Detaylı Arama
İptal
Bulunan: 5 Adet 0.001 sn
- Eklemek veya çıkarmak istediğiniz kriterleriniz için 'Dahil' / 'Hariç' seçeneğini kullanabilirsiniz. Sorgu satırları birbirine 'VE' bağlacı ile bağlıdır.
- İptal tuşuna basarak normal aramaya dönebilirsiniz.
Filtreler
Filtreler
Bulunan: 5 Adet 0.001 sn
Yayın Tarihi : 2017 ✕Yazar/lar : ÖZTOPRAK, Kasım ✕
İlgili Araştırmacılar [6]
Ambargo Durumu [1]
Tam Metin [1]
Yayın Türü [1]
Yazar/lar [9]
Atıf Dizini [1]
Konu Başlıkları [10]
Yayıncı [2]
Yayın Tarihi [1]
Yayın Dili [1]
Erişime Açık

A Hybrid Asymmetric Traffic Classifier For Deep Packet Inspection Systems With Route Asymmetry

ÖZTOPRAK, Kasım | YAZICI, Mehmet Akif

A flow is said to be asymmetrically routed if its packets follow separate paths for forward and reverse directions. Routing asymmetry leads to problems in flow identification, policy enforcement, quota management, traffic shaping etc. in DPI systems. There are two existing approaches to battle routing asymmetry: clustering and state sharing. The latter fails with stateless traffic, while clustering leads to large traffic overhead. We propose the Hybrid Asymmetric Traffic Classifier (HATC) method that merges the best aspects of the two existing methods. HATC is able to handle all types of asymm ...Daha fazlası

Konferans Bildirisi 2017 Institute of Electrical and Electronics Engineers Inc. 4 Görüntülenme
Erişime Açık

SpEnD portal: Linked data discovery using SPARQL endpoints

YUMUŞAK, Semih | ARAS, Rıza Emre | UYSAL, Elif | DOĞDU, Erdoğan | KODAZ, Halife | ÖZTOPRAK, Kasım

We present the project SpEnD, a complete SPARQL endpoint discovery and analysis portal. In a previous study, the SPARQL endpoint discovery and analysis steps of the SpEnD system were explained in detail. In the SpEnD portal, the SPARQL endpoints are extracted from the web by using web crawling techniques, monitored and analyzed by live querying the endpoints systematically. After many sustainability improvements in the SpEnD project, the SpEnD system is now online as a portal. SpEnD portal currently serves 1487 SPARQL endpoints, out of which 911 endpoints are uniquely found by SpEnD only when ...Daha fazlası

Konferans Bildirisi 2017 Institute of Electrical and Electronics Engineers Inc. 5 Görüntülenme
Erişime Açık

Network Security Scoring

KAÇAR, Mustafa Sami | ÖZTOPRAK, Kasım

Network Security is one of the most critical issues of establishments like universities, govermental and private institutions which have significant role on development and security of a state. These establishments use internet to share and keep official information, and to make their institutive operations. A cyber attack that targetted such establishments networks may cause a great loss. Therefore, networks of these establishments ought to protect on a high level security. In this paper, a system is offered which is able to investigate networks of institutions and ranking their network by pr ...Daha fazlası

Konferans Bildirisi 2017 Institute of Electrical and Electronics Engineers Inc. 2 Görüntülenme
Erişime Açık

Topic Distribution Constant Diameter Overlay Design Algorithm (TD-CD-ODA)

ÖZTOPRAK, Kasım | LAYAZALI, Sina | DOĞDU, Erdoğan

Publish/subscribe communication systems, where nodes subscribe to many different topics of interest, are becoming increasingly more common in application domains such as social networks, Internet of Things, etc. Designing overlay networks that connect the nodes subscribed to each distinct topic is hence a fundamental problem in these systems. For scalability and efficiency, it is important to keep the maximum node degree of the overlay in the publish/subscribe system low. Ideally one would like to be able not only to keep the maximum node degree of the overlay low, but also to ensure that the ...Daha fazlası

Konferans Bildirisi 2017 Institute of Electrical and Electronics Engineers Inc. 3 Görüntülenme
Erişime Açık

Sentiment analysis for the social media: A case study for Turkish general elections

UYSAL, Elif | YUMUŞAK, Semih | ÖZTOPRAK, Kasım | DOĞDU, Erdoğan

The ideas expressed in social media are not always compliant with natural language rules, and the mood and emotion indicators are mostly highlighted by emoticons and emotion specic keywords. There are language independent emotion keywords (e.g. love, hate, good, bad), besides every language has its own particular emotion specific keywords. These keywords can be used for polarity analysis for a particular sentence. In this study, we first created a Turkish dictionary containing emotion specific keywords. Then, we used this dictionary to detect the polarity of tweets that are collected by queryi ...Daha fazlası

Konferans Bildirisi 2017 Association for Computing Machinery, Inc 3 Görüntülenme
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