https://mw.hh.se/caisr/api.php?action=feedcontributions&feedformat=atom&user=Eric.jarpeISLAB/CAISR - User contributions [en]2026-04-04T06:57:33ZUser contributionsMediaWiki 1.35.13https://mw.hh.se/caisr/index.php?title=Improved_networks_for_cloud-car_communication&diff=4480Improved networks for cloud-car communication2019-11-27T13:43:54Z<p>Eric.jarpe: </p>
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<div>{{StudentProjectTemplate<br />
|Summary=Development of new communication network for more efficient, reliable and diverse traffic flow and hence improved performance driving of cars.<br />
|Keywords=Generative Adverserial Network, realtime communication, reliability, security, CAN bus technology<br />
|TimeFrame=Spring 2020<br />
|References=Generative Adverserial Nets<br />
Etschberger: CAN Controller Area Network - Grundlagen, Protokolle, Bausteine, Anwendungen<br />
|Prerequisites=Mathematical statistics, machine learning, programming<br />
|Supervisor=Cristofer Englund, Eric Järpe, Ana Magazinius<br />
|Level=Master<br />
|Status=Open<br />
}}<br />
As cars are getting smarter, higher demands on the communication with cloud computers are formulated. New technology (such as CAN bus) makes radiacally improved performance possible, but for accessing necessary computation capatity cloud resources are desired and then increasing amounts of data needs to be distributed via a reliable communication line. Since most or all of the information has to be delivered in realtime the design of this communication network is a delicate task.<br />
<br />
The state-of-the-art models to this end schould be described and their pros and cons briefly discussed. A new network should be specified and constructed, possibly by means of a GAN (Generative Adverserial Network) taking into consideration how fast different parts of the communication needs to be, how it could be transmitted securly, how reliable the transmission is etc. Ideas for improvements compared to the existing solution could be suggested, implemented and tested in comparison to the stat-of-the-art solutions. New criteria for comparing the methods could be proposed and procedures for evaluation of the methods according to these new criteria could be developed. Experiments with possible techniqes to detect attacks against the security is planned. The thesis will be a part of the CyRev research project in collaboration with partners from the industry.</div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=Improved_networks_for_cloud-car_communication&diff=4479Improved networks for cloud-car communication2019-11-27T13:37:24Z<p>Eric.jarpe: Created page with "{{StudentProjectTemplate |Summary=Development of new communication network for more efficient, reliable and diverse traffic flow and hence improved performance driving of cars..."</p>
<hr />
<div>{{StudentProjectTemplate<br />
|Summary=Development of new communication network for more efficient, reliable and diverse traffic flow and hence improved performance driving of cars.<br />
|Keywords=Generative Adverserial Network, realtime communication, reliability, security, CAN bus technology<br />
|TimeFrame=Spring 2020<br />
|References=Generative Adverserial Nets<br />
Etschberger: CAN Controller Area Network - Grundlagen, Protokolle, Bausteine, Anwendungen<br />
|Prerequisites=Mathematical statistics, machine learning, programming<br />
|Supervisor=Cristofer Englund, Eric Järpe, Ana Magazinius<br />
}}<br />
As cars are getting smarter, higher demands on the communication with cloud computers are formulated. New technology (such as CAN bus) makes radiacally improved performance possible, but for accessing necessary computation capatity cloud resources are desired and then increasing amounts of data needs to be distributed via a reliable communication line. Since most or all of the information has to be delivered in realtime the design of this communication network is a delicate task.<br />
<br />
