Charith Perera, Ciaran Mccormick, Arosha Bandara, Blaine A. Price, Bashar Nuseibeh, Privacy-by-Design Framework for Assessing Internet of Things Applications and Platforms, Proceedings of the 6th ACM International Conference on Internet of Things (IoT), Stuttgart, Germany, November, 2016, Pages 83-92
Charith Perera, Arkady Zaslavsky, Peter Christen, Michael Compton, and Dimitrios Georgakopoulos, Context-aware Sensor Search, Selection and Ranking Model for Internet of Things Middleware, Proceedings of the IEEE 14th International Conference on Mobile Data Management (MDM), Milan, Italy, June, 2013
Charith Perera, Arkady Zaslavsky, Michael Compton, Peter Christen, and Dimitrios Georgakopoulos, Semantic-driven Configuration of Internet of Things Middleware, Proceedings of the 9th International Conference on Semantics, Knowledge & Grids (SKG), Beijing, China, October, 2013
Charith Perera, Arkady Zaslavsky, Peter Christen, Ali Salehi, Dimitrios Georgakopoulos, Capturing Sensor Data from Mobile Phones using Global Sensor Network Middleware, Proceedings of the IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), Sydney, Australia, September, 2012
HICSS-2014-Big Island, Hawaii, United States, 08 January 2014Charith Perera
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, and Dimitrios Georgakopoulos, MOSDEN: An Internet of Things Middleware for Resource Constrained Mobile Devices, Proceedings of the 47th Hawaii International Conference on System Sciences (HICSS), Kona, Hawaii, USA, January, 2014
iThings-2012, Besançon, France, 20 November, 2012Charith Perera
Charith Perera, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos, CA4IOT: Context Awareness for Internet of Things, Proceedings of the IEEE International Conference on Green Computing and Communications, Conference on Internet of Things, and Conference on Cyber, Physical and Social Computing (iThings/CPSCom/GreenCom), Besancon, France, November, 2012
Privacy Mindset for Developing Internet of Things Applications for Social Sen...Charith Perera
Charith Perera, Athanasios Vasilakos, Privacy Mindset for Developing Internet of Things Applications for Social Sensing: Software Engineering Challenges, Proceedings of the 2nd International Workshop on Social Sensing (SocialSense 2017), Pittsburgh, USA, April 2017, Page 103-103 (1)
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos, Sensor Discovery and Configuration Framework for the Internet of Things Paradigm, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
COLLABORATECOM-2013, Austin, Texas, United States, 20 October 2013 Charith Perera
Prem Prakash Jayaraman, Charith Perera, Dimitrios Georgakopoulos and Arkady Zaslavsky, Efficient Opportunistic Sensing using Mobile Collaborative Platform MOSDEN, Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (COLLABORATECOM), Austin, Texas, United States, October, 2013
Charith Perera, Arkady Zaslavsky, Peter Christen, Michael Compton, and Dimitrios Georgakopoulos, Context-aware Sensor Search, Selection and Ranking Model for Internet of Things Middleware, Proceedings of the IEEE 14th International Conference on Mobile Data Management (MDM), Milan, Italy, June, 2013
Charith Perera, Arkady Zaslavsky, Michael Compton, Peter Christen, and Dimitrios Georgakopoulos, Semantic-driven Configuration of Internet of Things Middleware, Proceedings of the 9th International Conference on Semantics, Knowledge & Grids (SKG), Beijing, China, October, 2013
Charith Perera, Arkady Zaslavsky, Peter Christen, Ali Salehi, Dimitrios Georgakopoulos, Capturing Sensor Data from Mobile Phones using Global Sensor Network Middleware, Proceedings of the IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), Sydney, Australia, September, 2012
HICSS-2014-Big Island, Hawaii, United States, 08 January 2014Charith Perera
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, and Dimitrios Georgakopoulos, MOSDEN: An Internet of Things Middleware for Resource Constrained Mobile Devices, Proceedings of the 47th Hawaii International Conference on System Sciences (HICSS), Kona, Hawaii, USA, January, 2014
iThings-2012, Besançon, France, 20 November, 2012Charith Perera
