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New data integrity scheme employing wavelet-based digital watermarking in cloud environment

New data integrity scheme employing wavelet-based digital wa...

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International Conference on Computer Science and Network Technology (ICCSNT)

作者： Salah H. Abbdal Hai Jin Ali A. Yassin Zaid Ameen Abduljabbar Mohammed Abdulridha Hussain Zaid Alaa Hussien Deqing Zou Cluster and Grid Computing Laboratory Huazhong University of Science and Technology Wuhan China University of Basrah Basrah Iraq Southern Technical University Basrah Iraq

The cloud is an on-demand service provided to users through the Internet. Security has become one of the key problems in the cloud because of the increasing number of users. Many challenges in cloud security need to be resolved. This work focuses on data integrity as one of these security challenges because when users remotely save their data in a cloud, they lose their control on them. Many researchers have presented solutions and developed security frameworks. However, to date, no guarantee has been established with regard to the retention of stored data in a cloud. A novel and unique data integrity scheme employing wavelet-based digital watermarking is developed in this paper. A parallel pre-processing technique is presented to obtain metadata by selecting a set of discrete wavelet transform coefficients and then securely embedding them with user's file data blocks. We employ wavelet-based digital watermarking to produce metadata for the development of a secure scheme of data storage and verification in a cloud. As a result, digital watermarking is a strong technique that effectively prevents stored data from being intercepted and properly detects data tampering. The proposed scheme can support data dynamics because the cloud user needs to manipulate his or her data. This scheme is sufficiently robust to introduce a good starting point for data integrity in the cloud environment.

关键词： Watermarking Cloud computing Metadata Discrete wavelet transforms Cryptography

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An Efficient Public Verifiability and Data Integrity Using Multiple TPAs in Cloud Data Storage

An Efficient Public Verifiability and Data Integrity Using M...

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IEEE International Conference on Big Data Security on Cloud (BigDataSecurity), High Performance and Smart computing (HPSC) and Intelligent Data and Security (IDS)

Cloud computing is a novel paradigm in informationtechnology. This approach involves methods that forwardservices to users on demand via pay-as-you-go. Cloud computingcan reduce computation and communication costs, and thisadvantage has resulted in the influx of cloud computing users. Cloud storage, which allows users to remotely outsource theirdata to the cloud, is considered a major cloud computing service. However, this form of storage introduces new security challenges, such as unreliable service providers. Data storage correctness isanother challenge that should be addressed before this modernstorage model can be extensively applied. Most proposed schemesfor data integrity verification use a third party auditor, specificallya single third party auditor. However, a single third party auditormay become a bottleneck in the overall system operation andmay degrade system performance because thousands of usersmay delegate their tasks to a single third party auditor. In this paper, we propose a new scheme for securing dataintegrity via a multiple third party auditors based mutual authenticationto overcome the aforementioned limitations and ensurehigh-level security. We suggest a remote data storage correctnesschecking scheme based on homomorphic linear authenticationand an elliptic curve digital signature algorithm to support publicverifiability. Our proposed scheme uses a Merkle hash tree at thecloud server to store data, thereby enabling rapid data access. Finally, our proposed scheme identifies misbehaving servers andverifies data storage correctness.

关键词： Cloud computing Memory Servers Authentication Metadata Digital signatures

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λGrapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing 24

λGrapher: A Resource-Efficient Serverless System for GNN Se...

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33rd ACM Web Conference, WWW 2024

作者： Hu, Haichuan Liu, Fangming Pei, Qiangyu Yuan, Yongjie Xu, Zichen Wang, Lin National Engineering Research Center for Big Data Technology and System The Services Computing Technology and System Lab Cluster and Grid Computing Lab in the School of Computer Science and Technology Huazhong University of Science and Technology 1037 Luoyu Road Wuhan China Peng Cheng Laboratory Huazhong University of Science and Technology China School of Mathematics and Computer Science Nanchang University China Paderborn University Paderborn Germany

ISBN: (纸本)9798400701719

Graph Neural Networks (GNNs) have been increasingly adopted for graph analysis in web applications such as social networks. Yet, efficient GNN serving remains a critical challenge due to high workload fluctuations and intricate GNN operations. Serverless computing, thanks to its flexibility and agility, offers on-demand serving of GNN inference requests. Alas, the request-centric serverless model is still too coarse-grained to avoid resource waste. Observing the significant data locality in computation graphs of requests, we propose λGrapher, a serverless system for GNN serving that achieves resource efficiency through graph sharing and fine-grained resource allocation. "Grapher features the following designs: (1) adaptive timeout for request buffering to balance resource efficiency and inference latency, (2) graph-centric scheduling to minimize computation and memory redundancy, and (3) resource-centric function management with fine-grained resource allocation catered to the resource sensitivities of GNN operations and function orchestration optimized to hide communication latency. We implement a prototype of λGrapher based on the representative open-source serverless platform Knative and evaluate it with real-world traces from various web applications. Our results show that λGrapher can achieve an average savings of 61.5% in memory resource and 47.2% in computing resource compared with the state of the arts while ensuring GNN inference latency. © 2024 ACM.

