profil-zyak-2012

Publications

IEEE TRANSACTIONS ON INFORMATION THEORY VOL XX NO X XXX - Frank Nielsen

IEEE TRANSACTIONS ON INFORMATION THEORY VOL XX NO X XXX

Monitoring and Supervisory Control for Opacity - Roland Groz

Monitoring and Supervisory Control for Opacity

A Framework for Analyzing Probabilistic Protocols and its Application to the Partial - Intend2

A Framework for Analyzing Probabilistic Protocols and its Application to the Partial

Spatial Information Distribution in Constraint based Process Calculi Extended Version - Sophia Knight1

Spatial Information Distribution in Constraint based Process Calculi Extended Version

LIX Ecole PolytechniqueGeometrica INRIA Sophia - Luca Castelli

LIX Ecole PolytechniqueGeometrica INRIA Sophia

October Version for the second edition of “Logica Universalis” - Lutz Strassburger

October Version for the second edition of “Logica Universalis”

Lutz Strassburger

Compositional Methods for Information Hiding - Christelle Braun

Compositional Methods for Information Hiding

Christelle Braun

From Deep Inference to Proof Nets via Cut Elimination - Lutz Strassburger

From Deep Inference to Proof Nets via Cut Elimination

Lutz Strassburger

IP Smart Object networks also referred to as LLN Low power and Lossy Networks have unique characteristics and requirements Indeed by contrast with “typical” IP networks where powerful routers are interconnected by highly stable links LLNs are usually interconnected by low power low bandwidth links offering between a few Kbits s and a few hundreds of Kbits s In addition to providing limited bandwidth such links especially wireless are usually extremely unstable with high BER Bit Error Rate It is not unusual to see the PDR Packet Delivery Rate oscillating between and with large bursts of unpredictable errors and even loss of connectivity for some period of time Note that such behavior can be observed both for RF links such as IEEE and PLC links that exhibit similar behaviors Another characteristic of IP smart objects is that node failures for example due to energy depletion are significantly more frequent than in traditional IP networks where nodes are main powered highly redundant multi processors supporting non stop forwarding Another key characteristic is that LLNs do need to scale Some LLNs can be made of dozens and even hundreds of thousands of nodes This explains why specifying protocols for very large scale constrained and unstable environments bring its own sets of challenges For the sake of illustration other topics are discussed later one of the golden rules was to under react to failure by contrast with routing protocols such as OSPF or ISIS where the network needs to re converge within a few dozens of milliseconds This required a real paradigm shift since over reaction would lead to network collapse very rapidly Furthermore control plane overhead had to be minimized while supporting dynamic link node metrics MTR and so forth With these physical constraints and requirements this paper provides a rough first draft at describing the challenges in securing both LLNs and IP smart objects - Monique Jeanne Morrow

IP Smart Object networks also referred to as LLN Low power and Lossy Networks have unique characteristics and requirements Indeed by contrast with “typical” IP networks where powerful routers are interconnected by highly stable links LLNs are usually interconnected by low power low bandwidth links offering between a few Kbits s and a few hundreds of Kbits s In addition to providing limited bandwidth such links especially wireless are usually extremely unstable with high BER Bit Error Rate It is not unusual to see the PDR Packet Delivery Rate oscillating between and with large bursts of unpredictable errors and even loss of connectivity for some period of time Note that such behavior can be observed both for RF links such as IEEE and PLC links that exhibit similar behaviors Another characteristic of IP smart objects is that node failures for example due to energy depletion are significantly more frequent than in traditional IP networks where nodes are main powered highly redundant multi processors supporting non stop forwarding Another key characteristic is that LLNs do need to scale Some LLNs can be made of dozens and even hundreds of thousands of nodes This explains why specifying protocols for very large scale constrained and unstable environments bring its own sets of challenges For the sake of illustration other topics are discussed later one of the golden rules was to under react to failure by contrast with routing protocols such as OSPF or ISIS where the network needs to re converge within a few dozens of milliseconds This required a real paradigm shift since over reaction would lead to network collapse very rapidly Furthermore control plane overhead had to be minimized while supporting dynamic link node metrics MTR and so forth With these physical constraints and requirements this paper provides a rough first draft at describing the challenges in securing both LLNs and IP smart objects

Monique Jeanne Morrow

June Final version for the proceedings of CSL 09 -

June Final version for the proceedings of CSL'09

January Final version appearing in proceedings of TLCA 05 - Lutz Strassburger

January Final version appearing in proceedings of TLCA'05

Lutz Strassburger

Workshop on “Classical Logic and Computation” July Venice Italy - Lutz Strassburger

