A LDDoS-Aware Energy-Efficient Multipathing Scheme for Mobile Cloud Computing Systems

Cao, Yuanlong; Song, Fei; Liu, Qinghua; Huang, Minghe; Wang, Hao; You, Ilsun

doi:10.1109/access.2017.2731899

Cited by 29 publications

(28 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, many researchers have attempted to employ a cross-layer concept to solve some of the problems that may result from CMT [21][22][23][24][25]. Cao et al [21] presented an innovative cross-layer QoS-aware adaptive CMT (CMT-CQA) to satisfy three requirements: identification of wireless errors, mitigation of buffer blocking problems, and efficient bandwidth aggregation. CMT-CQA was able to aggregate bandwidth by considering multiple factors, depict a suitable multimedia delivery strategy, and take on a reinforced fast recovery scheme.…”

Section: Related Workmentioning

confidence: 99%

Loss-Aware CMT-Based Multipathing Scheme for Efficient Data Delivery to Heterogeneous Wireless Networks

Qing-hua

Liu

et al. 2019

International Journal of Digital Multimedia Broadcasting

Self Cite

View full text Add to dashboard Cite

With the rapid development of wireless networks, multiple network interfaces are gradually being designed into more and more mobile devices. When it comes to data delivery, Stream Control Transmission Protocol (SCTP)-based Concurrent Multipath Transfer (CMT) has proven to be quite useful solution for multiple home networks, and it could become the key transport protocol for the next generation of wireless communications. The CMT delay caused by data rearrangement has been noticed by researchers, but they have seldom considered the frequent occurrence of packet loss that occurs in the high-loss networks. In this paper, we proposed an original loss-aware solution for multipath concurrent transmission (CMT-LA) that achieves the following goals: (1) identifying packet loss on all paths, (2) distributing packets adaptively across multiple available paths according to their packet loss and loss variation, and (3) maintaining the features of bandwidth aggregation and parallel transmission of CMT while improving the throughput performance. The results of our simulations showed that the proposed CMT-LA reduces reordering delay and unnecessary fast retransmissions, thereby demonstrating that CMT-LA is a more efficient data delivery scheme than classic CMT.

show abstract

Section: Related Workmentioning

confidence: 99%

Loss-Aware CMT-Based Multipathing Scheme for Efficient Data Delivery to Heterogeneous Wireless Networks

Qing-hua

Liu

et al. 2019

International Journal of Digital Multimedia Broadcasting

Self Cite

View full text Add to dashboard Cite

show abstract

“…Recent years have seen the increasing attention in the field of multipath communications that utilize multiple paths in parallel and split traffic for load balancing [13][14][15][16] and for avoiding DDoS attack in MCC [12]. It seems obvious that using multipath communications could generally increase the available bandwidth for applications [17].…”

Section: Related Workmentioning

confidence: 99%

“…More importantly, they can bring enhancements to the connection persistence, reliability, and fault tolerance, e.g., [18,19]. They have been found to be useful in many scenario such as communication security in MCC [12], fault-aware resource allocation [20], high-availability virtual communication [21], connection management for identifier-based network [22], and edge computing for vehicular networks [23].…”

Section: Related Workmentioning

confidence: 99%

“…Among these schemes, concurrent multipath routing schemes where paths for a source-destination pair do not share any common links gain a lot of attention. As shown in Figure 1 (a copy from [12]), in MCC systems each mobile device is multihomed through the promising multipath technologies, such as MPTCP and SCTP. There are multiple paths between each pair of mobile user and the server.…”

Section: Multipath Communications In MCCmentioning

confidence: 99%

“…In MCC systems or fog computing for mobile applications (e.g., [11]), each mobile device can be multihomed, so as to improve its throughput by allocating the application data over several paths simultaneously, which is known as multipath communications enabled by the promising multipath transmission technologies [12]. Generally, multipath 2 Wireless Communications and Mobile Computing communications can be classified into two types.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reliability Analysis for Multipath Communications in Mobile Cloud Computing Architectures

Sun

Zhang

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Mobile cloud computing (MCC) has gained much attention from both academia and industry in recent years. It can support new types of services, such as m-commerce, m-learning, and mobile healthcare, and enrich mobile users' experience and satisfaction by taking full advantage of cloud computing. In MCC architectures multipath communications can be achieved with multihomed mobile devices, so as to utilize multiple paths for data transmission in parallel. They can achieve better utilization of bandwidth resource, split traffic for load balancing, and enhance reliability, fault tolerance, and robustness for applications. However, little attention has been paid to model the reliability of multipath communications in case of path failure. In this paper we investigate the reliability of concurrent multipath communications in MCC architectures and propose two reliability models when paths are failure. One is for static path failure where the failed paths cannot recover for communication in some delay time. The other is for dynamic path failure where the failed paths can recover in some delay time. Finally, numerical results are given to illustrate the reliability of multipath communications.

show abstract

Detection of distributed denial of service attack using enhanced adaptive deep dilated ensemble with hybrid meta‐heuristic approach

Aliar,

Gowri,

Abins

2024

Trans Emerging Tel Tech

View full text Add to dashboard Cite

The biggest firms throughout the world now are the ones that offer services in the cloud. One of the top problems for cloud users (CUs) and cloud service providers (CSPs) is the availability of cloud‐based services whenever needed. A distributed denial of service (DDoS) assault has been a significant threat to the security of the system in recent years. DDoS defense and detection of these attacks have become hot topics of research for academia and business. However, most approaches cannot accomplish efficient detection outcomes with few false alarms. As a result, minimizing the consequences of DDoS attacks allows CSPs to offer CUs high‐quality services. In the cloud sector, a collective deep structured algorithm is suggested to identify DDoS attacks successfully. The recommended method contains several stages: data acquisition, pre‐processing, optimal feature detection, and selection. The first step is the acquisition of data using the help of publicly available sources. Further, the input data undergoes preprocessing. Consequently, the optimal weighted feature selection takes place on the preprocessed data, where the optimization is done with the aid of the Hybrid Border Collie and Dragonfly Algorithm (HBCDA). Finally, DDoS attack detection is achieved via a novel method known as adaptive deep dilated ensemble (ADDE), which includes, one‐dimensional convolutional neural network (1DCNN), deep temporal convolutional neural network (DTCNN), recurrent neural network (RNN), and bidirectional long short‐term memory (Bi‐LSTM). For the attainment of optimal results, the parameter tuning is accomplished by using the HBCDA approach. The detection outcome is computed by using the fuzzy ranking mechanism. The validation is done for the suggested method model, and its corresponding findings are validated with conventional techniques. Hence, the suggested approach outperforms the detection performance and ensures more efficiency than traditional approaches.

show abstract

A LDDoS-Aware Energy-Efficient Multipathing Scheme for Mobile Cloud Computing Systems

Cited by 29 publications

References 35 publications

Loss-Aware CMT-Based Multipathing Scheme for Efficient Data Delivery to Heterogeneous Wireless Networks

Loss-Aware CMT-Based Multipathing Scheme for Efficient Data Delivery to Heterogeneous Wireless Networks

Reliability Analysis for Multipath Communications in Mobile Cloud Computing Architectures

Detection of distributed denial of service attack using enhanced adaptive deep dilated ensemble with hybrid meta‐heuristic approach

Contact Info

Product

Resources

About