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Editorial: Special Issue on Theory and Applications in Parallel and Distributed Computing Systems
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Journal of Computer and System Sciences ••• (••••) •••–•••
Contents lists available at ScienceDirect
Journal of Computer and System Sciences www.elsevier.com/locate/jcss
Foreword
Editors’ foreword: Special Issue on Theory and Applications in Parallel and Distributed Computing Computing systems are now pervasive in every aspect of our daily life and promise to revolutionize our life. The emergence of the related technology is a natural outcome of research and technological advances in a variety of areas of parallel and distributed computing. These new and exciting parallel and distributed computing paradigms have become the supporting element to every angle of modern human society. This special issue presents the recent advances in parallel and distributed computing, in particular, with focuses on theory and applications. This special issue covers two broad areas: 1) theory in parallel and distributed computing, and 2) applications in parallel and distributed computing. In response to the call for papers, we received 39 submissions from worldwide. The submitted papers are not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Each paper has gone through a rigorous blind peer-review process by at least two international researchers. Finally we accepted 8 papers from the submissions, representing the acceptance rate of 20.5%. We are pleased to present to you the following 8 papers dealing with cutting-edge research and technologies. In the first paper, “Building Access Control Policy Model for Privacy Preserving and Testing Policy Conflicting Problems” [1], Wang et al. propose a purpose-based access control model in distributed computing environment for privacy preserving policies and mechanisms, and describe algorithms for policy conflicting problems. Privacy preserving is increasing in its importance since privacy has become a major concern for both customers and enterprises in today’s corporate marketing strategies. Workload management in a virtualized cloud environment has become a complex task nowadays. In the second paper, “Proactive Workload Management in Dynamic Virtualized Environments” [2], Sallam et al. propose a new proactive workload management model for virtualized resources to inspect the workload behavior of the running virtual machines, and to assent an appropriate scheduling and resource consolidation schema in order to improve the system efficiency, utilization, and throughput. Same as the second paper, the third paper, “A Comprehensive Approach to Securing Cloud Data Storage Systems – A Novel Cryptographic Role Based Access Control Scheme and Its Secure Administration” [3], is related to cloud systems. As we know, cloud systems provide significant benefits by allowing users to store massive amount of data on demand in a cost-effective manner. However, security and privacy are the major concerns of adopting cloud systems. Zhou and Varadharajan propose a role-based encryption (RBE) that uses cryptographic techniques to enforce role-based access policies and a cryptographic administrative model for managing and enforcing role-based access policies for cryptographic role-based access control schemes. In the fourth paper, “Dynamics Stability in Wireless Senor Networks Active Defense Model” [4], Chen et al. propose a proactive defense model to secure the distributed wireless sensor networks. As the nodes in wireless sensor networks have limited ability to learn the evolution of rationality from different attack strategies of the attacker, this system can dynamically adjust its defense strategies to achieve the most effective defense. The evaluation shows that the defense cost such as energy consumption has been greatly saved and the life cycle of the nodes has been extended. In the fifth paper, “EFADS: Efficient, Flexible and Anonymous Data Sharing Protocol for Cloud Computing with Proxy Re-Encryption” [5], Wei et al. propose an efficient and anonymous data sharing protocol with flexible sharing style, named EFADS, for outsourcing data onto the cloud. By using a novel proxy re-encryption scheme, EFADS allows the data holder to share the data efficiently when the data is not originally generated by the data holder, and the data sharer list is dynamic. EFADS can also preserve data sharer’s anonymity even if the adversary corrupts the cloud server. Building a platform for processing big data is extremely challenging in terms of storage management, computational capability, scalability and reliability. In the sixth paper, “A Spatiotemporal Compression Based Approach for Efficient Big Data Processing on Cloud” [6], Yang et al. propose a novel technique for effectively processing big data, especially streaming big graph data on cloud. With this technique, the big data will be compressed with its spatiotemporal features on cloud. By exploring spatial correlation of big data, a graph data set is partitioned into clusters so that, in one cluster all edges http://dx.doi.org/10.1016/j.jcss.2014.04.016 0022-0000/© 2014 Published by Elsevier Inc.
