Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Oguzhan Erdem"'
Publikováno v:
2022 7th International Conference on Computer Science and Engineering (UBMK).
Publikováno v:
2019 27th Telecommunications Forum (TELFOR).
Deteriorations in handwriting or in basic shape sketching are one of the most referenced symptoms for early diagnosis of Parkinson’s disease (PD). For this reason, the design of a fair, trustworthy and efficacious Computer-aided Diagnosis (CAD) mod
Autor:
Oguzhan Erdem
Publikováno v:
Computer Networks. 103:143-164
Hierarchical search structures satisfying good memory and update performance demands, are encouraging solution for packet classification in multi-core processors. However, pipelined hardware implementation of these algorithms has two major issues: (1
Autor:
Oguzhan Erdem
Publikováno v:
Computers & Electrical Engineering. 49:117-133
Network intrusion detection systems (NIDSs) monitor Internet Protocol (IP) traffic to detect anomalous and malicious activities on a network. Despite the plethora of studies in this field, hardware-based string matching engines that can accommodate t
Publikováno v:
Computer Networks. 167:106977
Traffic classification is the determination of the application types during real-time flow of internet traffic. Machine learning (ML) based classification approaches that can classify internet traffic using statistical properties of flows are of grea
Publikováno v:
TSP
Speech and voice disorders are one of the most significant biomarkers in early diagnosis of Parkinson's disease (PD). The development of an objective, reliable and effective prediction model is crucial for the early detection of PD by experts. The ai
Publikováno v:
HPSR
Traffic classification process categorizes internet traffic into application classes by exploiting packet header data or collected packet statistics. Real-time internet traffic classification is mostly required for network management and security app
Publikováno v:
ReConFig
Traffic classification is a process which assorts computer network traffic into predefined traffic classes by utilizing packet header information or network packet statistics. Real-time traffic classification is mainly used in network management task
Autor:
Aydin Carus, Oguzhan Erdem
Publikováno v:
Computer Communications. 67:75-91
A packet classification task incorporated in network firewalls to recognize and sift threats or unauthorized network accesses is accomplished by checking incoming packet headers against a pre-defined filter set. Plenty of solutions to reduce the memo
Publikováno v:
Computers & Electrical Engineering. 40:1186-1198
Display Omitted We proposed two compact data structures for Internet Protocol (IP) lookup.The node size variety leads to the memory inefficiency in hardware implementations.Compact Trie Forest (CTF) uses multiple disjoint pipelines to solve the probl