Cache Clouds: Cooperative Caching of Dynamic Documents in Edge Networks

Ramaswamy, Lakshmish; Liu, Ling; Iyengar, Arun

doi:10.1109/icdcs.2005.16

Cited by 32 publications

(17 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed prototype structure is based on the distributed hash table (DHT) paradigm [36], [37]. In this DHT-based structure, each e-mail agent is allocated a range of FE values.…”

Section: Distributed System Structurementioning

confidence: 99%

Privacy-Aware Collaborative Spam Filtering

Zhong²,

Ramaswamy

2009

IEEE Trans. Parallel Distrib. Syst.

Self Cite

View full text Add to dashboard Cite

Abstract-While the concept of collaboration provides a natural defense against massive spam e-mails directed at large numbers of recipients, designing effective collaborative anti-spam systems raises several important research challenges. First and foremost, since e-mails may contain confidential information, any collaborative anti-spam approach has to guarantee strong privacy protection to the participating entities. Second, the continuously evolving nature of spam demands the collaborative techniques to be resilient to various kinds of camouflage attacks. Third, the collaboration has to be lightweight, efficient, and scalable. Toward addressing these challenges, this paper presents ALPACAS-a privacy-aware framework for collaborative spam filtering. In designing the ALPACAS framework, we make two unique contributions. The first is a feature-preserving message transformation technique that is highly resilient against the latest kinds of spam attacks. The second is a privacy-preserving protocol that provides enhanced privacy guarantees to the participating entities. Our experimental results conducted on a real e-mail data set shows that the proposed framework provides a 10 fold improvement in the false negative rate over the Bayesian-based Bogofilter when faced with one of the recent kinds of spam attacks. Further, the privacy breaches are extremely rare. This demonstrates the strong privacy protection provided by the ALPACAS system.

show abstract

“…The proposed prototype structure is based on the distributed hash table (DHT) paradigm [36], [37]. In this DHT-based structure, each e-mail agent is allocated a range of FE values.…”

Section: Distributed System Structurementioning

confidence: 99%

Privacy-Aware Collaborative Spam Filtering

Zhong²,

Ramaswamy

2009

IEEE Trans. Parallel Distrib. Syst.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The proposed prototype structure is based on the distributed hash table (DHT) paradigm [12], [13]. In this DHT-based structure, each email agent is allocated a range of feature element values.…”

Section: System Structurementioning

confidence: 99%

ALPACAS: A Large-Scale Privacy-Aware Collaborative Anti-Spam System

Zhong¹,

Ramaswamy²,

Li³

2008

2008 Proceedings IEEE INFOCOM - The 27th Conference on Computer Communications

Self Cite

View full text Add to dashboard Cite

Abstract-While the concept of collaboration provides a natural defense against massive spam emails directed at large numbers of recipients, designing effective collaborative anti-spam systems raises several important research challenges. First and foremost, since emails may contain confidential information, any collaborative anti-spam approach has to guarantee strong privacy protection to the participating entities. Second, the continuously evolving nature of spam demands the collaborative techniques to be resilient to various kinds of camouflage attacks. Third, the collaboration has to be lightweight, efficient, and scalable. Towards addressing these challenges, this paper presents ALPACAS -a privacyaware framework for collaborative spam filtering. In designing the ALPACAS framework, we make two unique contributions. The first is a feature-preserving message transformation technique that is highly resilient against the latest kinds of spam attacks. The second is a privacy-preserving protocol that provides enhanced privacy guarantees to the participating entities. Our experimental results conducted on a real email dataset shows that the proposed framework provides a 10 fold improvement in the false negative rate over the Bayesian-based Bogofilter when faced with one of the recent kinds of spam attacks. Further, the privacy breaches are extremely rare. This demonstrates the strong privacy protection provided by the ALPACAS system.

show abstract

“…The real-time data collection problem bears some similarity to dynamic Web content caching [26], [27], [28], [29], [30] at a higher level. Since changes to underlying data might affect more than one Web page, the key issues in dynamic Web content caching are to determine what dynamic pages should be cached and when a cached page has become obsolete.…”

Section: Related Workmentioning

confidence: 99%

Timeliness-Accuracy Balanced Collection of Dynamic Context Data

Han

Venkatasubramanian

2007

IEEE Trans. Parallel Distrib. Syst.

View full text Add to dashboard Cite

Abstract-In the future, we are likely to see a tremendous need for context-aware applications which adapt to available context information such as physical surroundings, network, or system conditions. We aim to provide a fundamental support for these applications-a real-time context information collection service. This service delivers the right context information to the right user at the right time. The complexity of providing the real-time context information service arises from 1) the dynamically changing status of information sources, 2) the diverse user requirements in terms of data accuracy and service latency, and 3) constantly changing system conditions. In this paper, we take into consideration these dynamics and focus on addressing the trade-offs between timeliness, accuracy, and cost for information collection in distributed real-time environments. We propose a middleware-based approach to enable a judicious composition of services for accuracy-aware scheduling and cost-aware database maintenance. Specifically, we characterize the problem in terms of Quality-of-Service Satisfaction (QoSSat), Quality-of-Data Satisfaction (QoDSat), and Cost. We propose a middleware framework for the real-time information collection process, where the information mediator coordinates and facilitates communication between information sources and consumers. We design a family of algorithms for real-time request scheduling, request servicing, and directory service maintenance to be implemented at the mediator to support QoSSat and QoDSat. Our studies indicate that the composition of our proposed scheduling algorithm and directory service maintenance policy can improve the overall efficiency of the system. We also observe that the proposed policies perform very well as the system scales in the number of information sources and consumer requests.

show abstract

Cache Clouds: Cooperative Caching of Dynamic Documents in Edge Networks

Cited by 32 publications

References 13 publications

Privacy-Aware Collaborative Spam Filtering

Privacy-Aware Collaborative Spam Filtering

ALPACAS: A Large-Scale Privacy-Aware Collaborative Anti-Spam System

Timeliness-Accuracy Balanced Collection of Dynamic Context Data

Contact Info

Product

Resources

About