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International Conference on Computer Science and Network Technology

作者： Zaid Alaa Hussien Hai Jin Zaid Ameen Abduljabbar Mohammed Abdulridha Hussain Salah H. Abbdal Deqing Zou Cluster and Grid Computing Lab Big Data Technology and System Lab Services Computing Technology and System Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781467381741

Cloud computing is a promising information technology service that allocates and reallocates resources when a client requires virtual data storage and network facility at any time and place. Cloud computing provides large data storage and management services at the lowest cost. Thus, it is crucial for many organizations and clients who seek such services. Data security and integrity are necessary and play important roles. However, these two issues are facing significant challenges. Therefore, a robust scheme is required to ensure security and privacy while transmitting or storing data in the cloud storage environment. We propose an efficient and robust scheme to ensure data security in a semi-trusted third party auditor. Our scheme adopts an advanced encryption standard to support data owner privacy, a cryptography hash function to maintain data owner integrity, and elliptic curve cryptography to ensure data confidentiality, correctness, and security when transmitting data over unsecure channels. A security analysis confirms that our scheme can withstand man-in-the-middle attack and provides data correctness.

关键词： Cloud storage data security elliptic curve cryptography hash function integrity semi-trusted third party auditor Data Security Elliptic curve cryptography cryptography Cloud computing computer information security Data Storage Scheme auditor Third party customers Management services Transmitting Data

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Robust image document authentication code with autonomous biometrie key generation, selection, and updating in cloud environment

Robust image document authentication code with autonomous bi...

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International Symposium on Information Assurance and Security (IAS)

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

Recently, security issues are obstructing the development and using of cloud computing services. Authentication and integrity play an important role in the cloud security, and numerous concerns have been raised to recognize any tampering with exchanges of the image document between two entities (sender and receiver) within the cloud environment. However, none of the existing solutions reduce the probability of known attacks by combining cryptographic hash function with a strong factor that should be periodically changed. For this reason, in this paper we propose a robust one-time image document authentication scheme based on combining non-interactive onetime biometric key and a robust wavelet-based cryptographic hashing scheme. The result of the combination is one-time image document authentication code (OMAC). OMAC is hidden in an image document as a cover image through reversible data embedding steganography. The proposed scheme has several important security attributes, such as key agreement, biometric key management, robust OMAC, invulnerability, and efficiency. In biometric key management, key generation, key selection, and key update algorithms are performed autonomously by the sender and the receiver; thus, no interaction between them is needed.

关键词： Authentication Cryptography Biomedical imaging Robustness Receivers Cloud computing

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A Secured Scheme for Geographical Distance Computation over Encrypted Cloud Data

A Secured Scheme for Geographical Distance Computation over ...

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International Conference on Computer Science and Network Technology

作者： Zaid Ameen Abduljabbar Hai Jin Ayad Ibrahim Aqeel Noori Mohammed Abdulridha Hussain Zaid Alaa Hussien Deqing Zou Salah H. Abbdal Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China University of Basrah Basrah Iraq

ISBN: (纸本)9781467381741

Popular service providers, such as Google and Amazon, have turned their vast resources into a cloud computing model and enforced their businesses to run applications on the servers of such new model. To ensure security and privacy in this environments, customers have to encrypt their data before uploading them into the cloud servers. Unfortunately, modern unbreakable encryption methods are inadequate because they do not have the ability to execute database queries on the encrypted data. In this paper, we address the problem of how to calculate the geographical distance over an encrypted dataset. Specifically, the data owner, Alice, sends her encrypted dataset of geographical locations into the cloud server. At any time, Bob would like to check the proximity of his submitted query from the locations of Alice. Our proposed scheme enables the untrusted server to perform such task without compromising the privacy of either the dataset of Alice or the query of Bob. Among various distance metrics, we employ the efficient principle of approximate matching to obtain the proximity between query and data locations. Furthermore, we use the inner product similarity to formalize such principle for similarity measurement. Several experiments have been conducted to investigate the overhead and the efficiency of the proposed scheme.

关键词： Cloud computing Privacy preserving Geographical distance Cloud computing Servers distance metric approximate match Dataset CLOUDS Clouds data querying similar measure Uploading Privacy cryptography Geographical Locations

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QoS-Aware Service Selection for Customisable Multi-tenant Service-Based Systems: Maturity and Approaches

QoS-Aware Service Selection for Customisable Multi-tenant Se...