The state-of-the-art models to this end schould be described and their pros and cons briefly discussed. A new network should be specified and constructed, possibly by means of a GAN (Generative Adverserial Network) taking into consideration how fast different parts of the communication needs to be, how it could be transmitted securly, how reliable the transmission is etc. Ideas for improvements compared to the existing solution could be suggested, implemented and tested in comparison to the stat-of-the-art solutions. New criteria for comparing the methods could be proposed and procedures for evaluation of the methods according to these new criteria could be developed. Experiments with possible techniqes to detect attacks against the security is planned. The thesis will be a part of the CyRev research project in collaboration with partners from the industry.</div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=Ethical_hacking_of_car-cloud_communication&diff=4473Ethical hacking of car-cloud communication2019-11-22T13:08:38Z<p>Eric.jarpe: </p>
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<div>{{StudentProjectTemplate<br />
|Summary=Designing and assessing attacks against a car-cloud network<br />
|Programme=IT-forensik och Informationssäkerhet<br />
|Keywords=cybersecurity,attacks<br />
|TimeFrame=March-May 2019<br />
|Prerequisites=Ethical Hacking<br />
|Supervisor=Eric Järpe, Cristofer Englund<br />
|Examiner=Stefan Axelsson<br />
|Level=Bachelor<br />
|Status=Open<br />
}}<br />
In construction of protection against attacks against a communication network, it is necessary to know what attacks that are being launched. To this end a project of designing and evaluating attacks against a vehicle-cloud network is proposed. There is also a possibility for experiments in collaboration with a master thesis project about network communication design and another project about detecting attacks against the network. This bachelor thesis project will be a part of a large research project (CyRev) which invlolves the industrial research institute RISE and the car company Volvo Cars.</div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=Ethical_hacking_of_car-cloud_communication&diff=4472Ethical hacking of car-cloud communication2019-11-22T12:49:42Z<p>Eric.jarpe: </p>
<hr />
<div>{{StudentProjectTemplate<br />
|Summary=Designing and assessing attacks against a car-cloud network<br />
|Programme=IT-forensik och Informationssäkerhet<br />
|Keywords=cybersecurity,attacks<br />
|TimeFrame=March-May 2019<br />
|Prerequisites=Ethical Hacking<br />
|Supervisor=Eric Järpe, Cristofer Englund<br />
|Examiner=Stefan Axelsson<br />
|Level=Bachelor<br />
|Status=Open<br />
}}<br />
In construction of protection against attacks against a communication network, it is necessary to know what attacks ab being launched. To this end a project of designing and evaluating attacks against a vehicle-cloud network is proposed. There is also a possibility for experiments in collaboration with a master thesis project about network communication design and another project about detecting attacks against the network. This bachelor thesis project will be a part of a large research project (CyRev) which invlolves the industrial research institute RISE and the car company Volvo Cars.</div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=Ethical_hacking_of_car-cloud_communication&diff=4471Ethical hacking of car-cloud communication2019-11-22T10:51:34Z<p>Eric.jarpe: Created page with "{{StudentProjectTemplate |Summary=Designing and assessing attacks against a car-cloud network |Programme=IT-forensik och Informationssäkerhet |Keywords=cybersecurity,attacks ..."</p>
<hr />
<div>{{StudentProjectTemplate<br />
|Summary=Designing and assessing attacks against a car-cloud network<br />
|Programme=IT-forensik och Informationssäkerhet<br />
|Keywords=cybersecurity,attacks<br />
|TimeFrame=March-May 2019<br />
|Prerequisites=Ethical Hacking<br />
|Supervisor=Eric Järpe and Cristofer Englund<br />
|Examiner=Stefan Axelsson<br />
|Level=Bachelor<br />
|Status=Open<br />
}}<br />
In construction of protection against attacks against a communication network, it is necessary to know what attacks ab being launched. To this end a project of designing and evaluating attacks against a vehicle-cloud network is proposed. There is also a possibility for experiments in collaboration with a master thesis project about network communication design and another project about detecting attacks against the network. This bachelor thesis project will be a part of a large research project (CyRev) which invlolves the industrial research institute RISE and the car company Volvo Cars.</div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=Eric_J%C3%A4rpe&diff=4428Eric Järpe2019-10-19T23:50:56Z<p>Eric.jarpe: </p>
