International Journal of Information Security

Papers
(The TQCC of International Journal of Information Security is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-10-01 to 2025-10-01.)
ArticleCitations
BitCracker: BitLocker meets GPUs134
Using machine learning to detect network intrusions in industrial control systems: a survey130
Feature engineering impact on position falsification attacks detection in vehicular ad-hoc network81
The rise of “security and privacy”: bibliometric analysis of computer privacy research57
Fast but approximate homomorphic k-means based on masking technique55
Verifiability for privacy-preserving computing on distributed data — a survey53
An intrusion detection approach based on incremental long short-term memory51
AutoPKI: public key infrastructure for IoT with automated trust transfer43
Anomalous behavior detection-based approach for authenticating smart home system users36
Efficient arabic and english social spam detection using a transformer and 2D convolutional neural network-based deep learning filter33
Systematic review of SIEM technology: SIEM-SC birth33
Outlier-oriented poisoning attack: a grey-box approach to disturb decision boundaries by perturbing outliers in multiclass learning33
A comprehensive approach for mitigating impersonation in online assessment: integrity policy and random authentication31
Automated broken object-level authorization attack detection in REST APIs through OpenAPI to colored petri nets transformation30
Fairness as a Service (FaaS): verifiable and privacy-preserving fairness auditing of machine learning systems27
Xai-driven black-box adversarial attacks on network intrusion detectors26
Weighted quality criteria for cyber threat intelligence: assessment and prioritisation in the MISP data model26
Adaptive trust evaluation model based on container security analysis in the Docker platform26
can-sleuth: Sleuthing out the capabilities, limitations, and performance impacts of automotive intrusion detection datasets25
Random resampling algorithms for addressing the imbalanced dataset classes in insider threat detection25
BLoCNet: a hybrid, dataset-independent intrusion detection system using deep learning25
Malware classification approaches utilizing binary and text encoding of permissions25
Survey on image encryption techniques using chaotic maps in spatial, transform and spatiotemporal domains25
Balancing usability, user experience, security and privacy in XR systems: a multidimensional approach25
Restricting data-leakage using fine-grained access control on OSN objects24
Pseudonym shuffling-driven blockchain and Autoencoder-based secure E-healthcare data management23
Model-Agnostic Utility-Preserving Biometric Information Anonymization23
A vulnerability assessment and exploitation analysis of a powerline communication HomePlug AV network adapter23
Ensemble learning-based adaptive and adversarial techniques for APT attack detection23
Digital Twin-Enabled Incident Detection and Response: A Systematic Review of Critical Infrastructures Applications23
MEDICALHARM: A threat modeling designed for modern medical devices and a comprehensive study on effectiveness, user satisfaction, and security perspectives22
Unmasking the common traits: an ensemble approach for effective malware detection22
Adversarial robustness of deep reinforcement learning-based intrusion detection22
Acnn: arbitrary trace attacks based on leakage area detection22
Enhancing phishing email detection with stylometric features and classifier stacking21
Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition21
A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA)21
Phish-Sight: a new approach for phishing detection using dominant colors on web pages and machine learning20
Improving spam email classification accuracy using ensemble techniques: a stacking approach20
A survey of anomaly detection methods for power grids20
Tracing the evolution of cyber resilience: a historical and conceptual review20
“Animation” URL in NFT marketplaces considered harmful for privacy19
A perspective–retrospective analysis of diversity in signature-based open-source network intrusion detection systems19
Certified unlearning for a trustworthy machine learning-based access control administration18
Attribute inference privacy protection for pre-trained models18
Business process models and simulation to enable GDPR compliance18
Securing air-gapped systems-review of covert techniques for data ex-filtration and a new clause proposal for ISO 2700118
Construction of network pentest-defense adversarial environment based on NASim18
GaTeBaSep: game theory-based security protocol against ARP spoofing attacks in software-defined networks17
