Risk Assessment in a Sensor Cloud Framework Using Attack Graphs

Sen, Amartya; Madria, Sanjay

doi:10.1109/tsc.2016.2544307

Cited by 44 publications

(16 citation statements)

References 20 publications

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“…For example, the only difference between the attack graph proposed by Li et al (2006) and the threat tree (a form of attack tree) by Marback et al (2013) is that the event flows top-down in the former and bottom-up in the latter. The same applies to the attack graphs by Bhattacharya et al (2008) and Sen and Madria (2017), and the attack trees by Tentilucci et al (2015), Buoni et al (2010) and Espedalen (2007). There are numerous further examples, and consequently, this paper focuses on attack graphs in general having recognised that the visual syntax problem described herein apply to both.…”

Section: Attack Graphsmentioning

confidence: 92%

Evaluating practitioner cyber-security attack graph configuration preferences

Lallie

Debattista

Bal

2018

Computers & Security

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Section: Attack Graphsmentioning

confidence: 92%

Evaluating practitioner cyber-security attack graph configuration preferences

Lallie

Debattista

Bal

2018

Computers & Security

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“…Pu and Lim [29] have presented solution against selective forwarding attack using an analytical model that uses simulation-based approach. Sen and Madria [30] has used Bayesian network in order to investigate the intensity of attack on the basis of the attack graph analysis. Hence, there are various forms of research-based approaches that emphasizes on securing wireless network using different methodologies and identifying different problems.…”

Section: Related Workmentioning

confidence: 99%

Novel Framework for Maximizing Security over Wireless Network

N*,

Kumar,

Reddy

2020

IJITEE

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With the increasing adoption of application running over wireless networking system, there is also an increasing security concern in it. Review of existing security protocols in wireless networks shows that they are highly specific to adversaries and hence they cannot be applicable with the dynamic state of network vulnerabilities. Apart from this, it was also explored that public key encryption requires a drastic change in its design methodology in order to make it more resource friendly for increased network lifetime. Therefore, this manuscript presents a novel framework that develops an enhanced model of public key encryption using algebraic structure that can generate an elite secret key. The study also introduces a design of an efficient trapdoor function which renders maximum resiliency towards different forms of lethal attacks as well as adhere to maximum security standards in wireless network. The study outcome shows that proposed system out performs frequently used existing security standards in many aspects.

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“…A request aggregator is designed to aggregate latency requests from applications to minimize the workloads for energy saving, and a feedback-based control theory is designed to handle the sensing packet delivery latency. Sen et al [45] propose a risk assessment framework for a WSN-integrated sensor-cloud using attack graphs to measure the potential threats. The Bayesian-network-based approach analyzes attacks on WSNs and predicts the time frames of security degradation on the grounds of integrity, availability, and confidentiality.…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of a Sensor-Cloud Platform for Physical Sensor Management on CoT Environments

et al. 2018

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The development of the Internet of Things (IoT) has increased the ubiquity of the Internet by integrating all objects for interaction via embedded systems, leading to a highly distributed network of devices communicating with human beings as well as other devices. In recent years, cloud computing has attracted a lot of attention from specialists and experts around the world. With the increasing number of distributed sensor nodes in wireless sensor networks, new models for interacting with wireless sensors using the cloud are intended to overcome restricted resources and efficiency. In this paper, we propose a novel sensor-cloud based platform which is able to virtualize physical sensors as virtual sensors in the CoT (Cloud of Things) environment. Virtual sensors, which are the essentials of this sensor-cloud architecture, simplify the process of generating a multiuser environment over resource-constrained physical wireless sensors and can help in implementing applications across different domains. Virtual sensors are dynamically provided in a group which advantages capability of the management the designed platform. An auto-detection approach on the basis of virtual sensors is additionally proposed to identify the accessible physical sensors nodes even if the status of these sensors are offline. In order to assess the usability of the designed platform, a smart-space-based IoT case study was implemented, and a series of experiments were carried out to evaluate the proposed system performance. Furthermore, a comparison analysis was made and the results indicate that the proposed platform outperforms the existing platforms in numerous respects.

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Risk Assessment in a Sensor Cloud Framework Using Attack Graphs

Cited by 44 publications

References 20 publications

Evaluating practitioner cyber-security attack graph configuration preferences

Evaluating practitioner cyber-security attack graph configuration preferences

Novel Framework for Maximizing Security over Wireless Network

Design and Implementation of a Sensor-Cloud Platform for Physical Sensor Management on CoT Environments

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