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<hr />
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<hr />
<div>{{Person<br />
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<hr />
<div>{{Person<br />
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<hr />
<div>{{Person<br />
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<hr />
<div>{{Person<br />
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|Email=eric.jarpe@hh.se<br />
|Image=EJarpe.jpg<br />
|Office=F511<br />
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<hr />
<div>{{Person<br />
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<hr />
<div>{{Person<br />
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|Position=Senior Lecturer<br />
|Email=eric.jarpe@hh.se<br />
|Image=EJarpe.jpg<br />
|Office=F511<br />
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<hr />
<div>{{Person<br />
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|Given Name=Eric<br />
|Title=PhD<br />
|Cell Phone=+46 729 77 36 26<br />
|Position=Senior Lecturer<br />
|Email=eric.jarpe@hh.se<br />
|Image=EJarpe.jpg<br />
|Office=F511<br />
|Affiliation=Halmstad University<br />
|url=http://dixon.hh.se/erja<br />
|Given_Name=Cristofer<br />
|Family_name=Englund<br />
}}<br />
{{AssignApplicationAreas<br />
|ApplicationArea=Mathematics, Probability, Mathematical Statistics, Cryptology<br />
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{{PublicationsList}}</div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=File:EJarpe.jpg&diff=4413File:EJarpe.jpg2019-10-19T20:22:09Z<p>Eric.jarpe: </p>
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<div></div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=Eric_J%C3%A4rpe&diff=4412Eric Järpe2019-10-19T20:20:01Z<p>Eric.jarpe: </p>
<hr />
<div>{{Person<br />
|Family Name=Järpe<br />
|Given Name=Eric<br />
|Title=PhD<br />
|Cell Phone=+46 729 77 36 26<br />
|Position=Senior Lecturer<br />
|Email=eric.jarpe@hh.se<br />
|Image=EJarpe.jpg<br />
|Office=F511<br />
|Affiliation=Viktoria Swedish ICT<br />
|url=http://dixon.hh.se/erja<br />
|Given_Name=Cristofer<br />
|Family_name=Englund<br />
}}<br />
{{AssignApplicationAreas<br />
|ApplicationArea=Mathematics, Probability, Mathematical Statistics, Cryptology<br />
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{{ShowPerson}}<br />
{{PublicationsList}}<br />
[[Category:Staff]]<br />
<br />
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{{InsertSubjAreas}}<br />
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{{PublicationsList}}</div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=Eric_J%C3%A4rpe&diff=4411Eric Järpe2019-10-19T20:18:50Z<p>Eric.jarpe: </p>
<hr />
<div>{{Person<br />
|Family Name=Järpe<br />
|Given Name=Eric<br />
|Title=PhD<br />
|Cell Phone=+46 729 77 36 26<br />
|Position=Senior Lecturer<br />
|Email=eric.jarpe@hh.se<br />
|Image=EJarpe.jpg<br />
|Office=F511<br />
|Affiliation=Viktoria Swedish ICT<br />
|url=https://www.viktoria.se/people/cristofer-englund<br />
|Given_Name=Cristofer<br />
|Family_name=Englund<br />
}}<br />
{{AssignApplicationAreas<br />
|ApplicationArea=Mathematics, Probability, Mathematical Statistics, Cryptology<br />
}}<br />
{{ShowPerson}}<br />
{{PublicationsList}}<br />
[[Category:Staff]]<br />
<br />
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{{InsertSubjAreas}}<br />
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{{PublicationsList}}</div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=Eric_J%C3%A4rpe&diff=4410Eric Järpe2019-10-19T20:12:09Z<p>Eric.jarpe: </p>
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<div>{{StaffTemplate<br />
|position=Associate professor Mathematical Statistitics <br />
|givenname=Eric<br />
|surname=Järpe<br />
|subject=Mathematics, Probability, Mathematical Statistics, Cryptology<br />
|ptitle=Ph.D.<br />
|office=F 511<br />
|phonenr=035-16 76 53<br />
|cellphonenr=0729-77 36 26<br />
|email=eric.jarpe@hh.se<br />
}}<br />
<br />
<!--Remove or add comments --><br />
<!-- __NOTOC__ --><br />
{{InsertSubjAreas}}<br />
{{InsertProjects}}<br />
{{PublicationsList}}</div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=Detection_of_smart_cars_cyber_attacks&diff=4409Detection of smart cars cyber attacks2019-10-19T20:10:40Z<p>Eric.jarpe: </p>