Semi-supervised approach for detecting malicious domains in TLDs in their first query17
Cross-Silo Federated Learning in Security Operations Centers for effective malware detection16
Efficient authentication scheme for heterogeneous signcryption with cryptographic reverse firewalls for VANETs16
Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards16
Generating adversarial examples with collaborative generative models16
Automated cybersecurity impact propagation across business processes using process mining techniques16
Advancements and challenges in privacy-preserving split learning: experimental findings and future directions16
Analyzing shared keys in X.509 certificates with domain ownership16
A systematic mapping study on security for systems of systems15
Authentication in Internet of Things, protocols, attacks, and open issues: a systematic literature review15
Secure outsourcing of manufacturing compliance checks15
Privacy information propagation in online social networks - a case study based on Weibo data15
Blockchain-based data integrity framework for Internet of Things15
Unmasking SDN flow table saturation: fingerprinting, attacks and defenses15
Generative AI for pentesting: the good, the bad, the ugly15
A systematic literature review on wearable health data publishing under differential privacy15
Developers’ mindset on self-adaptive privacy and its requirements for cloud computing environments15
RLET: a lightweight model for ubiquitous multi-class intrusion detection in sustainable and secured smart environment14
Spatial de-correlation of generated keys from wireless channels using adversarial deep learning14
Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network14
WEFT: a consistent and tamper-proof methodology for acquisition of automatically verifiable forensic web evidence14
A generic framework for blockchain-assisted on-chain auditing for off-chain storage14
Exploring the potential of deep learning and machine learning techniques for randomness analysis to enhance security on IoT14
Multi-cloud applications: data and code fragmentation for improved security14
DevSecOps practices and tools14
A fog-based anonymous authentication scheme with location privacy for wireless body area network with FPGA implementation13
Malicious uses of blockchains by malware: from the analysis to Smart-Zephyrus13
Estimating vulnerability metrics with word embedding and multiclass classification methods13
Comprehensive review on machine learning and deep learning techniques for malware detection in android and IoT devices13
Multi-user covert communication in power internet of things networks13
A Comprehensive User Study on Medical Device Threat Modeling Methodologies and CyberLlama2 - MEDICALHARM Threat Modeling Assistant.13
A first look at references from the dark to the surface web world: a case study in Tor13
Adversarial attacks against mouse- and keyboard-based biometric authentication: black-box versus domain-specific techniques13
Cyber-security gamification in federation of cyber ranges: design, implementation, and evaluation13
A blockchain-based trust and reputation model resilient to forgery attacks for data sharing scenarios (RWS-BTRM)12
A Data-centric approach for safe and secure large language models against threatening and toxic content12
Toward a unified and secure approach for extraction of forensic digital evidence from an IoT device12
Identifying factors influencing the duration of zero-day vulnerabilities12
Trust attack prevention based on Spark-blockchain in social IoT: a survey12
Two-stage advanced persistent threat (APT) attack on an IEC 61850 power grid substation11
A comprehensive Blockchain-oriented secure framework for SDN/Fog-based IoUT11
Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study11
Anonymous provision of privacy-sensitive services using blockchain and decentralised storage11
A systematic overview on methods to protect sensitive data provided for various analyses11
Abuse-freeness in contract signing: a blockchain-based proposal11
Analysis of OSPU security effect and data assembly verification under semi-network OS architecture11
A conflict-aware active BLE state machine learning and state coverage-guided gray-box fuzz testing method11
International journal of information security: a bibliometric study, 2007–202311
ANS-based compression and encryption with 128-bit security11
Protection of centralized SDN control plane from high-rate Packet-In messages11
TENET: a new hybrid network architecture for adversarial defense11
A comprehensive analysis of cryptocurrency breaches at endpoint10
Generating ICS vulnerability playbooks with open standards10