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IEEE International Conference on Cloud computing, CLOUD

作者： Qiang He Jun Han Feifei Chen Yanchun Wang Rajesh Vasa Yun Yang Hai Jin School of Software and Electrical Engineering Swinburne University of Technology Melbourne Australia Services Computing Technology and Systems Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

Multi-tenant service-based systems (SBSs) have become a major paradigm in software engineering in the cloud environment. Instead of serving a single end-user, a multitenant SBS provides multiple tenants with similar and yet customised functionalities with potentially different quality-of service (QoS) values. Thus, existing approaches to service selection for single-tenant SBSs are no longer suitable. Furthermore, the target multi-tenancy maturity level also needs to be considered in the service selection approach for an SBS. In this paper, we propose three novel QoS-aware service selection approaches for composing multi-tenant SBSs that achieve three different multi-tenancy maturity levels. Extensive and comprehensive experiments are conducted and the experimental results show that our approaches outperform the existing approach in both effectiveness and efficiency.

关键词： Optimization Engines Throughput Rails Insurance Linear programming

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Energy Minimization for Cellular Network Interfaces with Dynamic Link Quality

Energy Minimization for Cellular Network Interfaces with Dyn...

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International Conference on Computer Communications and Networks (ICCCN)

作者： Xiao Lei Zaiyang Tang Peng Li Hai Jin Song Guo Xiaofei Liao Feng Lu Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China Aizu Daigaku Aizuwakamatsu Fukushima JP School of Computer Science and Engineering The University of Aizu Japan

It has been recognized that cellular network interfaces are not energy efficient because of tail energy after each transmission. Although many research efforts have been made to reduce tail energy, they ignore the dynamic of link quality caused by user mobility or network congestion, which would lead to limited improvement without quality-of-experience guarantee. In this paper, we study to minimize energy consumption of the cellular network interface with a sequence of download/upload requests. Given accurate estimation of achievable link rate, we design a dynamic-programming (DP) based algorithm to obtain the optimal solution. Without the knowledge of dynamic link quality and future requests, an online algorithm is proposed to approximate the optimal solution. Finally, we conduct extensive simulations using real traces to evaluate the performance of our proposals, and the results show that 29% energy can be saved by using our algorithm under typical network settings.

关键词： Heuristic algorithms Energy consumption Algorithm design and analysis Network interfaces Bandwidth Minimization Data communication

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Boosting mapreduce with network-aware task assignment 4th

Boosting mapreduce with network-aware task assignment

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4th International Conference on Cloud computing, CloudComp 2013

作者： Xu, Fei Liu, Fangming Zhu, Dekang Jin, Hai Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9783319055053

Running MapReduce in a shared cluster has become a recent trend to process large-scale data analytical applications while improving the cluster utilization. However, the network sharing among various applications can make the network bandwidth for MapReduce applications constrained and heterogeneous. This further increases the severity of network hotspots in racks, and makes existing task assignment policies which focus on the data locality no longer effective. To deal with this issue, this paper develops a model to analyze the relationship between job completion time and the assignment of both map and reduce tasks across racks. We further design a network-aware task assignment strategy to shorten the completion time of MapReduce jobs in shared clusters. It integrates two simple yet effective greedy heuristics that minimize the completion time of map phase and reduce phase, respectively. With large-scale simulations driven by Facebook job traces, we demonstrate that the network-aware strategy can shorten the average completion time of MapReduce jobs, as compared to the state-of-the-art task assignment strategies, yet with an acceptable computational overhead. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2014.

关键词： MapReduce

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Automatic detection and recognition of silicosis in chest radiograph

Automatic detection and recognition of silicosis in chest ra...

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作者： Zhu, Lei Zheng, Ran Jin, Hai Zhang, Qin Zhang, Wei Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

Silicosis remains one of the most harmful occupational respiratory diseases. It threatens the workers exposed to dust environment. Chest radiograph is the main available image source for silicosis diagnosis according to the diagnostic criteria of pneumoconiosis (DCP). Automatic detection and recognition of silicosis in chest radiograph has great importance on aiding the process of silicosis diagnosis. This paper proposes a multi-scale opacity detection approach to detect all suspected opacities from the chest radiograph. A support vector machine (SVM) based computer-aided silicosis diagnosis is proposed to recognize silicosis opacity from a large amount of candidate regions, and gives processing result for radiologist reference. Comprehensive experiments conducted on real world chest radiographs demonstrate that the proposed approach can reveal changes of silicosis pathology well, and it can be adopted as an effective tool for automatic silicosis diagnosis. © 2014 - IOS Press and the authors.

