International Journal of Information Security

Papers
(The TQCC of International Journal of Information Security is 11. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
AutoPKI: public key infrastructure for IoT with automated trust transfer228
Outlier-oriented poisoning attack: a grey-box approach to disturb decision boundaries by perturbing outliers in multiclass learning100
Feature engineering impact on position falsification attacks detection in vehicular ad-hoc network83
Verifiability for privacy-preserving computing on distributed data — a survey82
The rise of “security and privacy”: bibliometric analysis of computer privacy research66
Systematic review of SIEM technology: SIEM-SC birth65
Fast but approximate homomorphic k-means based on masking technique60
Using machine learning to detect network intrusions in industrial control systems: a survey50
An intrusion detection approach based on incremental long short-term memory49
Malware classification approaches utilizing binary and text encoding of permissions48
Efficient arabic and english social spam detection using a transformer and 2D convolutional neural network-based deep learning filter48
Automated broken object-level authorization attack detection in REST APIs through OpenAPI to colored petri nets transformation47
can-sleuth: Sleuthing out the capabilities, limitations, and performance impacts of automotive intrusion detection datasets46
Random resampling algorithms for addressing the imbalanced dataset classes in insider threat detection46
BLoCNet: a hybrid, dataset-independent intrusion detection system using deep learning45
Balancing usability, user experience, security and privacy in XR systems: a multidimensional approach45
A comprehensive approach for mitigating impersonation in online assessment: integrity policy and random authentication44
Adaptive trust evaluation model based on container security analysis in the Docker platform44
Weighted quality criteria for cyber threat intelligence: assessment and prioritisation in the MISP data model44
Xai-driven black-box adversarial attacks on network intrusion detectors42
Fairness as a Service (FaaS): verifiable and privacy-preserving fairness auditing of machine learning systems42
A vulnerability assessment and exploitation analysis of a powerline communication HomePlug AV network adapter42
Acnn: arbitrary trace attacks based on leakage area detection39
A perspective–retrospective analysis of diversity in signature-based open-source network intrusion detection systems38
Restricting data-leakage using fine-grained access control on OSN objects38
Unmasking the common traits: an ensemble approach for effective malware detection37
Explainable AI based dynamic cybersecurity risk management for cyber insurability37
Phish-Sight: a new approach for phishing detection using dominant colors on web pages and machine learning36
A large scale analysis of code security in public repositories36
Model-Agnostic Utility-Preserving Biometric Information Anonymization36
Enhancing phishing email detection with stylometric features and classifier stacking35
A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA)35
Tracing the evolution of cyber resilience: a historical and conceptual review34
Digital Twin-Enabled Incident Detection and Response: A Systematic Review of Critical Infrastructures Applications34
Improving spam email classification accuracy using ensemble techniques: a stacking approach32
Ensemble learning-based adaptive and adversarial techniques for APT attack detection31
A survey of anomaly detection methods for power grids31
Pseudonym shuffling-driven blockchain and Autoencoder-based secure E-healthcare data management30
Towards enhanced cybersecurity in industrial control systems: a systematic review of context-based modeling, digital twins, and machine learning approaches30
Adversarial robustness of deep reinforcement learning-based intrusion detection29
MEDICALHARM: A threat modeling designed for modern medical devices and a comprehensive study on effectiveness, user satisfaction, and security perspectives29
Construction of network pentest-defense adversarial environment based on NASim28
“Animation” URL in NFT marketplaces considered harmful for privacy28
Securing air-gapped systems-review of covert techniques for data ex-filtration and a new clause proposal for ISO 2700128
Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition28
Attribute inference privacy protection for pre-trained models28
Semi-supervised approach for detecting malicious domains in TLDs in their first query27
Certified unlearning for a trustworthy machine learning-based access control administration27
GaTeBaSep: game theory-based security protocol against ARP spoofing attacks in software-defined networks27
Analyzing shared keys in X.509 certificates with domain ownership26
Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards26
Automated cybersecurity impact propagation across business processes using process mining techniques26
