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Lightweight application classification for network management
2007
Proceedings of the 2007 SIGCOMM workshop on Internet network management - INM '07
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In this context we explore the feasibility and performance of lightweight traffic classification based on NetFlow records. ...
This provides us with NetFlow records that are tagged with a high accuracy for ground-truth. Our experiments show that NetFlow records can be usefully employed for application classification. ...
Acknowledgments The authors thank Wei Li and Awais Awan for providing technical input and Ralphe Neill for reading over an early draft of this work. ...
doi:10.1145/1321753.1321771
fatcat:cs2mi6oztrhfzfnhptqensrhjq
Machine learning based lightweight interference mitigation scheme for wireless sensor network
2020
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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In this paper, a machine learning (ML) based lightweight interference mitigation scheme for WSN is proposed. ...
It also provides WSN an adaptive interference mitigation solution by helping to choose packet scheduling, Acknowledgement (ACK)-retransmission or channel switching as the best countermeasure. ...
Under heavy data traffic, the duty cycle for WiFi exceeds this value. ...
doi:10.12928/telkomnika.v18i4.14879
fatcat:zr7ihw4xpzbrfinlt4e4jzd2rm
Network traffic classification techniques and challenges
2015
2015 Tenth International Conference on Digital Information Management (ICDIM)
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If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. ...
And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections. ...
; and • Application developers continue to invent new ways to prevent traffic being filtered and detected. ...
doi:10.1109/icdim.2015.7381869
dblp:conf/icdim/KhaterO15
fatcat:tjabveqzgjaevbrdwqmhrt6gpy
A programmable SDN+NFV-based architecture for UAV telemetry monitoring
2017
2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC)
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In this paper, we present a novel, lightweight and modular architecture which supports high mobility and situational-awareness through the application of Software Defined Networking (SDN) and Network Function ...
As UAVs migrate among ground control stations, associated network services, routing and operational control must also rapidly migrate to ensure a seamless transition. ...
By placing detection nearer the UAV, anomalies are detected 'locally', without the need to route traffic over high latency links. c) Increased situation-awareness: Operators can deploy context-specific ...
doi:10.1109/ccnc.2017.7983162
dblp:conf/ccnc/WhiteDKMP17
fatcat:mvtfdoo3qjhxzaqsbmzzksafna
Survey of Prevention Techniques for Denial Service Attacks (DoS) in Wireless Sensor Network
2016
International Journal of Science and Research (IJSR)
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Different techniques are used for detection and avoidance of DOS attack such as packet leash, lightweight Secure Mechanism, spread spectrum and energy weight monitoring scheme (EMWA) but DOS attack cannot ...
Various applications such as continuous connectivity, weather monitoring, industry and instantly -deployable communication for first responders and armed. ...
Then test field is check for each node. if the test field is correct then normal operation is continue and if the test field is wrong then create an alarm packet. ...
doi:10.21275/v5i3.nov162074
fatcat:j2zuxgt4gzg25pfbwlgtmuwnny
A Real Time Priority Based Scheduler for Low Rate Wireless Sensor Networks
2017
International Journal of Computer Networks & Communications
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This paper aims to presents the new priority-based algorithm at actuator node for appropriate classification and categorization of data packets for delay sensitive and delaytolerant applications. ...
The high priority transient traffic suffers less delay and presents effective packet delivery ratio compared with traditional approaches. ...
ACKNOWLEDGEMENTS The paper authors would like to take an opportunity to thank all reviewers for their valuable time for model discussion and constructive comments. ...
doi:10.5121/ijcnc.2017.9306
fatcat:ylxix27mtbfkpjf4eey6idzofi
Flow-Aware Elephant Flow Detection for Software-Defined Networks
2020
IEEE Access
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Traffic classification, particularly for elephant flow detection, can lead to improved flow control and resource provisioning in SDN networks. ...
Software-defined networking (SDN) separates the network control plane from the packet forwarding plane, which provides comprehensive network-state visibility for better network management and resilience ...
For example, in terms of traffic classification, Wang et al. ...
doi:10.1109/access.2020.2987977
fatcat:4l7xkadzwra5bbkh6lbu6qmuqi
Traffic Adaptive MAC Protocols in Wireless Body Area Networks
2017
Wireless Communications and Mobile Computing
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In Wireless Body Area Networks (WBANs), every healthcare application that is based on physical sensors is responsible for monitoring the vital signs data of patient. ...
Furthermore, a comparative analysis of the protocols is made and their performances are analyzed in terms of delay, packet delivery ratio (PDR), and energy consumption. ...