关键词： Support vector machines

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An Efficient and Robust One-TimeMessage Authentication CodeScheme using Feature Extraction of Iris in Cloud computing

An Efficient and Robust One-TimeMessage Authentication CodeS...

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2014 International Conference on Cloud computing and Internet of Things (CCIOT)(2014年第一届云计算和物联网国际会议)

作者： Mohammed Abdulridha Hussain ZaidAmeen Abduljabbar Deqing Zou Hai Jin Ali A.Yassin ZaidAlaa Hussien Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Scien 1Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Scie University of Basrah BasrahIraq Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Scien

Cloud computing suffers from a number of problems in terms of security *** and integrity play an important role in the security field and numerous concerns have been raised to recognizeor protect any tampering with exchanges of text between two entities(sender and receiver)within the cloud *** schemes in this area can be vulnerable to well known methods of attack such as replay attack,forgery attack,dictionary,insider,and modification attacks.A robust scheme is therefore required to detect or prevent any modification or manipulation of a message during *** this paper,we propose a new message authentication code(MAC)based on feature extraction of the user's iris in order to assure the integrity of the user's *** are extracted from the user's iris to generate a message code for each user's login and to prohibit malicious attacks such as replay,forgery and insider *** proposed scheme enjoysseveral important security attributes such as a user's one time bio-key,robust message anonymity,data integrity for a user's message,phase key agreement,bio-key management,and one time message code for each user's ***,our security analysis and experimental results demonstrate and prove the invulnerability and efficiency of our proposed scheme.

关键词： Cloud computing Iris Features Extraction One Time Bio-key One Tim Message Authentication Code MAC.

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Dependability Analysis for Fault-Tolerant Computer Systems Using Dynamic Fault Graphs

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China Communications 2014年第9期11卷 16-30页

作者： ZHAO Feng JIN Hai ZOU Deqing QIN Pan Services Computing Technology and System Lab & Cluster and Grid Computing Lab School of Computer Scienceand Technology Huazhong University of Science and Technology Wuhan 430074 Hubei Province P. R. China

Dependability analysis is an important step in designing and analyzing safety computer systems and protection *** multi-processor and virtual machine increases the system faults' complexity,diversity and dynamic,in particular for software-induced failures,with an impact on the overall ***,it is very different for safety system to operate successfully at any active phase,since there is a huge difference in failure rate between hardware-induced and softwareinduced *** handle these difficulties and achieve accurate dependability evaluation,consistently reflecting the construct it measures,a new formalism derived from dynamic fault graphs(DFG) is developed in this *** exploits the concept of system event as fault state sequences to represent dynamic behaviors,which allows us to execute probabilistic measures at each timestamp when change *** approach automatically combines the reliability analysis with the system *** this paper,we describe how to use the proposed methodology drives to the overall system dependability analysis through the phases of modeling,structural discovery and probability analysis,which is also discussed using an example of a virtual computing system.

关键词： fault-tolerant system depend-ability analysis dynamic fault-graph structural link probability forecast

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Secure and Efficient Data Integrity Based on Iris Features in Cloud computing

Secure and Efficient Data Integrity Based on Iris Features i...

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International Conference on Security Technology, SECTECH

作者： Salah H. Abbdal Hai Jin Deqing Zou Ali A. Yassin Services Computing Technologyt and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China

Cloud computing aids users to outsource their data in the cloud remotely to prevent them from burdens of local storage and maintenance. Users no longer have possession and control of these data. This property brings many new security challenges like unauthorised entities and correctness of stored data. In this paper, we focus on the problem of ensuring the integrity of data stored in the cloud. We propose a method which combines biometric and cryptography techniques in a cost-effective manner for data owners to gain trust in the cloud. We present efficient and secure integrity based on the XOR operation and iris feature extraction as the strong factors. This work gives the cloud user more confidence in detecting any block that has been changed. Additionally, our proposed scheme employs user's iris features to secure and integrate data in a manner difficult for any internal or external entity to take or compromise it. Extensive security and performance analysis show that our scheme is highly efficient and provably secure.

关键词： Cloud computing Servers Security Iris Iris recognition Feature extraction

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