Výsledky vyhledávání - "Okutan, Ahmet"

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A Novel Approach to Identify Security Controls in Source Code

Autor: Okutan, Ahmet, Shokri, Ali, Koscinski, Viktoria, Fazelinia, Mohamad, Mirakhorli, Mehdi

Secure by Design has become the mainstream development approach ensuring that software systems are not vulnerable to cyberattacks. Architectural security controls need to be carefully monitored over the software development life cycle to avoid critic

Externí odkaz: http://arxiv.org/abs/2307.05605

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Supporting AI/ML Security Workers through an Adversarial Techniques, Tools, and Common Knowledge (AI/ML ATT&CK) Framework

Autor: Fazelnia, Mohamad, Okutan, Ahmet, Mirakhorli, Mehdi

This paper focuses on supporting AI/ML Security Workers -- professionals involved in the development and deployment of secure AI-enabled software systems. It presents AI/ML Adversarial Techniques, Tools, and Common Knowledge (AI/ML ATT&CK) framework

Externí odkaz: http://arxiv.org/abs/2211.05075

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A Grounded Theory Based Approach to Characterize Software Attack Surfaces

Autor: Moshtari, Sara, Okutan, Ahmet, Mirakhorli, Mehdi

The notion of Attack Surface refers to the critical points on the boundary of a software system which are accessible from outside or contain valuable content for attackers. The ability to identify attack surface components of software system has a si

Externí odkaz: http://arxiv.org/abs/2112.01635

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Near Real-time Learning and Extraction of Attack Models from Intrusion Alerts

Autor: Yang, Shanchieh Jay, Okutan, Ahmet, Werner, Gordon, Su, Shao-Hsuan, Goel, Ayush, Cahill, Nathan D.

Critical and sophisticated cyberattacks often take multitudes of reconnaissance, exploitations, and obfuscation techniques to penetrate through well protected enterprise networks. The discovery and detection of attacks, though needing continuous effo

Externí odkaz: http://arxiv.org/abs/2103.13902

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Use of Source Code Similarity Metrics in Software Defect Prediction

Autor: Okutan, Ahmet

In recent years, defect prediction has received a great deal of attention in the empirical software engineering world. Predicting software defects before the maintenance phase is very important not only to decrease the maintenance costs but also incr

Externí odkaz: http://arxiv.org/abs/1808.10033

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Forecasting Cyber Attacks with Imbalanced Data Sets and Different Time Granularities

Autor: Okutan, Ahmet, Yang, Shanchieh Jay, McConky, Katie

If cyber incidents are predicted a reasonable amount of time before they occur, defensive actions to prevent their destructive effects could be planned. Unfortunately, most of the time we do not have enough observables of the malicious activities bef

Externí odkaz: http://arxiv.org/abs/1803.09560

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