The traffic classification is required for traffic adaptive MAC protocols based on delay and packet delivery ratio. ...
doi:10.1155/2017/8267162
fatcat:ly6fmrppkzgsponkyfbuuuifgu
A Study on Power Aware Routing Schemes in Mobile Ad-hoc Networks
English
2015
International Journal of Innovative Research in Computer and Communication Engineering
English
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Due to energy constraint the power aware routing schemes for mobile ad hoc networks has been developed for increasing network life time by isolating low power nodes from the routing process. ...
The power aware routing schemes are classified on the basis of approaches they use to minimize the energy consumption. ...
Classification of Routing Protocols in MANET's [20] III. A STUDY ON POWER AWARE ROUTING SCHEMES In wireless Ad-hoc networks, nodes relay packets using multi-hop links. ...
doi:10.15680/ijircce.2015.0306020
fatcat:62du6hve3ndsng2uxczwzns6hq
QoS-aware MAC protocols for wireless sensor networks: A survey
2011
Computer Networks
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We explore QoS challenges and perspectives for wireless sensor networks, survey the QoS mechanisms and classify the state of the art QoS-aware MAC protocols together with discussing their advantages and ...
However, providing QoS support is a challenging issue due to highly resource constrained nature of sensor nodes, unreliable wireless links and harsh operation environments. ...
Comparison and classification of the existing QoS-aware MAC protocols for WSNs will conclude this section. ...
doi:10.1016/j.comnet.2011.02.007
fatcat:oepcdvdeqrdbrkxdkmetyhfrru
High Performance Network Security Using NIDS Approach
2014
International Journal of Information Technology and Computer Science
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Intrusion detection for network security demands high performance. ...
This paper gives a description of the available approaches for a network intrusion detection system in both software and hardware implementation. ...
Snort can be configured to operate in three modes [8] : Sniffer mode (reads the packets off the network and displays them in a continuous stream on the console), Packet logger mode (logs packets to the ...
doi:10.5815/ijitcs.2014.07.07
fatcat:eeky7tazxnhfljqcpecqdsoary
Application-Aware Firewall Mechanism for Software Defined Networks
2020
Journal of Network and Systems Management
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In this paper, we propose the application-aware firewall mechanism for SDN, which can be implemented as an extension to the network's controller. ...
Due to the lack of high-level traffic identifiers, it is not possible to directly and consistently specify policies for all flows belonging to a specific application or to define policies for specific ...
Application-Aware and Traffic Classification Solutions in SDN Previous efforts to classify the network traffic to provide application-aware solutions for SDN networks have been investigated in several ...
doi:10.1007/s10922-020-09518-z
fatcat:n5btbzwym5gijmadnjkvezzi6i
Efficient memory layout for packet classification system on multi-core architecture
2012
2012 IEEE Global Communications Conference (GLOBECOM)
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Bakken for serving on my committee. ...
I highly appreciate their time for the discussion on several occasions about my research and for providing me the relevant reading materials which really helped me to understand the insight of theories ...
performance can be improved by exploiting the locality in the traffic pattern.We designed npf [36] , a lightweight traffic-aware packet classification system that achieves superior average performance ...
doi:10.1109/glocom.2012.6503501
dblp:conf/globecom/ShaikotK12
fatcat:xk7ua5ldpbfsxghuuzb63tvtsq
GBC-TD: Gateway Based Congestion and Traffic Distribution Model for Load Sharing in WMN
2014
IOSR Journal of Computer Engineering
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Mainly these gateway nodes are having the maximum traffic flows due to their central locations and bridge functionality, also the traffic distribution is uneven at those gateways. ...
This paper proposes a novel GBC-TD (Gateway Based Congestion and Traffic Distribution) model from overcoming the above issues of gateway selection problem by using a load balancer through relaying information ...
Examples of those approaches are: Load-Aware On-Demand Routing (LAOR), Associatively Based Routing (ABR), Load Balanced Ad Hoc Routing (LBAR), Traffic-Size Aware (TSA) scheme, Content Sensitive Load Aware ...
doi:10.9790/0661-162126772
fatcat:v3ts3i4xpfhp3ikxphy4sstupu
SparseIDS: Learning Packet Sampling with Reinforcement Learning
[article]
2020
arXiv
pre-print
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Comparing to various other sampling techniques, SparseIDS consistently achieves higher classification accuracy by learning to sample only relevant packets. ...
We show that by using a novel Reinforcement Learning (RL)-based approach called SparseIDS, we can reduce the number of consumed packets by more than three fourths while keeping classification accuracy ...
ACKNOWLEDGEMENTS The Titan Xp used for this research was donated by the NVIDIA Corporation. ...
arXiv:2002.03872v3
fatcat:ukjuqqjafje7hdugupiqbofrey
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