An opportunistic authority evaluation scheme for data security in crisis management scenarios

Scalavino, Enrico; Russello, Giovanni; Ball, Rudi; Gowadia, Vaibhav; Lupu, Emil

doi:10.1145/1755688.1755709

Cited by 16 publications

(8 citation statements)

References 15 publications

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“…Other security-related work in IC-MANET is concerned with prevention, e.g. Scalavino et al [14] who propose an authorisation scheme to protect the data exchanged in disaster events.…”

Section: Related Workmentioning

confidence: 99%

Anomaly Detection and Mitigation for Disaster Area Networks

Cucurull

Asplund

Nadjm‐Tehrani

2010

Lecture Notes in Computer Science

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Abstract. One of the most challenging applications of wireless networking are in disaster area networks where lack of infrastructure, limited energy resources, need for common operational picture and thereby reliable dissemination are prevalent. In this paper we address anomaly detection in intermittently connected mobile ad hoc networks in which there is little or no knowledge about the actors on the scene, and opportunistic contacts together with a store-and-forward mechanism are used to overcome temporary partitions. The approach uses a statistical method for detecting anomalies when running a manycast protocol for dissemination of important messages to k receivers. Simulation of the random walk gossip (RWG) protocol combined with detection and mitigation mechanisms is used to illustrate that resilience can be built into a network in a fully distributed and attack-agnostic manner, at a modest cost in terms of drop in delivery ratio and additional transmissions. The approach is evaluated with attacks by adversaries that behave in a similar manner to fair nodes when invoking protocol actions.

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“…Other security-related work in IC-MANET is concerned with prevention, e.g. Scalavino et al [14] who propose an authorisation scheme to protect the data exchanged in disaster events.…”

Section: Related Workmentioning

confidence: 99%

Anomaly Detection and Mitigation for Disaster Area Networks

Cucurull

Asplund

Nadjm‐Tehrani

2010

Lecture Notes in Computer Science

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“…Such centralized Solutions cannot be deployed when connectivity cannot be guaranteed. Our solution combines data protection schemes such as ERM systems with DTNs [9]. …”

Section: B3 Abdullatif Shikfa and Melek öNen And Refikmentioning

confidence: 99%

Ensuring Privacy in opportunistic Network

Goyal¹

2013

IOSR-JCE

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The emanate of extremely powerful mobile communication devices in recent times has elicit the development of many exploitative technologies that attempt at leveraging the ever increasing processing, storage and communicating capacities of these devices. One of the most developing areas of network is opportunistic network that provides communication even in disconnected mode. Nodes are mobile and can change their location and message or packet is forward through many intermediate nodes so identity of users is shown to all. Any intermediate can drop the data packets if the node is malicious and do not wishes to forward the data to a particular destination id. A few privacy preventing algorithms are proposed to maintain it. In this research an algorithm is proposed to maintain the privacy of user if user wants it. Stable node provides a new virtual ID to a user who wishes to communicate without disclosing his privacy. This research ensures the privacy of the data with the use of concept of cluster estimation. In this research the public private cryptography technique is used for data encryption and decryption. Algorithm is implemented on NS2 (Network Simulator 2.35).

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“…Related to the sharing of data, but not strictly related to analysis, [23,24] present on opportunistic authority evaluation scheme for sharing data in a secure way in a crisis management scenario. The main idea is to combine two already existing data sharing solutions in order to share data in a secure way through opportunistic networks.…”

Section: Related Workmentioning

confidence: 99%

A Formal Support for Collaborative Data Sharing

Martinelli

Matteucci

Petrocchi

et al. 2012

Lecture Notes in Computer Science

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Abstract. Collaborating entities usually require the exchange of personal information for the achievement of a common goal, including enabling business transactions and the provisioning of critical services. A key issue affecting these interactions is the lack of control on how data is going to be used and processed by the entities that share it. To partially solve the issue, parties may have defined a set of data sharing policies regulating the exchange of data they own, or over which they have jurisdiction. However, distinct set of policies, defined by different authorities, may lead to conflicts once enacted, since, e.g., different subjects may have defined different permissions on the same data set. This paper focuses on policy analysis and offers a formal support for coming up with a conflict-free set of data sharing policies. We illustrate the methodology on the example of an emergency management.

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An opportunistic authority evaluation scheme for data security in crisis management scenarios

Cited by 16 publications

References 15 publications

Anomaly Detection and Mitigation for Disaster Area Networks

Anomaly Detection and Mitigation for Disaster Area Networks

Ensuring Privacy in opportunistic Network

A Formal Support for Collaborative Data Sharing

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