Tackling smart city security: deep learning approach utilizing feature selection and two-level cooperative framework optimized by adapted metaheuristics algorithm25
Enhancing national security: a multidimensional situational awareness model for emerging economic crime prevention25
Developers’ mindset on self-adaptive privacy and its requirements for cloud computing environments25
Secure outsourcing of manufacturing compliance checks25
Selfish or Malicious: Price of malice in human-centric security decision-making for attack graph-based interdependent systems25
Business process models and simulation to enable GDPR compliance24
Efficient authentication scheme for heterogeneous signcryption with cryptographic reverse firewalls for VANETs24
Generating adversarial examples with collaborative generative models24
Blockchain-based data integrity framework for Internet of Things24
Cross-Silo Federated Learning in Security Operations Centers for effective malware detection23
Advancements and challenges in privacy-preserving split learning: experimental findings and future directions23
Unmasking SDN flow table saturation: fingerprinting, attacks and defenses23
Authentication in Internet of Things, protocols, attacks, and open issues: a systematic literature review23
Generative AI for pentesting: the good, the bad, the ugly23
Privacy information propagation in online social networks - a case study based on Weibo data23
A systematic mapping study on security for systems of systems23
WEFT: a consistent and tamper-proof methodology for acquisition of automatically verifiable forensic web evidence22
Selected papers from the 29th European Symposium on Research in Computer Security (by invite-only)22
A generic framework for blockchain-assisted on-chain auditing for off-chain storage22
Multi-cloud applications: data and code fragmentation for improved security22
BuKc: A novel bottom-up approach for enhanced data anonymization in apache spark22
From Prey to Protect: Exploring Social Engineering Through Games and Simulation. Trust, Awareness, and Phishing Defense22
A Comprehensive User Study on Medical Device Threat Modeling Methodologies and CyberLlama2 - MEDICALHARM Threat Modeling Assistant.22
Cyber-security gamification in federation of cyber ranges: design, implementation, and evaluation20
Interpretable information fusion and small sample dataset expansion in power system anomaly detection based on artificial intelligence algorithms20
Exploring the potential of deep learning and machine learning techniques for randomness analysis to enhance security on IoT20
Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network20
Estimating vulnerability metrics with word embedding and multiclass classification methods20
DevSecOps practices and tools20
RLET: a lightweight model for ubiquitous multi-class intrusion detection in sustainable and secured smart environment20
Spatial de-correlation of generated keys from wireless channels using adversarial deep learning20
Adversarial attacks against mouse- and keyboard-based biometric authentication: black-box versus domain-specific techniques19
Network-Based Real-Time Detection of Data Manipulation Attacks in Industrial Control Systems19
A fog-based anonymous authentication scheme with location privacy for wireless body area network with FPGA implementation19
BSDS-ShareCrypt: a blockchain-enabled framework for secure, anonymous, and accountable data sharing in cloud-IoT environments using aggregate key searchable encryption19
Multi-user covert communication in power internet of things networks19
International journal of information security: a bibliometric study, 2007–202318
Trust attack prevention based on Spark-blockchain in social IoT: a survey18
ANS-based compression and encryption with 128-bit security18
Toward a unified and secure approach for extraction of forensic digital evidence from an IoT device18
Identifying factors influencing the duration of zero-day vulnerabilities18
Malicious uses of blockchains by malware: from the analysis to Smart-Zephyrus18
A blockchain-based trust and reputation model resilient to forgery attacks for data sharing scenarios (RWS-BTRM)18
A systematic overview on methods to protect sensitive data provided for various analyses18
A Data-centric approach for safe and secure large language models against threatening and toxic content17
Analysis of OSPU security effect and data assembly verification under semi-network OS architecture17
Non-Alpha-Num: a novel architecture for generating adversarial examples for bypassing NLP-based clickbait detection mechanisms17
Anonymous provision of privacy-sensitive services using blockchain and decentralised storage17
Two-stage advanced persistent threat (APT) attack on an IEC 61850 power grid substation17
A conflict-aware active BLE state machine learning and state coverage-guided gray-box fuzz testing method17
Abuse-freeness in contract signing: a blockchain-based proposal17
FKSS: A fast keyword search scheme with access control for cloud-assisted edge computing17
