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 2021-08-01 to 2025-08-01.)
ArticleCitations
BitCracker: BitLocker meets GPUs125
The rise of “security and privacy”: bibliometric analysis of computer privacy research106
Fast but approximate homomorphic k-means based on masking technique76
Verifiability for privacy-preserving computing on distributed data — a survey50
AutoPKI: public key infrastructure for IoT with automated trust transfer49
Anomalous behavior detection-based approach for authenticating smart home system users46
Outlier-oriented poisoning attack: a grey-box approach to disturb decision boundaries by perturbing outliers in multiclass learning40
Efficient arabic and english social spam detection using a transformer and 2D convolutional neural network-based deep learning filter39
A content-based deep intrusion detection system33
Feature engineering impact on position falsification attacks detection in vehicular ad-hoc network32
Systematic review of SIEM technology: SIEM-SC birth30
An intrusion detection approach based on incremental long short-term memory29
Using machine learning to detect network intrusions in industrial control systems: a survey29
Malware classification approaches utilizing binary and text encoding of permissions27
A comprehensive approach for mitigating impersonation in online assessment: integrity policy and random authentication25
Fairness as a Service (FaaS): verifiable and privacy-preserving fairness auditing of machine learning systems24
Weighted quality criteria for cyber threat intelligence: assessment and prioritisation in the MISP data model23
Automated broken object-level authorization attack detection in REST APIs through OpenAPI to colored petri nets transformation23
BLoCNet: a hybrid, dataset-independent intrusion detection system using deep learning23
Balancing usability, user experience, security and privacy in XR systems: a multidimensional approach23
Xai-driven black-box adversarial attacks on network intrusion detectors22
Random resampling algorithms for addressing the imbalanced dataset classes in insider threat detection22
Acnn: arbitrary trace attacks based on leakage area detection20
Restricting data-leakage using fine-grained access control on OSN objects20
A vulnerability assessment and exploitation analysis of a powerline communication HomePlug AV network adapter20
MEDICALHARM: A threat modeling designed for modern medical devices and a comprehensive study on effectiveness, user satisfaction, and security perspectives20
Survey on image encryption techniques using chaotic maps in spatial, transform and spatiotemporal domains20
Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition20
Unmasking the common traits: an ensemble approach for effective malware detection20
Enhancing phishing email detection with stylometric features and classifier stacking19
Model-Agnostic Utility-Preserving Biometric Information Anonymization19
Pseudonym shuffling-driven blockchain and Autoencoder-based secure E-healthcare data management19
Improving spam email classification accuracy using ensemble techniques: a stacking approach18
Ensemble learning-based adaptive and adversarial techniques for APT attack detection18
Adversarial robustness of deep reinforcement learning-based intrusion detection17
A survey of anomaly detection methods for power grids17
A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA)17
Phish-Sight: a new approach for phishing detection using dominant colors on web pages and machine learning17
Tracing the evolution of cyber resilience: a historical and conceptual review17
“Animation” URL in NFT marketplaces considered harmful for privacy17
A perspective–retrospective analysis of diversity in signature-based open-source network intrusion detection systems17
Attribute inference privacy protection for pre-trained models16
A systematic literature review on wearable health data publishing under differential privacy16
Certified unlearning for a trustworthy machine learning-based access control administration16
Developers’ mindset on self-adaptive privacy and its requirements for cloud computing environments16
Privacy information propagation in online social networks - a case study based on Weibo data16
Unmasking SDN flow table saturation: fingerprinting, attacks and defenses16
Semi-supervised approach for detecting malicious domains in TLDs in their first query16
Secure outsourcing of manufacturing compliance checks15
Analyzing shared keys in X.509 certificates with domain ownership15
Blockchain-based data integrity framework for Internet of Things15
Generating adversarial examples with collaborative generative models15
Construction of network pentest-defense adversarial environment based on NASim15
GaTeBaSep: game theory-based security protocol against ARP spoofing attacks in software-defined networks15
Business process models and simulation to enable GDPR compliance15
Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards14
Advancements and challenges in privacy-preserving split learning: experimental findings and future directions14
Automated cybersecurity impact propagation across business processes using process mining techniques14
A systematic mapping study on security for systems of systems14
Authentication in Internet of Things, protocols, attacks, and open issues: a systematic literature review14
Securing air-gapped systems-review of covert techniques for data ex-filtration and a new clause proposal for ISO 2700114
Efficient authentication scheme for heterogeneous signcryption with cryptographic reverse firewalls for VANETs14
Generative AI for pentesting: the good, the bad, the ugly13
Exploring the potential of deep learning and machine learning techniques for randomness analysis to enhance security on IoT13
Cross-Silo Federated Learning in Security Operations Centers for effective malware detection13
Spatial de-correlation of generated keys from wireless channels using adversarial deep learning13
RLET: a lightweight model for ubiquitous multi-class intrusion detection in sustainable and secured smart environment13