关键词： Efficiency

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A Cloud Service Cache System Based on Memory Template of Virtual Machine

A Cloud Service Cache System Based on Memory Template of Vir...

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Chinagrid Annual Conference (Chinagrid)

作者： Xuanhua Shi Chao Liu Song Wu Hai Jin Xiaoxin Wu Li Deng Services Computing Technology and System Laboratory Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Huawei Technologies Company Limited China

In data centers and cloud computing environments, the number of virtual machines (VMs) increases when the number of service requests increases. Since services are invoked on demand, the corresponding virtual machines will be created and shut down frequently. This makes the time of starting a virtual machine a crucial performance bottleneck for services in data centers. Besides, if virtual machines read image files from disks to start themselves, additional overhead to access disk will be generated. In this paper, we present a cloud service cache system based on memory template of virtual machines - VCache to improve the response time of cloud computing services, and to reduce the disk access overhead. This system can create and maintain service cache VMs through memory templates, which are snapshots of running virtual machines. By creating virtual machines from cached image files, the service running in these VMs can be deployed rapidly, which greatly reduces the launching time of the service and disk I/O load. We evaluate our system with experiments, and the experimental results show that the average time for creating a VM is reduced about 80% and the amount of data through disk access decreases more than 50%.

关键词： Virtual machining Random access memory IP networks Memory management Image restoration Cloud computing Cloning

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QoS-Driven Service Selection for Multi-tenant SaaS

QoS-Driven Service Selection for Multi-tenant SaaS

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IEEE International Conference on Cloud computing, CLOUD

作者： Qiang He Jun Han Yun Yang John Grundy Hai Jin Faulty of Information and Communication Technologies Swinburne University of Technology Melbourne Australia Services Computing Technology and Systems Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781467328920

Cloud-based software applications (Software as a Service - SaaS) for multi-tenant provisioning have become a major development paradigm in Web engineering. Instead of serving a single end-user, a multi-tenant SaaS provides multiple end-users with the same functionality but with potentially different quality-of-service (QoS) values. The service selection for such a SaaS is a complex decision-making process which involves a number of stakeholders with different QoS requirements. SaaS developers need to compose services with different QoS values to meet end-users' different multidimensional QoS constraints for the SaaS. Furthermore, they also need to satisfy SaaS providers' optimisation goals for the SaaS, such as least resource cost and best system performance. Existing QoS-aware service selection approaches are oriented at a single tenant. They do not consider the characteristics of multi-tenant SaaS and hence are ineffective and inefficient when applied to compose multi-tenant SaaS. In this paper, we introduce a novel QoS-driven approach for helping SaaS developers select the services for composing multi-tenant SaaS, which achieves SaaS providers' optimisation goals while fulfilling the end-users' different levels of QoS constraints. The proposed approach is evaluated using an example SaaS synthetically generated based on a dataset of real-world Web services. Experimental results show that our approach significantly outperforms existing approaches in terms of both effectiveness and performance.

关键词： Quality of service Optimization Web services Business Time factors Greedy algorithms Linear programming

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A Novel Application-layer Relay Strategy for Low Delay P2P SIP VoIP System

A Novel Application-layer Relay Strategy for Low Delay P2P S...

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International Conference on Ubiquitous Information Technologies and Applications (ICUT)

作者： Hong Yao Hai Jin Siwei Zhou Linchen Yu Xiaofei Liao Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Computer Science and Technology China University of Geoscience Wuhan China

Development of Internet brings the great increasing communication requirement. This demand impels the developing progress of Voice over Internet Protocol (VoIP). It is difficult to supply the high quality user experience for VoIP services, which has brought great challenges to VoIP developer because of the dynamic property of Internet. We obtain the following results in lots of existing VoIP systems: (1) many relay peer selections are suboptimal; (2) the waiting time to select a relay node can be quite long; (3) there are a large number of unnecessary probes, resulting in heavy network traffic. This paper presents a way called novel application-layer relay strategy (NARS) to solve relay problem and improve scalability. We introduce the mechanism in detail, and test our mechanism in NS2 network simulation environment and get a high relay node hit ratio result, which confirms the feasibility of NARS. Also we make a comparison with the other existing models.

关键词： Relays Delay Peer to peer computing Internet telephony Web and internet services Probes Telecommunication traffic Traffic control Scalability Testing

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Towards Effective and Efficient Error Handling Code Fuzzing Based on Software Fault Injection 31

Towards Effective and Efficient Error Handling Code Fuzzing ...