Charith Perera, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos, CA4IOT: Context Awareness for Internet of Things, Proceedings of the IEEE International Conference on Green Computing and Communications, Conference on Internet of Things, and Conference on Cyber, Physical and Social Computing (iThings/CPSCom/GreenCom), Besancon, France, November, 2012
Privacy Mindset for Developing Internet of Things Applications for Social Sen...Charith Perera
Charith Perera, Athanasios Vasilakos, Privacy Mindset for Developing Internet of Things Applications for Social Sensing: Software Engineering Challenges, Proceedings of the 2nd International Workshop on Social Sensing (SocialSense 2017), Pittsburgh, USA, April 2017, Page 103-103 (1)
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos, Sensor Discovery and Configuration Framework for the Internet of Things Paradigm, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
COLLABORATECOM-2013, Austin, Texas, United States, 20 October 2013 Charith Perera
Prem Prakash Jayaraman, Charith Perera, Dimitrios Georgakopoulos and Arkady Zaslavsky, Efficient Opportunistic Sensing using Mobile Collaborative Platform MOSDEN, Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (COLLABORATECOM), Austin, Texas, United States, October, 2013
MobiDE’2012, Phoenix, AZ, United States, 20 May, 2012Charith Perera
Charith Perera, Arkady Zaslavsky, Peter Christen, Ali Salehi, Dimitrios Georgakopoulos, Connecting Mobile Things to Global Sensor Network Middleware using System-generated Wrappers, Proceedings of the 11th ACM International Workshop on Data Engineering for Wireless and Mobile Access (ACM SIGMOD/PODS-Workshop-MobiDE), Scottsdale, Arizona, USA, May, 2012
Arkady Zaslavsky, Charith Perera, Dimitrios Georgakopoulos, Sensing as a Service and Big Data, Proceedings of the International Conference on Advances in Cloud Computing (ACC), Bangalore, India, July, 2012, Pages 21-29 (8)
Charith Perera and Arkady Zaslavsky, Improve the Sustainability of Internet of Things Through Trading-based Value Creation, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web...Amélie Gyrard
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web of Things Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Christian Bonnet, Karima Boudaoud, Martin Serrano
COMPLEX EVENT PROCESSING USING IOT DEVICES BASED ON ARDUINOijccsa
Complex event processing systems have gained importance since recent developments in communication
and integrated circuits technologies. Developers can easily develop many smart space systems by
connecting various sensors to an Arduino as an internet of thing device. These systems are useful for many
places such as factories, greenhouses (plant house) and smart-homes. Especially in plant houses when the
desired humidity, temperature, light and soil moisture drops the certain level, the users should be notified
through their smartphones. The sensor information is sent to a central server over the internet via an
access point. The collected sensor data needs to be processed online to check whether an event is occurred
or not. The event processing system based on a complex event processing tool is created on the central
server. It is also an important issue to inform mobile users whenever an event occurs. A publish-subscribe
event based system is implemented on the central server. A mobile user is subscribed to the desired event
topic. When an event occurred, which is related with a specific topic, an alarm notification is sent to the
mobile users about the event information so as to take necessary precautions.
30th IEEE International Conference onAdvanced Information Networking and Applications (AINA-2016) March 23-25, 2016, Crans-Montana, Switzerland
Connected Smart Cities: Interoperability with SEG 3.0 for the Internet of Things
Semantic Interoperability
Methodology
Linked Open Data
Linked Open Vocabularies
Linked Open Reasoning
Linked Open Services
Internet of Things
Web of Things
Semantic Web of Things
Smart cities
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks,
Fog computing is a term created by Cisco that refers to extending cloud computing to the edge of an enterprise's network.
Cisco introduced its fog computing vision in January 2014 as a way of bringing cloud computing capabilities to the edge of the network .
As the result, closer to the rapidly growing number of connected devices and applications that consume cloud services and generate increasingly massive amounts of data.
