aerial vehicle anomaly detection by fusing multi-domain features
Abstract Unmanned aerial vehicle (UAV) fault brings about anomalies of sensors data, which can have serious and catastrophic consequences. Therefore, UAV anomaly detection (UAVAD) is crucial for its safe flight. As fail to differentiate the fined-grained feature error and fuse multi-domain…