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31st IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2024

作者： Chen, Kang Wen, Ming Jia, Haoxiang Wu, Rongxin Jin, Hai Wuhan430074 China Jin YinHu Laboratory Wuhan430074 China School of Informatics Xiamen University Xiamen361005 China School of Computer Science and Technology HUST Wuhan430074 China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab China Hubei Engineering Research Center on Big Data Security Hubei Key Laboratory of Distributed System Security China Cluster and Grid Computing Lab China

ISBN: (纸本)9798350330663

Software systems often encounter various errors or exceptions in practice, and thus proper error handling code is essential to ensure the reliability of software systems. Unfortunately, error handling code is often bug-prone, while sufficiently testing them is challenging as such code often cannot be triggered under normal conditions. Motivated by this, recent studies have proposed to leverage software fault injection (SFI) based fuzzing to discover potential bugs in complicated error handling code. Despite the promising results achieved, their effectiveness and efficiency are still compromised in practice due to the huge search space of error sites, inadequate fuzzing guidance, and the overhead induced by context-sensitive SFI. To achieve effective and efficient testing of error handling code, this study presents AFL-FI, which first utilizes a similarity-based method to identify suspicious error sites, and then incorporates the idea of error site coverage to guide the fuzzing process. Finally, the design of lightweight context-sensitive SFI enables AFL-FI to execute test cases efficiently. We evaluate AFL-FI on eight large-scale open-source projects, and the results show that it can outperform existing state-of-the-art fuzzing tools significantly in terms of branch code coverage. More importantly, AFL-FI has discovered 13 previously unknown bugs, and all of them have been confirmed while 12 of them have been fixed. Besides, our evaluation also demonstrates that all the key designs of AFL-F I are effective that contribute significantly to its overall performance. © 2024 IEEE.

关键词： Errors

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VMDriver: A Driver-Based Monitoring Mechanism for Virtualization

VMDriver: A Driver-Based Monitoring Mechanism for Virtualiza...

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Reliable Distributed Systems

作者： Guofu Xiang Hai Jin Deqing Zou Xinwen Zhang Sha Wen Feng Zhao Cluster and Grid Computing Laboratory Services Computing Technology and System Lab Huazhong University of Science and Technology Wuhan China Samsung Information Systems America Inc. San Jose CA USA

Monitoring virtual machine (VM) is an essential function for virtualized platforms. Existing solutions are either coarse-grained - monitoring in granularity of VM level, or not general - only support specific monitoring functions for particular guest operating system (OS). Thus they do not satisfy the monitoring requirement in large-scale server cluster such as data center and public cloud platform, where each physical platform runs hundreds of VMs with different guest OSes. In this paper, we propose VMDriver, a general and fine-grained approach for virtualization monitoring. The novel design of VMDriver is the separation of event interception point in VMM level and rich guest OS semantic reconstructions in management domain. With this design, variant monitoring drivers in management domain can mask the differences of guest OSes. We implement VMDriver on Xen and our experimental study shows that it introduces very small performance overhead. We demonstrate its generality by inspecting four aspects information about the target virtual machines with different guest OSes. The unified interface of VMDriver brings convenience to develop complex monitoring tools for distributed virtualization environment.

关键词： Monitoring Driver circuits Semantics Linux Kernel Malware

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Audio-on-demand over wireless sensor networks 12

Audio-on-demand over wireless sensor networks

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International Workshop on Quality of Service

作者： Hanhua Chen Hai Jin Lingchao Guo Shaoliang Wu Tao Gu Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Department of Mathematics and Computer Science University of Southern Denmark Odense M Denmark

ISBN: (纸本)9781467312981

Audio represents one of the most appealing yet least exploited modalities in wireless sensor networks, due to the potentially extremely large data volumes and limited wireless capacity. Therefore, how to effectively collect audio sensing information remains a challenging problem. In this paper, we propose a new paradigm of audio information collection based on the concept of audio-on-demand. We consider a sink-free environment targeting for disaster management, where audio chunks are stored inside the network for retrieval. The difficulty is to guarantee a high search success rate without infrastructure support. To solve the problem, we design a novel replication algorithm that deploys an optimal number of O(√n) replicas across the sensor network. We prove the optimality of the energy consumption of the algorithm, and use real testbed experiments and extensive simulations to evaluate the performance and efficiency of our design. The experimental results show that our design can provide satisfactory quality of audio-on-demand service with short startup latency and slight playback jitter. Extensive simulation results show that this design achieves a search success rate of 98% while reducing the search energy consumption by an order of magnitude compared with existing schemes.

关键词： Acoustics Wireless sensor networks Vectors Ash Base stations Distributed databases Educational institutions

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Modeling and Analyzing Dynamic Forensics System Based on Intrusion Tolerance

Modeling and Analyzing Dynamic Forensics System Based on Int...

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International Conference on Computer and Information Technology (CIT)

作者： Lin Chen Zhitang Li Cuixia Gao Yingshu Liu School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

As an important part of computer forensics, network forensics particularly places emphasis on dynamic network information collection and proactive defense. Most forensics systems based on intrusion detection or honeypot rarely emphasize the availability of actual servers. In addition, few of them discussed the occasion of dynamic forensics particularly. The work presented in this paper is based on an idea to assist dynamic forensics with intrusion tolerance and deception technology to enhance the availability of server system and gather more useful evidences on a proper occasion. A mechanism of dynamic forensics based on intrusion forensics is proposed and is modeled with finite state machine. The workflow is described. A semi Markov process based on the embedded Markov chain of the states transition model is built and described. Finally, the forensics capability and server availability are analysis. According to the numerical analysis result, the security performance and forensics capability of the forensics system are enhanced to a certain degree.

关键词： Intrusion detection Computer networks Information analysis Computer science Markov processes grid computing Network servers Protection Digital forensics Law

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