Delay Analysis for Wireless Networks With Single Hop Traffic and General Interference Constraints

Gupta, Gagan; Shroff, Ness B.

doi:10.1109/tnet.2009.2032181

Cited by 54 publications

(54 citation statements)

References 22 publications

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“…Kim et al (2010), the author concerned in reducing the delay and enhancing the life span of the WSN for which procedures occur occasionally. A group of wireless networks with common intrusion constraints on the links that can be provided concurrently at specified time (Gupta and Shroff, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Detecting Multiple Intrusion Attacks Using Permanent Girth Clustering Model in Wireless Sensor Network

Jayamurugan¹

2014

Journal of Computer Science

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Security is the central challenge and one of the serious concerns for designing reliable sensor networks. Of the different types of security threats in wireless sensor network, particularly dangerous attack is the replica node attack, in which the opponent takes the secret keying materials from a compromised node. It then produces large number of attacker-controlled replicas that divide up the cooperation node's keying materials and ID. In this study we are specifically interested in investigating the extremely difficult problem concerning multiple attacks being routed in parallel with a given utility field and see if significant hypothetical solutions could be drawn. A clustering model for discovering multiple intrusions in WSN is identified. Permanent-girth Clustering (PC) model used to detect abnormal traffic patterns and then uses PC model to built the normal traffic behavior. In this study we develop mechanisms so that the PC model is capable to distinguish attacks. Furthermore, the detection scheme is based on position of traffic features that potentially are practical to an extensive variety of routing attacks. In order to approximate intrusion detection scheme, extensive sensor network simulator producing routing attacks in wireless sensor networks is designed. PC model for intrusion detection is capable to attain high detection accuracy with a low false positive rate for a multiplicity of replicated routing attacks. NS2 simulator is used to perform the experimental work of PC model on wireless sensor network. The experimental evaluation of PC model is measured in terms of average delay measurement, energy consumption and low false positive rate.

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Section: Literature Reviewmentioning

confidence: 99%

Detecting Multiple Intrusion Attacks Using Permanent Girth Clustering Model in Wireless Sensor Network

Jayamurugan¹

2014

Journal of Computer Science

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“…There are three types of MAC 802.11 frames, data, control and management (Gupta and Shroff, 2010). The wireless IDS is unique in that it detects attacks against the 802.11 frame at layer two of the wireless network.…”

Section: Related Workmentioning

confidence: 99%

“…This wireless interface must be in monitor mode, the operator also known as RFMON mode, this mode is similar to promiscuous mode for installation materials and the device can accept incoming traffic (Gupta and Shroff, 2010). Another important aspect of wireless IDS is that the monitoring interfaces between the 12 channels available to wireless networks.…”

Section: Related Workmentioning

confidence: 99%

Efficient Hybrid Network (Wired and Wireless) Intrusion Detection using Statistical Data Streams and Detection of Clustered Alerts

Thangavel¹

2011

Journal of Computer Science

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Problem statement: Wireless LAN IEEE 802.11 protocols are growing rapidly and security has always been a concern with the security of wired network. Wireless networks encountered threats from unauthorized access to network resources, installation of access points and illegal sniffing (refer as classical intrusion threats). In its current hybrid wired and wireless network attacks on the generally distinguish from normal cable intrusion attacks, selective forwarding attacks, MAC spoofing attacks. This means that the simple traditional misuse detection and anomaly detection model alone not sufficient to identify these mixed attacks on the hybrid network (wired and wireless). Approach: Our proposed work presents a hybrid cluster-based intrusion detection statistical anomaly, for detecting selective forwarding in wireless networks and intrusion into traditional wired networks. The detection was identified by changes in the statistical characteristics of data traffic on the wireless network. The clustering of data traffic based on the characteristics of alert classes and normal classes improve the performance of our hybrid intrusion detection in both wired and wireless network efficiently. The simulation was performed to evaluate the performance of wired intrusion detection systems to the proposed wireless intrusion detection on the data traffic in the area of wired and wireless hybrid network environment. Results: The proposed wireless intrusion detection system sharply detect the statistical change point detection of intrusion behavior in terms of attack rate and throughput of data traffic. The probability of intrusion attack and detection delay were measured in the simulation scenario, the result is 17% better than the current part of the exiting wired intrusion detection. Conclusion: The proposed anomaly intrusion traffic detection scheme performs better in heterogametic hybrid network (i.e., wired and wireless) compared to that of conventional homogeneous intrusion detection network models.

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“…In a contemporary but independent work, Gupta and Shroff [5], [6] have recently upper bounded the expected delay for a different version of the MWS algorithm, where the the queuelength Q i for any link i is weighted by w i = 1 µi−λi while computing the maximum weighted schedule (independent set). The delay bound is expressed in terms of the additional parameters (µ i , i = 1, .…”

Section: Upper Bounds On Expected Delaymentioning

confidence: 99%

“…In a contemporary but independent work, Gupta and Shroff [6] have obtained lower bounds for delays for arbitrary policies in arbitrary networks. Since our goal has been to show the tightness of the upper bounds for MWS and RS, we have focused on specific classes of networks.…”

Section: Proof Of Theoremmentioning

confidence: 99%

Delay Guarantees for Throughput-Optimal Wireless Link Scheduling

2009

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Abstract-We consider the question of obtaining tight delay guarantees for throughout-optimal link scheduling in arbitrary topology wireless ad-hoc networks. Two classes of scheduling policies are considered: 1) a maximum queue-length weighted independent set scheduling policy, 2) a randomized independent set scheduling policy where the set scheduling probabilities are selected optimally. Both policies stabilize all queues for any set of feasible packet arrival rates, and are therefore throughputoptimal. For these policies, we show that the average packet delay is bounded by a constant that depends on the chromatic number of the interference graph, and the arrival slack in the system -a metric representing the overall load on the network. We prove that this upper bound is asymptotically tight in the sense that there exist classes of topologies where the expected delay attained by any scheduling policy is lower bounded by the same constant. We extend our upper bounds to the case of multi-hop sessions. Through simulations, we study how our analysis compares with actual delays computed for i.i.d., Markovian and trace-driven packet arrival processes.

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Delay Analysis for Wireless Networks With Single Hop Traffic and General Interference Constraints

Cited by 54 publications

References 22 publications

Detecting Multiple Intrusion Attacks Using Permanent Girth Clustering Model in Wireless Sensor Network

Detecting Multiple Intrusion Attacks Using Permanent Girth Clustering Model in Wireless Sensor Network

Efficient Hybrid Network (Wired and Wireless) Intrusion Detection using Statistical Data Streams and Detection of Clustered Alerts

Delay Guarantees for Throughput-Optimal Wireless Link Scheduling

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