International Journal of Information Security

Papers
(The TQCC of International Journal of Information Security is 13. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
AutoPKI: public key infrastructure for IoT with automated trust transfer255
Outlier-oriented poisoning attack: a grey-box approach to disturb decision boundaries by perturbing outliers in multiclass learning106
Using machine learning to detect network intrusions in industrial control systems: a survey92
Systematic review of SIEM technology: SIEM-SC birth91
Efficient arabic and english social spam detection using a transformer and 2D convolutional neural network-based deep learning filter70
Fast but approximate homomorphic k-means based on masking technique68
Verifiability for privacy-preserving computing on distributed data — a survey64
An intrusion detection approach based on incremental long short-term memory64
Feature engineering impact on position falsification attacks detection in vehicular ad-hoc network56
The rise of “security and privacy”: bibliometric analysis of computer privacy research53
Adaptive trust evaluation model based on container security analysis in the Docker platform52
BLoCNet: a hybrid, dataset-independent intrusion detection system using deep learning52
Balancing usability, user experience, security and privacy in XR systems: a multidimensional approach52
Fairness as a Service (FaaS): verifiable and privacy-preserving fairness auditing of machine learning systems51
Random resampling algorithms for addressing the imbalanced dataset classes in insider threat detection49
Weighted quality criteria for cyber threat intelligence: assessment and prioritisation in the MISP data model48
Automated broken object-level authorization attack detection in REST APIs through OpenAPI to colored petri nets transformation48
A comprehensive approach for mitigating impersonation in online assessment: integrity policy and random authentication47
Xai-driven black-box adversarial attacks on network intrusion detectors46
can-sleuth: Sleuthing out the capabilities, limitations, and performance impacts of automotive intrusion detection datasets44
Malware classification approaches utilizing binary and text encoding of permissions44
A vulnerability assessment and exploitation analysis of a powerline communication HomePlug AV network adapter44
Digital Twin-Enabled Incident Detection and Response: A Systematic Review of Critical Infrastructures Applications43
Improving spam email classification accuracy using ensemble techniques: a stacking approach42
Explainable AI based dynamic cybersecurity risk management for cyber insurability41
Acnn: arbitrary trace attacks based on leakage area detection41
A survey of anomaly detection methods for power grids40
Unmasking the common traits: an ensemble approach for effective malware detection39
Model-Agnostic Utility-Preserving Biometric Information Anonymization38
Restricting data-leakage using fine-grained access control on OSN objects38
Pseudonym shuffling-driven blockchain and Autoencoder-based secure E-healthcare data management38
A large scale analysis of code security in public repositories37
Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition36
Ensemble learning-based adaptive and adversarial techniques for APT attack detection35
Enhancing phishing email detection with stylometric features and classifier stacking34
MEDICALHARM: A threat modeling designed for modern medical devices and a comprehensive study on effectiveness, user satisfaction, and security perspectives34
Towards enhanced cybersecurity in industrial control systems: a systematic review of context-based modeling, digital twins, and machine learning approaches33
A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA)33
Tracing the evolution of cyber resilience: a historical and conceptual review33
A perspective–retrospective analysis of diversity in signature-based open-source network intrusion detection systems33
Adversarial robustness of deep reinforcement learning-based intrusion detection32
“Animation” URL in NFT marketplaces considered harmful for privacy32
Phish-Sight: a new approach for phishing detection using dominant colors on web pages and machine learning32
Attribute inference privacy protection for pre-trained models31
Construction of network pentest-defense adversarial environment based on NASim31
Secure outsourcing of manufacturing compliance checks30
Semi-supervised approach for detecting malicious domains in TLDs in their first query30
Automated cybersecurity impact propagation across business processes using process mining techniques30
Analyzing shared keys in X.509 certificates with domain ownership30
Efficient authentication scheme for heterogeneous signcryption with cryptographic reverse firewalls for VANETs29
Developers’ mindset on self-adaptive privacy and its requirements for cloud computing environments29
