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Start Over Topic 020207 software engineering Language turkish
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1. Malware Detection System Based on Machine Learning Methods for Android Operating Systems

Author

Anil Utku and Ibrahim Alper Dogru

Subjects
Artificial neural network, business.industry, Computer science, 020207 software engineering, 02 engineering and technology, Permission, Computer security, computer.software_genre, Machine learning, Mobile malware, Support vector machine, Application security, Android malware, 0202 electrical engineering, electronic engineering, information engineering, Operating system, Malware, 020201 artificial intelligence & image processing, Artificial intelligence, Android (operating system), business, computer, Mobile device
Abstract

Mobile devices begin to spread increasingly recently to offer a lot of services which personal computers offer. This condition has led to increase in the number of security threats in mobile devices and services. In this paper, it has been made a research on mobile malware and malware detection techniques. Within the scope of the study, a a permission based detection system based on the machine learning methods for Android malware was developed. Developed system is analyzed by using Random Forest, Support Vector Machine and Artificial Neural Networks algorithms.

Published
2017

2. A Review on Real-time Big Data Analysis in Remote Sensing Applications

Author

Muhammet Unal and Mustafa Kemal Pekturk

Subjects
business.industry, Computer science, Remote sensing application, Real-time computing, Big data, 020207 software engineering, Cloud computing, 02 engineering and technology, computer.software_genre, Supercomputer, Remote sensing (archaeology), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Data mining, business, computer
Abstract

Thanks to the new technologies of remote sensors, remote sensor data which increases in size exponentially and transforms to big data with increasing spatial and spectral resolutions causes great difficulties in storage, transportation and processing. It has become a necessity to implement parallel approaches instead of traditional methods, which are inadequate in critical applications when real/near real-time analysis of relevant large data is needed. In this paper, high performance computing approaches such as Multi-core, FPGA, GPU, Cluster and Cloud Computing are investigated for real / near real-time large data analysis in remote sensing applications.

Published
2017

3. İskelet Kritik Noktaları ile Şekil Sınıflandırma

Author

M. Fatih Demirci, S. Arda Boluk, TOBB ETU, Faculty of Engineering, Department of Computer Engineering, TOBB ETÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, and Demirci, Muhammed Fatih

Subjects
Straight skeleton, shape matching, orta eksen çizgesi, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020207 software engineering, 02 engineering and technology, medial axis graph, şekil eşleme, Topology, Şekil tanıma, Earth Mover's Distance, Medial axis, Active shape model, Histogram, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Topological skeleton, Shape retrieval, toprak taşıyıcı mesafesi, Principal geodesic analysis, Beta skeleton, ComputingMethodologies_COMPUTERGRAPHICS, Shape analysis (digital geometry), Mathematics
Abstract

24th Signal Processing and Communication Application Conference (SIU) (2016 : Zonguldak, Turkey ), In this paper, we presented a novel shape recognition framework based on medial axis graph. After extracting medial axis graph of a shape, we constructed a multi-dimensional distribution by calculating distances of each branch node to all other branch nodes in the graph. Then similarity rates between these distributions is found by using a transportation-based distance function. Finally, we compared our results with results of similar works conducted in the past., Bu bildiride, orta eksen çizgeleri (medial axis graph) kullanılarak şekil tanıma alanında yeni bir yaklaşım sunulmaktadır. İskeletleri çıkartılan şekillerin çizgelerinde, tüm kritik noktaların diger kritik noktalara olan en kısa yol uzaklığı hesaplanarak her bir şekil için çok boyutlu bir dagılım oluşturulmuştur. Önerilen şekil tanıma platformunda bu dagılımlar üzerinde taşıma tabanlı bir uzaklık fonksiyonu kullanılarak şekiller arasındaki benzerlik oranı bulunmuştur. Son olarak alınan sonuçlar daha önceden yapılmış benzer çalışmaların sonuçlarıyla karşılaştırılarak önerilen yaklaşımın başarımı gösterilmiştir.

Published
2016