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<div>{{StudentProjectTemplate<br />
|Summary=For treating the probem of cyber attacks against smart vehicles, new change-point detection and anomaly detection methods by means of statistics and machine learning are developed and evaluated.<br />
|Keywords=Smart vehicles, Cloud security, Change-point detection, Machine learning, Performance measures<br />
|TimeFrame=Spring 2020<br />
|References=Weber et al: Embedded Hybrid Anomaly Detection for Automotive<br />
CAN Communication, Weber et al: Online Detection of Anomalies in Vehicle Signals using Replicator Neural Networks<br />
|Prerequisites=Mathematical statistics, machine learning, programming<br />
|Supervisor=Eric Järpe, Cristofer Englund, Ana Magazinius (RISE Viktoria)<br />
|Level=Master<br />
|Status=Open<br />
}}<br />
As the communication and control of cars, buses and trucks is getting smarter, so are the threats from malicious attempts to compromize security of these vehicles. The problem of detecting and possibly classifying such attempts is approached from the classical statistical change-point detection angle but also from the newer machine learning side. Also hybrid methods could be considered depending on how the project proceeds. The goal is to develop new cloud methods and to evaluate the methods in comparison to state-of-the-art methods used today. Possibly, new performance measures could be constructed in order to better understand how well the suggested methods behave for the environment-specific problems. The methods could possibly be demonstrated in examples with real data. The thesis will be a part of the CyRev research project in collaboration with partners from the industry.</div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=Detection_of_smart_cars_cyber_attacks&diff=4408Detection of smart cars cyber attacks2019-10-19T20:04:44Z<p>Eric.jarpe: Created page with "{{StudentProjectTemplate |Summary=For treating the probem of cyber attacks against smart vehicles, new change-point detection and anomaly detection methods by means of statist..."</p>
<hr />
<div>{{StudentProjectTemplate<br />
|Summary=For treating the probem of cyber attacks against smart vehicles, new change-point detection and anomaly detection methods by means of statistics and machine learning are developed and evaluated.<br />
|Keywords=Smart vehicles, Cloud security, Change-point detection, Machine learning, Performance measures<br />
|TimeFrame=Spring 2020<br />
|References=Weber et al: Embedded Hybrid Anomaly Detection for Automotive<br />
CAN Communication, Weber et al: Online Detection of Anomalies in Vehicle Signals using Replicator Neural Networks<br />
|Prerequisites=Mathematical statistics, machine learning, programming<br />
|Supervisor=Eric Järpe (HH), Cristofer Englund (HH and RISE Viktoria), Ana Magazinius (RISE Viktoria)<br />
|Level=Master<br />
|Status=Open<br />
}}<br />
As the communication and control of cars, buses and trucks is getting smarter, so are the threats from malicious attempts to compromize security of these vehicles. The problem of detecting and possibly classifying such attempts is approached from the classical statistical change-point detection angle but also from the newer machine learning side. Also hybrid methods could be considered depending on how the project proceeds. The goal is to develop new cloud methods and to evaluate the methods in comparison to state-of-the-art methods used today. Possibly, new performance measures could be constructed in order to better understand how well the suggested methods behave for the environment-specific problems. The methods could possibly be demonstrated in examples with real data. The thesis will be a part of the CyRev research project in collaboration with partners from the industry.</div>Eric.jarpehttps://mw.hh.se/caisr/index.php?title=Personnel&diff=4407Personnel2019-10-19T19:48:24Z<p>Eric.jarpe: </p>
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<div>== Staff at Intelligent systems lab ==<br />
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| ?Person Eren Erdal Aksoy<br />
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<hr />
<div>== Staff at Intelligent systems lab ==<br />
{{#ask: [[Category:Staff]] <br />
| ?Person Ereen Erdal Aksoy<br />
| ?Role<br />
| ?Img=Eren.png <br />
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