Selfish or Malicious: Price of malice in human-centric security decision-making for attack graph-based interdependent systems29
Generating adversarial examples with collaborative generative models28
BuKc: A novel bottom-up approach for enhanced data anonymization in apache spark28
A systematic mapping study on security for systems of systems28
Authentication in Internet of Things, protocols, attacks, and open issues: a systematic literature review28
Business process models and simulation to enable GDPR compliance27
Tackling smart city security: deep learning approach utilizing feature selection and two-level cooperative framework optimized by adapted metaheuristics algorithm27
Cross-Silo Federated Learning in Security Operations Centers for effective malware detection27
From Prey to Protect: Exploring Social Engineering Through Games and Simulation. Trust, Awareness, and Phishing Defense27
Privacy information propagation in online social networks - a case study based on Weibo data27
Enhancing national security: a multidimensional situational awareness model for emerging economic crime prevention26
Certified unlearning for a trustworthy machine learning-based access control administration26
GaTeBaSep: game theory-based security protocol against ARP spoofing attacks in software-defined networks26
Securing air-gapped systems-review of covert techniques for data ex-filtration and a new clause proposal for ISO 2700125
Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards25
Advancements and challenges in privacy-preserving split learning: experimental findings and future directions25
Unmasking SDN flow table saturation: fingerprinting, attacks and defenses25
Blockchain-based data integrity framework for Internet of Things24
Generative AI for pentesting: the good, the bad, the ugly24
Interpretable information fusion and small sample dataset expansion in power system anomaly detection based on artificial intelligence algorithms23
A generic framework for blockchain-assisted on-chain auditing for off-chain storage23
Spatial de-correlation of generated keys from wireless channels using adversarial deep learning23
A Comprehensive User Study on Medical Device Threat Modeling Methodologies and CyberLlama2 - MEDICALHARM Threat Modeling Assistant.23
Multi-cloud applications: data and code fragmentation for improved security23
Cyber-security gamification in federation of cyber ranges: design, implementation, and evaluation23
Selected papers from the 29th European Symposium on Research in Computer Security (by invite-only)23
Estimating vulnerability metrics with word embedding and multiclass classification methods23
WEFT: a consistent and tamper-proof methodology for acquisition of automatically verifiable forensic web evidence23
DevSecOps practices and tools22
A fog-based anonymous authentication scheme with location privacy for wireless body area network with FPGA implementation22
RLET: a lightweight model for ubiquitous multi-class intrusion detection in sustainable and secured smart environment22
Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network22
Exploring the potential of deep learning and machine learning techniques for randomness analysis to enhance security on IoT22
BSDS-ShareCrypt: a blockchain-enabled framework for secure, anonymous, and accountable data sharing in cloud-IoT environments using aggregate key searchable encryption22
A blockchain-based trust and reputation model resilient to forgery attacks for data sharing scenarios (RWS-BTRM)21
Malicious uses of blockchains by malware: from the analysis to Smart-Zephyrus21
Toward a unified and secure approach for extraction of forensic digital evidence from an IoT device21
Network-Based Real-Time Detection of Data Manipulation Attacks in Industrial Control Systems21
Trust attack prevention based on Spark-blockchain in social IoT: a survey21
International journal of information security: a bibliometric study, 2007–202321
Multi-user covert communication in power internet of things networks20
Adversarial attacks against mouse- and keyboard-based biometric authentication: black-box versus domain-specific techniques20
Analysis of OSPU security effect and data assembly verification under semi-network OS architecture20
Identifying factors influencing the duration of zero-day vulnerabilities20
A Data-centric approach for safe and secure large language models against threatening and toxic content20
A systematic overview on methods to protect sensitive data provided for various analyses20
Comprehensive review on machine learning and deep learning techniques for malware detection in android and IoT devices20
Two-stage advanced persistent threat (APT) attack on an IEC 61850 power grid substation20
A comprehensive Blockchain-oriented secure framework for SDN/Fog-based IoUT19
Novel mechanism for anonymous reporting and anonymous rewarding using blockchain technology19