Comprehensive review on machine learning and deep learning techniques for malware detection in android and IoT devices17
Novel mechanism for anonymous reporting and anonymous rewarding using blockchain technology17
Selfish mining attack in blockchain: a systematic literature review17
A comprehensive analysis of cryptocurrency breaches at endpoint16
A Framework for Drift Detection and Adaptation in AI-driven Anomaly and Threat Detection Systems16
Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study16
An overview of proposals towards the privacy-preserving publication of trajectory data16
TENET: a new hybrid network architecture for adversarial defense16
Correction: Maritime cybersecurity: protecting digital seas16
Cyber–physical risk assessment for false data injection attacks considering moving target defences16
PayScan: Detection and Security Analysis of Payment Libraries in Android Apps16
Correction to: CARNYX: A framework for vulnerability detection via power consumption analysis in embedded systems16
A unit-based symbolic execution method for detecting memory corruption vulnerabilities in executable codes16
Protection of centralized SDN control plane from high-rate Packet-In messages15
Factors influencing Swedish citizens’ willingness to provide their mobile phones to forensic examination15
A comprehensive Blockchain-oriented secure framework for SDN/Fog-based IoUT15
Generating ICS vulnerability playbooks with open standards15
Deep behavioral analysis of machine learning algorithms against data poisoning15
Pioneering automated vulnerability detection for smart contracts in blockchain using KEVM: Guardian ADRGAN14
Retraction Note: Deep learning based network intrusion detection system: a systematic literature review and future scopes14
Identifying Open-Source Threat Detection Resources on GitHub: A Scalable Machine Learning Approach14
Correction: Cryptocurrency recovery framework using pre-signed transaction14
SCAnME - scanner comparative analysis and metrics for evaluation14
Detecting malicious nodes using game theory and reinforcement learning in software-defined networks14
Progressive attack graph: a technique for scalable and adaptive attack graph generation13
Enhancing DevSecOps practice with Large Language Models and Security Chaos Engineering13
Securing the IoT ecosystem: ASIC-based hardware realization of Ascon lightweight cipher13
Balancing the act? Resampling versus imbalanced data for Wi-Fi IDS13
Intrusion detection in IoT network using temporal wavelet augmented deep dense and LSTM auto-encoders13
Performance analysis of capsule networks for detecting GPS spoofing attacks on unmanned aerial vehicles13
Designated-verifier zk-SNARKs made easy13
Vulnerability discovery based on source code patch commit mining: a systematic literature review13
Email bombing attack detection and mitigation using machine learning13
Efficient and interpretable SRU combined with TabNet for network intrusion detection in the big data environment13
Federated learning for misbehaviour detection with variational autoencoders and Gaussian mixture models13
A deep learning approach based on multi-view consensus for SQL injection detection13
Large language models for software vulnerability detection: a guide for researchers on models, methods, techniques, datasets, and metrics12
SmartiPhish: a reinforcement learning-based intelligent anti-phishing solution to detect spoofed website attacks12
A computationally efficient dimensionality reduction and attack classification approach for network intrusion detection12
Short- versus long-term performance of detection models for obfuscated MSOffice-embedded malware12
A personalized learning theory-based cyber-security training exercise12
Maritime decision-makers and cyber security: deck officers’ perception of cyber risks towards IT and OT systems12
Federated learning-based intrusion detection system for Internet of Things12
IoT device security audit tools: a comprehensive analysis and a layered architecture approach for addressing expanded security requirements11
Transformer or Autoencoder? Who is the ultimate adversary for attack detectors?11
DFTMicroagg: a dual-level anonymization algorithm for smart grid data11
An end-to-end intrusion detection system with IoT dataset using deep learning with unsupervised feature extraction11
Investigation of application layer DDoS attacks in legacy and software-defined networks: A comprehensive review11
Aldp-fl: an adaptive local differential privacy-based federated learning mechanism for IoT11
Evaluating ASCERT: generative AI for cyber-range scenario generation11
CARNYX: A framework for vulnerability detection via power consumption analysis in embedded systems11
P2ADF: a privacy-preserving attack detection framework in fog-IoT environment11
Bridging cybersecurity with digital twin technology: a thematic analysis11
A comprehensive survey of phishing: mediums, intended targets, attack and defence techniques and a novel taxonomy11
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