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Foreword
from the graph have similar time series of data. The evaluation shows that the spatiotemporal compression on cloud can significantly reduce the data size compared to the previous big data processing techniques without compression. In the seventh paper, “One-Time Packet Key Exchange Scheme for Secure Real-Time Multimedia Applications” [7], Jung and Festijo propose a selective packet key encryption scheme that selectively encrypts RTP packets using different keys in the same session for real-time multimedia applications. The main feature of this proposed scheme is that it uses a one-time packet key, which will never be reused throughout the same session. The use of the one-time packet key enables the significant security improvement in real-time multimedia applications. With the popularity of the GPS-equipped devices such as smart phones, a massive amount of location data is being collected, raising the issue of the privacy risks incurred by the individuals whose movements are recorded. In the last paper, “De-Anonymization Attack on Geolocated Data” [8], Gambs et al. discover a specific inference attack called the deanonymization attack, by which an adversary tries to infer the identity of a particular individual behind a set of mobility traces. They propose an implementation of this attack based on a mobility model called Mobility Markov Chain (MMC). Discussion on defending against such attack is presented. We sincerely hope that you will enjoy reading these papers and find them interesting. We thank all the international reviewers for their professional services. We deeply thank Professor E.K. Blum, the Managing Editor of JCSS, for providing this opportunity to publish this special issue. With his continuous support, encouragement and guidance throughout this publishing project, this special issue has been very successful. References [1] H. Wang, et al., Building access control policy model for privacy preserving and testing policy conflicting problems, J. Comput. Syst. Sci. (2014), in this issue. [2] A. Sallam, et al., Proactive workload management in dynamic virtualized environments, J. Comput. Syst. Sci. (2014), in this issue. [3] Zhou, Varadharajan, A comprehensive approach to securing cloud data storage systems – a novel cryptographic role based access control scheme and its secure administration, J. Comput. Syst. Sci. (2014), in this issue. [4] Z. Chen, et al., Dynamics stability in wireless senor networks active defense model, J. Comput. Syst. Sci. (2014), in this issue. [5] Wei, et al., EFADS: efficient, flexible and anonymous data sharing protocol for cloud computing with proxy re-encryption, J. Comput. Syst. Sci. (2014), in this issue. [6] Yang, et al., A spatiotemporal compression based approach for efficient big data processing on cloud, J. Comput. Syst. Sci. (2014), in this issue. [7] Jung, Festijo, One-time packet key exchange scheme for secure real-time multimedia applications, J. Comput. Syst. Sci. (2014), in this issue. [8] S. Gambs, et al., De-anonymization attack on geolocated data, J. Comput. Syst. Sci. (2014), in this issue.
Guest Editors Prof. Yang Xiang ∗ Deakin University, Australia E-mail address: [email protected] Prof. Ivan Stojmenovic University of Ottawa, Canada E-mail address: [email protected] Dr. Peter Mueller IBM Zurich Research Laboratory, Switzerland E-mail address: [email protected] 4 February 2014 Available online xxxx
*
Corresponding author.
AID:2785 /EDI
[m3G; v 1.132; Prn:24/04/2014; 12:17] P.1 (1-2)
Journal of Computer and System Sciences ••• (••••) •••–•••
Contents lists available at ScienceDirect
Journal of Computer and System Sciences www.elsevier.com/locate/jcss
Foreword
Editors’ foreword: Special Issue on Theory and Applications in Parallel and Distributed Computing Computing systems are now pervasive in every aspect of our daily life and promise to revolutionize our life. The emergence of the related technology is a natural outcome of research and technological advances in a variety of areas of parallel and distributed computing. These new and exciting parallel and distributed computing paradigms have become the supporting element to every angle of modern human society. This special issue presents the recent advances in parallel and distributed computing, in particular, with focuses on theory and applications. This special issue covers two broad areas: 1) theory in parallel and distributed computing, and 2) applications in parallel and distributed computing. In response to the call for papers, we received 39 submissions from worldwide. The submitted papers are not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Each paper has gone through a rigorous blind peer-review process by at least two international researchers. Finally we accepted 8 papers from the submissions, representing the acceptance rate of 20.5%. We are pleased to present to you the following 8 papers dealing with cutting-edge research and technologies. In the first paper, “Building Access Control Policy Model for Privacy Preserving and Testing Policy Conflicting Problems” [1], Wang et al. propose a purpose-based access control model in distributed computing environment for privacy preserving policies and mechanisms, and describe algorithms for policy conflicting problems. Privacy preserving is increasing in its importance since privacy has become a major concern for both customers and enterprises in today’s corporate marketing strategies. Workload management in a virtualized cloud environment has become a complex task nowadays. In the second paper, “Proactive Workload Management in Dynamic Virtualized Environments” [2], Sallam et al. propose a new proactive workload management model for virtualized resources to inspect the workload behavior of the running virtual machines, and to assent an appropriate scheduling and resource consolidation schema in order to improve the system efficiency, utilization, and throughput. Same as the second paper, the third paper, “A Comprehensive