A Framework for Drift Detection and Adaptation in AI-driven Anomaly and Threat Detection Systems10
Correction: Maritime cybersecurity: protecting digital seas10
An overview of proposals towards the privacy-preserving publication of trajectory data10
PayScan: Detection and Security Analysis of Payment Libraries in Android Apps10
Challenges of post-quantum digital signing in real-world applications: a survey10
Novel mechanism for anonymous reporting and anonymous rewarding using blockchain technology10
Cyber–physical risk assessment for false data injection attacks considering moving target defences10
Selfish mining attack in blockchain: a systematic literature review10
A unit-based symbolic execution method for detecting memory corruption vulnerabilities in executable codes9
Federated learning for misbehaviour detection with variational autoencoders and Gaussian mixture models9
Securing the IoT ecosystem: ASIC-based hardware realization of Ascon lightweight cipher9
Retraction Note: Deep learning based network intrusion detection system: a systematic literature review and future scopes9
Deep behavioral analysis of machine learning algorithms against data poisoning9
Efficient and interpretable SRU combined with TabNet for network intrusion detection in the big data environment9
Non-Alpha-Num: a novel architecture for generating adversarial examples for bypassing NLP-based clickbait detection mechanisms9
Performance analysis of capsule networks for detecting GPS spoofing attacks on unmanned aerial vehicles9
Factors influencing Swedish citizens’ willingness to provide their mobile phones to forensic examination9
Correction: Cryptocurrency recovery framework using pre-signed transaction9
A computationally efficient dimensionality reduction and attack classification approach for network intrusion detection8
Scalable, password-based and threshold authentication for smart homes8
Email bombing attack detection and mitigation using machine learning8
Maritime decision-makers and cyber security: deck officers’ perception of cyber risks towards IT and OT systems8
Identifying Open-Source Threat Detection Resources on GitHub: A Scalable Machine Learning Approach8
Detecting malicious nodes using game theory and reinforcement learning in software-defined networks8
Pioneering automated vulnerability detection for smart contracts in blockchain using KEVM: Guardian ADRGAN8
Balancing the act? Resampling versus imbalanced data for Wi-Fi IDS8
SCAnME - scanner comparative analysis and metrics for evaluation8
Progressive attack graph: a technique for scalable and adaptive attack graph generation8
Federated learning-based intrusion detection system for Internet of Things7
Short- versus long-term performance of detection models for obfuscated MSOffice-embedded malware7
CARNYX: A framework for vulnerability detection via power consumption analysis in embedded systems7
Vulnerability discovery based on source code patch commit mining: a systematic literature review7
A deep learning approach based on multi-view consensus for SQL injection detection7
SmartiPhish: a reinforcement learning-based intelligent anti-phishing solution to detect spoofed website attacks7
A personalized learning theory-based cyber-security training exercise7
IoT device security audit tools: a comprehensive analysis and a layered architecture approach for addressing expanded security requirements7
An end-to-end intrusion detection system with IoT dataset using deep learning with unsupervised feature extraction7
Large language models for software vulnerability detection: a guide for researchers on models, methods, techniques, datasets, and metrics7
Intrusion detection in IoT network using temporal wavelet augmented deep dense and LSTM auto-encoders7
Bridging cybersecurity with digital twin technology: a thematic analysis7
DFTMicroagg: a dual-level anonymization algorithm for smart grid data7
From sinking to saving: MITRE ATT &CK and D3FEND frameworks for maritime cybersecurity7
Citizens’ engagement with cybersecurity measures in Bangladesh: a cross-sectional study7
Transformer or Autoencoder? Who is the ultimate adversary for attack detectors?7
Aldp-fl: an adaptive local differential privacy-based federated learning mechanism for IoT7
Enhancing DevSecOps practice with Large Language Models and Security Chaos Engineering7
Security analysis and improvement of a privacy-preserving authentication scheme in VANET7
A comprehensive survey of phishing: mediums, intended targets, attack and defence techniques and a novel taxonomy7
Investigation of application layer DDoS attacks in legacy and software-defined networks: A comprehensive review7
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