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Sedat Akleylek

Researcher at Ondokuz Mayıs University

Publications -  95
Citations -  575

Sedat Akleylek is an academic researcher from Ondokuz Mayıs University. The author has contributed to research in topics: Computer science & Lattice-based cryptography. The author has an hindex of 9, co-authored 76 publications receiving 336 citations. Previous affiliations of Sedat Akleylek include Middle East Technical University & Technische Universität Darmstadt.

Papers
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Journal ArticleDOI

Bi-GISIS KE: Modified key exchange protocol with reusable keys for IoT security

TL;DR: A new bilateral generalization inhomogeneous short integer solution (Bi-GISIS)-based key exchange protocol with reusable key feature for post-quantum IoT security is proposed to reduce the time consumption in the key generation of key exchange protocols to be used in IoT devices.
Book ChapterDOI

An Efficient Lattice-Based Signature Scheme with Provably Secure Instantiation

TL;DR: This paper provides a tight security reduction for the new scheme from the ring learning with errors problem which allows for provably secure and efficient instantiations, and presents experimental results obtained from a software implementation of the scheme.
Proceedings ArticleDOI

A survey on security threats and authentication approaches in wireless sensor networks

TL;DR: Current problems are assessed in the security of wireless sensor networks, and authentication security policies are discussed.
Journal ArticleDOI

A novel permission-based Android malware detection system using feature selection based on linear regression

TL;DR: A machine learning-based malware detection system is proposed to distinguish Android malware from benign applications by using a linear regression-based feature selection approach and the dimension of the feature vector is reduced, the training time is decreased, and the classification model can be used in real-time malware detection systems.
Proceedings ArticleDOI

New results on permission based static analysis for Android malware

TL;DR: In this study, permission based Android malware system is analyzed and permission weight approach is proposed, which has better results than the other ones.