Correction to: CARNYX: A framework for vulnerability detection via power consumption analysis in embedded systems19
Cyber–physical risk assessment for false data injection attacks considering moving target defences19
Correction: Maritime cybersecurity: protecting digital seas19
Abuse-freeness in contract signing: a blockchain-based proposal18
Generating ICS vulnerability playbooks with open standards18
Non-Alpha-Num: a novel architecture for generating adversarial examples for bypassing NLP-based clickbait detection mechanisms18
TENET: a new hybrid network architecture for adversarial defense18
FKSS: A fast keyword search scheme with access control for cloud-assisted edge computing18
A unit-based symbolic execution method for detecting memory corruption vulnerabilities in executable codes18
PayScan: Detection and Security Analysis of Payment Libraries in Android Apps18
Selfish mining attack in blockchain: a systematic literature review18
Anonymous provision of privacy-sensitive services using blockchain and decentralised storage18
A comprehensive analysis of cryptocurrency breaches at endpoint18
Protection of centralized SDN control plane from high-rate Packet-In messages18
A Framework for Drift Detection and Adaptation in AI-driven Anomaly and Threat Detection Systems17
An overview of proposals towards the privacy-preserving publication of trajectory data17
A conflict-aware active BLE state machine learning and state coverage-guided gray-box fuzz testing method17
Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study16
Pioneering automated vulnerability detection for smart contracts in blockchain using KEVM: Guardian ADRGAN16
A computationally efficient dimensionality reduction and attack classification approach for network intrusion detection16
Correction: Cryptocurrency recovery framework using pre-signed transaction16
Balancing the act? Resampling versus imbalanced data for Wi-Fi IDS16
Designated-verifier zk-SNARKs made easy16
Factors influencing Swedish citizens’ willingness to provide their mobile phones to forensic examination16
Progressive attack graph: a technique for scalable and adaptive attack graph generation15
Performance analysis of capsule networks for detecting GPS spoofing attacks on unmanned aerial vehicles15
Deep behavioral analysis of machine learning algorithms against data poisoning15
Identifying Open-Source Threat Detection Resources on GitHub: A Scalable Machine Learning Approach15
Intrusion detection in IoT network using temporal wavelet augmented deep dense and LSTM auto-encoders15
Vulnerability discovery based on source code patch commit mining: a systematic literature review15
Efficient and interpretable SRU combined with TabNet for network intrusion detection in the big data environment15
Detecting malicious nodes using game theory and reinforcement learning in software-defined networks15
SCAnME - scanner comparative analysis and metrics for evaluation15
Enhancing DevSecOps practice with Large Language Models and Security Chaos Engineering15
Retraction Note: Deep learning based network intrusion detection system: a systematic literature review and future scopes14
A deep learning approach based on multi-view consensus for SQL injection detection14
Email bombing attack detection and mitigation using machine learning14
Securing the IoT ecosystem: ASIC-based hardware realization of Ascon lightweight cipher14
Federated learning for misbehaviour detection with variational autoencoders and Gaussian mixture models14
A comprehensive survey of phishing: mediums, intended targets, attack and defence techniques and a novel taxonomy13
A personalized learning theory-based cyber-security training exercise13
DFTMicroagg: a dual-level anonymization algorithm for smart grid data13
CARNYX: A framework for vulnerability detection via power consumption analysis in embedded systems13
Evaluating ASCERT: generative AI for cyber-range scenario generation13
Federated learning-based intrusion detection system for Internet of Things13
Short- versus long-term performance of detection models for obfuscated MSOffice-embedded malware13
Large language models for software vulnerability detection: a guide for researchers on models, methods, techniques, datasets, and metrics13
Bridging cybersecurity with digital twin technology: a thematic analysis13
Aldp-fl: an adaptive local differential privacy-based federated learning mechanism for IoT13
SmartiPhish: a reinforcement learning-based intelligent anti-phishing solution to detect spoofed website attacks13
Maritime decision-makers and cyber security: deck officers’ perception of cyber risks towards IT and OT systems13
Transformer or Autoencoder? Who is the ultimate adversary for attack detectors?13
An end-to-end intrusion detection system with IoT dataset using deep learning with unsupervised feature extraction13
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