Approach to Securing Cloud Data Storage Systems – A Novel Cryptographic Role Based Access Control Scheme and Its Secure Administration” [3], is related to cloud systems. As we know, cloud systems provide significant benefits by allowing users to store massive amount of data on demand in a cost-effective manner. However, security and privacy are the major concerns of adopting cloud systems. Zhou and Varadharajan propose a role-based encryption (RBE) that uses cryptographic techniques to enforce role-based access policies and a cryptographic administrative model for managing and enforcing role-based access policies for cryptographic role-based access control schemes. In the fourth paper, “Dynamics Stability in Wireless Senor Networks Active Defense Model” [4], Chen et al. propose a proactive defense model to secure the distributed wireless sensor networks. As the nodes in wireless sensor networks have limited ability to learn the evolution of rationality from different attack strategies of the attacker, this system can dynamically adjust its defense strategies to achieve the most effective defense. The evaluation shows that the defense cost such as energy consumption has been greatly saved and the life cycle of the nodes has been extended. In the fifth paper, “EFADS: Efficient, Flexible and Anonymous Data Sharing Protocol for Cloud Computing with Proxy Re-Encryption” [5], Wei et al. propose an efficient and anonymous data sharing protocol with flexible sharing style, named EFADS, for outsourcing data onto the cloud. By using a novel proxy re-encryption scheme, EFADS allows the data holder to share the data efficiently when the data is not originally generated by the data holder, and the data sharer list is dynamic. EFADS can also preserve data sharer’s anonymity even if the adversary corrupts the cloud server. Building a platform for processing big data is extremely challenging in terms of storage management, computational capability, scalability and reliability. In the sixth paper, “A Spatiotemporal Compression Based Approach for Efficient Big Data Processing on Cloud” [6], Yang et al. propose a novel technique for effectively processing big data, especially streaming big graph data on cloud. With this technique, the big data will be compressed with its spatiotemporal features on cloud. By exploring spatial correlation of big data, a graph data set is partitioned into clusters so that, in one cluster all edges http://dx.doi.org/10.1016/j.jcss.2014.04.016 0022-0000/© 2014 Published by Elsevier Inc.
JID:YJCSS
AID:2785 /EDI
2
[m3G; v 1.132; Prn:24/04/2014; 12:17] P.2 (1-2)
Foreword
from the graph have similar time series of data. The evaluation shows that the spatiotemporal compression on cloud can significantly reduce the data size compared to the previous big data processing techniques without compression. In the seventh paper, “One-Time Packet Key Exchange Scheme for Secure Real-Time Multimedia Applications” [7], Jung and Festijo propose a selective packet key encryption scheme that selectively encrypts RTP packets using different keys in the same session for real-time multimedia applications. The main feature of this proposed scheme is that it uses a one-time packet key, which will never be reused throughout the same session. The use of the one-time packet key enables the significant security improvement in real-time multimedia applications. With the popularity of the GPS-equipped devices such as smart phones, a massive amount of location data is being collected, raising the issue of the privacy risks incurred by the individuals whose movements are recorded. In the last paper, “De-Anonymization Attack on Geolocated Data” [8], Gambs et al. discover a specific inference attack called the deanonymization attack, by which an adversary tries to infer the identity of a particular individual behind a set of mobility traces. They propose an implementation of this attack based on a mobility model called Mobility Markov Chain (MMC). Discussion on defending against such attack is presented. We sincerely hope that you will enjoy reading these papers and find them interesting. We thank all the international reviewers for their professional services. We deeply thank Professor E.K. Blum, the Managing Editor of JCSS, for providing this opportunity to publish this special issue. With his continuous support, encouragement and guidance throughout this publishing project, this special issue has been very successful. References [1] H. Wang, et al., Building access control policy model for privacy preserving and testing policy conflicting problems, J. Comput. Syst. Sci. (2014), in this issue. [2] A. Sallam, et al., Proactive workload management in dynamic virtualized environments, J. Comput. Syst. Sci. (2014), in this issue. [3] Zhou, Varadharajan, A comprehensive approach to securing cloud data storage systems – a novel cryptographic role based access control scheme and its secure administration, J. Comput. Syst. Sci. (2014), in this issue. [4] Z. Chen, et al., Dynamics stability in wireless senor networks active defense model, J. Comput. Syst. Sci. (2014), in this issue. [5] Wei, et al., EFADS: efficient, flexible and anonymous data sharing protocol for cloud computing with proxy re-encryption, J. Comput. Syst. Sci. (2014), in this issue. [6] Yang, et al., A spatiotemporal compression based approach for efficient big data processing on cloud, J. Comput. Syst. Sci. (2014), in this issue. [7] Jung, Festijo, One-time packet key exchange scheme for secure real-time multimedia applications, J. Comput. Syst. Sci. (2014), in this issue. [8] S. Gambs, et al., De-anonymization attack on geolocated data, J. Comput. Syst. Sci. (2014), in this issue.
Guest Editors Prof. Yang Xiang ∗ Deakin University, Australia E-mail address: [email protected] Prof. Ivan Stojmenovic University of Ottawa, Canada E-mail address: [email protected] Dr. Peter Mueller IBM Zurich Research Laboratory, Switzerland E-mail address: [email protected] 4 February 2014 Available online xxxx
*
Corresponding author.