WEFT: a consistent and tamper-proof methodology for acquisition of automatically verifiable forensic web evidence13
Malicious uses of blockchains by malware: from the analysis to Smart-Zephyrus12
Estimating vulnerability metrics with word embedding and multiclass classification methods12
A generic framework for blockchain-assisted on-chain auditing for off-chain storage12
Security beyond cybersecurity: side-channel attacks against non-cyber systems and their countermeasures12
International journal of information security: a bibliometric study, 2007–202312
Cyber-security gamification in federation of cyber ranges: design, implementation, and evaluation12
Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network12
Multi-user covert communication in power internet of things networks12
Adversarial attacks against mouse- and keyboard-based biometric authentication: black-box versus domain-specific techniques12
DevSecOps practices and tools12
Multi-cloud applications: data and code fragmentation for improved security12
Toward a unified and secure approach for extraction of forensic digital evidence from an IoT device12
A first look at references from the dark to the surface web world: a case study in Tor11
Two-stage advanced persistent threat (APT) attack on an IEC 61850 power grid substation11
A Data-centric approach for safe and secure large language models against threatening and toxic content11
Identifying factors influencing the duration of zero-day vulnerabilities11
Trust attack prevention based on Spark-blockchain in social IoT: a survey11
Comprehensive review on machine learning and deep learning techniques for malware detection in android and IoT devices11
ANS-based compression and encryption with 128-bit security11
A fog-based anonymous authentication scheme with location privacy for wireless body area network with FPGA implementation10
Abuse-freeness in contract signing: a blockchain-based proposal10
Anonymous provision of privacy-sensitive services using blockchain and decentralised storage10
Generating ICS vulnerability playbooks with open standards10
A systematic overview on methods to protect sensitive data provided for various analyses10
Novel mechanism for anonymous reporting and anonymous rewarding using blockchain technology10
A conflict-aware active BLE state machine learning and state coverage-guided gray-box fuzz testing method10
An overview of proposals towards the privacy-preserving publication of trajectory data10
A comprehensive Blockchain-oriented secure framework for SDN/Fog-based IoUT10
Protection of centralized SDN control plane from high-rate Packet-In messages10
A comprehensive analysis of cryptocurrency breaches at endpoint10
Retraction Note: Deep learning based network intrusion detection system: a systematic literature review and future scopes9
Correction: Cryptocurrency recovery framework using pre-signed transaction9
A unit-based symbolic execution method for detecting memory corruption vulnerabilities in executable codes9
Selfish mining attack in blockchain: a systematic literature review9
Factors influencing Swedish citizens’ willingness to provide their mobile phones to forensic examination9
Performance analysis of capsule networks for detecting GPS spoofing attacks on unmanned aerial vehicles9
Cyber–physical risk assessment for false data injection attacks considering moving target defences9
Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study9
TENET: a new hybrid network architecture for adversarial defense9
PayScan: Detection and Security Analysis of Payment Libraries in Android Apps9
Deep behavioral analysis of machine learning algorithms against data poisoning9
Analysis of OSPU security effect and data assembly verification under semi-network OS architecture9
Non-Alpha-Num: a novel architecture for generating adversarial examples for bypassing NLP-based clickbait detection mechanisms9
Challenges of post-quantum digital signing in real-world applications: a survey9
Large language models for software vulnerability detection: a guide for researchers on models, methods, techniques, datasets, and metrics8
Securing the IoT ecosystem: ASIC-based hardware realization of Ascon lightweight cipher8
Email bombing attack detection and mitigation using machine learning8
Enhancing DevSecOps practice with Large Language Models and Security Chaos Engineering8
Efficient and interpretable SRU combined with TabNet for network intrusion detection in the big data environment8
A deep learning approach based on multi-view consensus for SQL injection detection8
Identifying Open-Source Threat Detection Resources on GitHub: A Scalable Machine Learning Approach8
Pioneering automated vulnerability detection for smart contracts in blockchain using KEVM: Guardian ADRGAN8
Maritime decision-makers and cyber security: deck officers’ perception of cyber risks towards IT and OT systems8
Balancing the act? Resampling versus imbalanced data for Wi-Fi IDS8
Federated learning for misbehaviour detection with variational autoencoders and Gaussian mixture models8
Scalable, password-based and threshold authentication for smart homes8
SCAnME - scanner comparative analysis and metrics for evaluation8
Detecting malicious nodes using game theory and reinforcement learning in software-defined networks8
A computationally efficient dimensionality reduction and attack classification approach for network intrusion detection8
Short- versus long-term performance of detection models for obfuscated MSOffice-embedded malware7
SmartiPhish: a reinforcement learning-based intelligent anti-phishing solution to detect spoofed website attacks7
DFTMicroagg: a dual-level anonymization algorithm for smart grid data7
Federated learning-based intrusion detection system for Internet of Things7
A personalized learning theory-based cyber-security training exercise7
Vulnerability discovery based on source code patch commit mining: a systematic literature review7
CARNYX: A framework for vulnerability detection via power consumption analysis in embedded systems7
0.063759088516235