Workshop on “Classical Logic and Computation” July Venice Italy

Lutz Strassburger

PANA applicability in constrained environments - Mitsuru Kanda

PANA applicability in constrained environments

AAA based Infrastructure for Industrial Wireless Sensor Networks Authors: Thomas Bartzsch University of Applied Sciences Dresden dresden de Dirk Burggraf University of Applied Sciences Dresden dresden de Laura Cristina Gheorghe University Politehnica of Bucharest laura pub ro Alexis Olivereau Commissariat l Energie Atomique France alexis fr Nouha Oualha Commissariat l Energie Atomique France nouha fr Emil Slusanschi University Politehnica of Bucharest emil pub ro Dan Tudose University Politehnica of Bucharest dan pub ro Markus Wehner University of Applied Sciences Dresden dresden de Sven Zeisberg University of Applied Sciences Dresden dresden de - Thomas Bartzsch

AAA based Infrastructure for Industrial Wireless Sensor Networks Authors: Thomas Bartzsch University of Applied Sciences Dresden dresden de Dirk Burggraf University of Applied Sciences Dresden dresden de Laura Cristina Gheorghe University Politehnica of Bucharest laura pub ro Alexis Olivereau Commissariat l'Energie Atomique France alexis fr Nouha Oualha Commissariat l'Energie Atomique France nouha fr Emil Slusanschi University Politehnica of Bucharest emil pub ro Dan Tudose University Politehnica of Bucharest dan pub ro Markus Wehner University of Applied Sciences Dresden dresden de Sven Zeisberg University of Applied Sciences Dresden dresden de

Thomas Bartzsch

Convergence of Smart Objects in industrial wireless sensor network Smart Object Security Workshop Kazunori Miyazawa Yokogawa Electric Corporation Kazunori yokogawa com Introduction Process Automation Control System PACS requires high reliability because it processes hazerdous materials which are often explosive and toxic PACS has been mainly using 20mA analog communication overlaying on power supply because of its high reliablity This analog communication needs one line to transmit to single value and it is uni directional Brand new PACS introduces field bus network for communication between control systems and sensors It is bi directional digital communication and achieves to share a communication line with some devices So far PACS mainly uses wired communication but demand for wireless communication increases due to the cost merit The purpose of wireless communication is mainly monitoring at this moment Some users expect to extends it to more critical purpose such asI Os of control loops Control cycle depends on target processes or materials and every PACS needs realtimeness The control cycle is Hz in general and sometimes more faster Hz As mentioned above PACS processes hazardous materials which are sometimes explosive Hence field devices such as sensors and actuators must be intrinsically safe and low power consumption capacitance and inductance are seriously restricted Network for PACS usually equips redundancy due to the high reliability requirements Huge plant has tens of thousands of I O points and over a ten thousands field devices So that field devices and their engineering are cost sensitive If once a plant starting up and becoming production phase after construction the equipments are hardly changed and they are used years or years long The system is very static and it has long life cycle Construction and engineering of PACS are executed in parallel to shorten the time to build a plant In a user site the construction is carried out according to physical design The devices are directly delivered ...

Kazunori Miyazawa

Noname manuscript No will be inserted by the editor - Andrew Gacek

Noname manuscript No will be inserted by the editor

Abstract Syntax and Logic Programming September - Second Russian

Abstract Syntax and Logic Programming September

Noname manuscript No will be inserted by the editor -

Noname manuscript No will be inserted by the editor

TLS with PSK for Constrained Devices - Vladislav Perelman

TLS with PSK for Constrained Devices

Vladislav Perelman

A META LANGUAGE FOR TYPE CHECKING AND INFERENCE - Amy Felty

A META LANGUAGE FOR TYPE CHECKING AND INFERENCE

A Proposal for Modules in Prolog -

A Proposal for Modules in Prolog

Least and greatest fixed points in linear logic - David Baelde

Least and greatest fixed points in linear logic

Andrew Gacek a Dale Millerb Gopalan Nadathura - Andrew Gacek

Andrew Gacek a Dale Millerb Gopalan Nadathura

Communicating and trusting proofs: The case for broad spectrum proof certificates -

Communicating and trusting proofs: The case for broad spectrum proof certificates

Kripke Semantics and Proof Systems for Combining Intuitionistic Logic and Classical Logic -

Kripke Semantics and Proof Systems for Combining Intuitionistic Logic and Classical Logic

Abstract syntax for variable binders: An overview -

Abstract syntax for variable binders: An overview

Least and greatest xed points in linear logic Extended Version - David Baelde

Least and greatest xed points in linear logic Extended Version

A Multiple Conclusion Meta Logic -

A Multiple Conclusion Meta Logic

Focusing in linear meta logic -

Focusing in linear meta logic

HIGHER ORDER HORN CLAUSES - Duke University

HIGHER ORDER HORN CLAUSES

Duke University

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