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Yayın Analyst-aware incident assignment in security operations centers: a multi-factor prioritization and optimization framework(Uğur Şen, 2025-07-15) Kılınçdemir, Eyüp Can; Çeliktaş, BarışIn this paper, we propose a comprehensive and scalable framework for incident assignment and prioritization in Security Operations Centers (SOCs). The proposed model aims to optimize SOC workflows by addressing key operational challenges such as analyst fatigue, alert overload, and inconsistent incident handling. Our framework evaluates each incident using a multi-factor scoring model that incorporates incident severity, service-level agreement (SLA) urgency, incident type, asset criticality, threat intelligence indicators, frequency of repetition, and a correlation score derived from historical incident data. We formalize this evaluation through a set of mathematical functions that compute a dynamic incident score and derive incident complexity. In parallel, analyst profiles are quantified using Analyst Load Factor (ALF) and Experience Match Factor (EMF), two novel metrics that account for both workload distribution and expertise alignment. The incident–analyst matching process is expressed as a constrained optimization problem, where the final assignment score is computed by balancing incident priority with analyst suitability. This formulation enables automated, real-time assignment of incidents to the most appropriate analysts, while ensuring both operational fairness and triage precision. The model is validated using algorithmic pseudocode, scoring tables, and a simplified case study, which illustrates the realworld applicability and decision logic of the framework in large-scale SOC environments. To validate the framework under real-world conditions, an empirical case study was conducted using 10 attack scenarios from the CICIDS2017 benchmark dataset. Overall, our contributions lie in the formalization of a dual-factor analyst scoring scheme and the integration of contextual incident features into an adaptive, rule-based assignment framework. To further strengthen operational value, future work will explore adaptive weighting mechanisms and integration with real-time SIEM pipelines. Additionally, feedback loops and supervised learning models will be incorporated to continuously refine analyst-incident matching and prioritization.Yayın Evaluation of password hashing competition finalists: performance, security, compliance mapping, and post-quantum readiness(Karyay Karadeniz Yayımcılık Ve Organizasyon Ticaret Limited Şirketi, 2025-11-15) Ulutaş, Erdem; Çeliktaş, BarışPassword hashes and key derivation functions (KDFs) are central to authentication and cryptographic security schemes crafted to defend user credentials from brute-force attacks and unauthorized access. Password hashing algorithms, for example PBKDF2, bcrypt, or scrypt, are very popular today, but are lacking in the face of modern hardware acceleration, parallel processing, and advanced cryptanalytic attacks. To contest these shortcomings, the Password Hashing Competition (PHC) was started in 2013 and had 22 candidates for functions for hashing passwords. After thorough evaluation, 9 finalists were selected based on how secure, fast, memory-friendly, flexible, and efficient these functions were. This study evaluates the nine PHC finalists—Argon2, battcrypt, Catena, Lyra2, MAKWA, Parallel, POMELO, Pufferfish, and yescrypt—through survey findings and performance benchmarks. We have evaluated these functions from an architectural standpoint and studied their security features, memory hardness, performance tradeoff, and practical usage. We also compare these finalists with traditional password hashing functions to highlight their advantages and limitations. We also investigate the post-quantum assumption for password hashing – the effectiveness of these functions against quantum assaults, their position in a new cryptography set, and the role of peppering as an additional security measure. In addition, we perform a comprehensive compliance mapping of the PHC finalists against major global standards and regulations such as NIST SP 800-63B, OWASP ASVS, PCI DSS, GDPR, KVKK, and ISO/IEC 27001, highlighting their practical suitability for secure deployment in regulated environments. Finally, we provide usage recommendations for these functions for web authentication, KDFs, and embedded platforms. This paper serves as a reference for researchers, developers, and security engineers, while also introducing a complianceaware, post-quantum-ready framework that bridges cryptographic design with regulatory and deployment needs.Yayın An analysis of enterprise-level cloud transition barriers within the Technology-Organization-Environment (TOE) framework and strategic solution proposals(Gazi Üniversitesi, 2025-10-31) Çeliktaş, Barış; Birgin, Berat; Tok, Mevlüt SerkanEnterprise-level transitions to cloud service providers are frequently delayed or disrupted due to the multilayered nature of technical, organizational, and legal barriers. This study classifies these obstacles within the TechnologyOrganization-Environment (TOE) theoretical framework and provides a comprehensive analysis. Methodologically, a triangulated data source approach was adopted, combining systematic literature review, the 2025 Flexera Cloud Report, and Cloud Adoption Framework (CAF) documentation from major providers such as AWS, Azure, and Google Cloud. Findings indicate that technological barriers particularly cryptographic complexity, cost unpredictability, and weak system integration, are the most dominant. These barriers were visually modeled, and the structural interdependencies among five core cryptographic components (key management, secure computation, algorithm selection, access control, and regulatory compliance) were illustrated through a flow diagram. By aligning FinOps and compliance-oriented solution strategies with the TOE framework, the study offers a strategic roadmap for decision-makers and cloud architects planning cloud adoption. It links conceptual models to applied practices, providing structured support for organizations seeking to mature their cloud strategy.
