Emergency Cyber-Physical-Human Systems

Gelenbe, Erol; Görbil, Gökçe; Wu, Fang–Jing

doi:10.1109/icccn.2012.6289183

Cited by 31 publications

(25 citation statements)

References 28 publications

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“…Relevant research on the availability specifically of EM opportunistic communications (Oppcomms) has been carried out by Gelenbe et al [44]. Oppcomms are a type of delay/disruption-tolerant network where communication nodes store messages on behalf of others and forward them to other communication nodes when they meet.…”

Section: Wireless Communication Networkmentioning

confidence: 99%

“…Nevertheless, cyber attacks can affect their performance considerably and severely impede the emergency operation. To evaluate this effect numerically, the specific team has adapted the distributed building evacuation simulator presented in [85] to investigate the impact of cyber attacks in the cyber-physical-human context of a technology-assisted evacuation [44]. Their simulation results have shown that even a single attacker can have significant impact on an evacuation that is heavily dependent on communications.…”

Section: Wireless Communication Networkmentioning

confidence: 99%

“…Compromised node [56,57] Battery exhaustion, spoofed/altered/replay messages Detection based on both network and sensor measurements [58], collaborative sensor detection [44,56,57] (Table 2) SQL injection and other database attacks [64,65] Inaccurate database information, breach of data confidentiality Database protection measures VoIP attacks [66,67] Eavesdropping, spoofing, masquerading etc. VoIP security literature [66,68] Weak authentication Unauthorised use, breach of privacy Role based Access Control [69], document encryption [70] Likewise, the protection of EM against cyber threats can be enhanced through strengthening the technology, the processes or the awareness of people involved.…”

Section: Technology Security Threat Impact Countermeasuresmentioning

confidence: 99%

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A Review of Cyber Threats and Defence Approaches in Emergency Management

2013

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Emergency planners, first responders and relief workers increasingly rely on computational and communication systems that support all aspects of emergency management, from mitigation and preparedness to response and recovery. Failure of these systems, whether accidental or because of malicious action, can have severe implications for emergency management. Accidental failures have been extensively documented in the past and significant effort has been put into the development and introduction of more resilient technologies. At the same time researchers have been raising concerns about the potential of cyber attacks to cause physical disasters or to maximise the impact of one by intentionally impeding the work of the emergency services. Here, we provide a review of current research on the cyber threats to communication, sensing, information management and vehicular technologies used in emergency management. We emphasise on open issues for research, which are the cyber threats that have the potential to affect emergency management severely and for which solutions have not yet been proposed in the literature.

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Section: Wireless Communication Networkmentioning

confidence: 99%

Section: Wireless Communication Networkmentioning

confidence: 99%

Section: Technology Security Threat Impact Countermeasuresmentioning

confidence: 99%

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A Review of Cyber Threats and Defence Approaches in Emergency Management

2013

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“…The use of fast autonomic RNN-based routing of evacues using CPN (Bi, Desmet, and Gelenbe [13]) and directional navigation were also developed (Gelenbe and Bi [73], Kokuti and Gelenbe [166], Gelenbe, Akinwande, and Bi [172]). There have been several applications of this approach to emergency management (Gelenbe and Wu [146,148]), and routing algorithms specifically for this area are discussed in (Desmet and Gelenbe [23], Gelenbe, Gorbil, and Wu [88], Gelenbe and Wu [147]). Proactive and reactive congestion management is introduced in (Desmet and Gelenbe [24]), while designing the routing using CPN for evacuees who have diverse capabilities regarding their mobility and speed is discussed in (Bi and Gelenbe [14]).…”

Section: Autonomic Systems and Cognitive Packet Network (Cpns)mentioning

confidence: 99%

G-Networks and Their Applications to Machine Learning, Energy Packet Networks and Routing: Introduction to the Special Issue

Caglayan¹

2017

Prob. Eng. Inf. Sci.

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This paper introduces a special issue of this journal (Probability in the Engineering and Informational Sciences) that is devoted to G(elenbe)-Networks and their Applications. The special issue is based on revised versions of some of the papers that were presented at a workshop held in early January 2017 at the Séminaire Saint-Paul in Nice (France). It includes contributions in several research directions that followed from the introduction of the G-Network in the late 1980s. The papers present original theoretical developments, as well as applications of G-Networks to Machine Learning, to the performance optimization of energy systems via the novel Energy Packet Networks formalism for systems that operate with renewable and intermittent energy sources, and to packet network routing and Cloud management over the Internet. We introduce these contributions from the perspective of an overview of recent work based on G-Networks.

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“…Since that time, Erol has devoted a part of his research effort to better understanding the ongoing research of emergency management technologies [163,165], and developing a deeper understanding of the appropriate models and algorithms which are specific to this domain of research [27,28,90,164]. Unfortunately, many aspects of emergency management have a significant overlap with tactical planning of military operations [99,160,161] whose purpose is to destroy the capabilities of an adversary but also to save the lives of friendly forces and evacuate the injured of both sides.…”

Section: Emergency Management Systemsmentioning

confidence: 99%

Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

Caglayan¹

2016

Prob. Eng. Inf. Sci.

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We focus on Erol Gelenbe's scientific and technical contributions to probability models in the computer and information sciences, but limit our survey to the last fifteen years. We start with a brief overview of his work as a single author, as well as his work in collaboration with over 200 co-authors. We discuss some of his recent and innovative work regarding a new probability model that represents Intermittent Energy Sources for Computing and Communications, introducing Energy Packet Networks which are a probabilistic representation of the flow, storage and consumption of electrical energy at the microscopic level (in electronic chips), and at the macroscopic level (e.g. in buildings or data centers) and for its routing and dynamic usage by consuming units (such as computer elements, chips or machines). We next discuss his work on designing computer and communication systems that parsimoniously use energy in order to achieve a satisfactory level of quality of service (QoS). Trade-offs between system QoS and energy consumption are also considered. Then we turn to Prof. Gelenbe's pioneering work on Autonomic Communications and the design and implementation of CPN, the Cognitive Packet Network, and we also briefly review his spiking random neural network that was used in CPN. This is followed by a brief review of work that he conducted since 1999 on human evacuation from dangerous or catastrophic environments, and the design of technology driven Emergency Management Systems. His research since the late 2000s on Gene Regulatory Networks is then covered together with its application to the detecting possible disease from microarray data. Finally, we briefly discuss some novel analytical models that he developed in this period with publications appearing in journals of physics and applied mathematics.

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Emergency Cyber-Physical-Human Systems

Cited by 31 publications

References 28 publications

A Review of Cyber Threats and Defence Approaches in Emergency Management

A Review of Cyber Threats and Defence Approaches in Emergency Management

G-Networks and Their Applications to Machine Learning, Energy Packet Networks and Routing: Introduction to the Special Issue

Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

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