DeviceHive is an open-source machine to machine (M2M) communication framework, which helps to resolve IoT project problems. We will be talking about the experience we've gathered in DataArt related to the technical issues taking place on different IoT project stages and how we have used this experience to implement the platform useful for both start-ups and enterprise companies.
ISWC 2016 Tutorial: Semantic Web of Things M3 framework & FIESTA-IoT EU projectFIESTA-IoT
Amelie Gyrard presents a tutorial on SWOT - the Semantic Web of Things.
For further information about this work. Please visit:
http://semantic-web-of-things.appspot.com
The Internet of Things (IoT) is one of the hottest mega-trends in technology – and for good reason , IoT deals with all the components of what we consider web 3.0 including Big Data Analytics, Cloud Computing and Mobile Computing .
Privacy Dynamics: Learning Privacy Norms for Social SoftwareArosha Bandara
Privacy violations in online social networks (OSNs) often arise as a result of users sharing information with unintended audiences. One reason for this is that, although OSN capa- bilities for creating and managing social groups can make it easier to be selective about recipients of a given post, they do not provide enough guidance to the users to make informed sharing decisions. In this paper we present Privacy Dynamics, an adaptive architecture that learns privacy norms for different audience groups based on users’ sharing behaviours. Our architecture is underpinned by a formal model inspired by social identity theory, a social psychology framework for analysing group processes and intergroup relations. Our formal model comprises two main concepts, the group membership as a Social Identity (SI) map and privacy norms as a set of conflict rules. In our approach a privacy norm is specified in terms of the information objects that should be prevented from flowing between two conflicting social identity groups. We implement our formal model by using inductive logic programming (ILP), which automati- cally learns privacy norms. We evaluate the performance of our learning approach using synthesised data representing the sharing behaviour of social network users.
Full Paper: http://oro.open.ac.uk/45951/
Calikli, Gul; Law, Mark; Bandara, Arosha K.; Russo, Alesandra; Dickens, Luke; Price, Blaine A.; Stuart, Avelie; Levine, Mark and Nuseibeh, Bashar (2016). Privacy Dynamics: Learning Privacy Norms for Social Software. In: 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 16-17 May 2016, Austin, Texas, USA, Association of Computing Machinery
SEAMS-2016, 16-17 May, 2016, Austin, Texas, United StatesCharith Perera
Amel Bennaceur, Ciaran McCormick, Jesus Garcia Galan, Charith Perera, Andrew Smith, Andrea Zisman and Bashar Nuseibeh, Feed me, Feed me: An Exemplar for Engineering Adaptive Software, Proceedings of the 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Austin, Texas, May, 2016, Pages 89-95 (7)
MobiDE’2012, Phoenix, AZ, United States, 20 May, 2012Charith Perera
Charith Perera, Arkady Zaslavsky, Peter Christen, Ali Salehi, Dimitrios Georgakopoulos, Connecting Mobile Things to Global Sensor Network Middleware using System-generated Wrappers, Proceedings of the 11th ACM International Workshop on Data Engineering for Wireless and Mobile Access (ACM SIGMOD/PODS-Workshop-MobiDE), Scottsdale, Arizona, USA, May, 2012
Arkady Zaslavsky, Charith Perera, Dimitrios Georgakopoulos, Sensing as a Service and Big Data, Proceedings of the International Conference on Advances in Cloud Computing (ACC), Bangalore, India, July, 2012, Pages 21-29 (8)
Charith Perera and Arkady Zaslavsky, Improve the Sustainability of Internet of Things Through Trading-based Value Creation, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web...Amélie Gyrard
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web of Things Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Christian Bonnet, Karima Boudaoud, Martin Serrano
COMPLEX EVENT PROCESSING USING IOT DEVICES BASED ON ARDUINOijccsa
Complex event processing systems have gained importance since recent developments in communication
and integrated circuits technologies. Developers can easily develop many smart space systems by
connecting various sensors to an Arduino as an internet of thing device. These systems are useful for many
places such as factories, greenhouses (plant house) and smart-homes. Especially in plant houses when the
desired humidity, temperature, light and soil moisture drops the certain level, the users should be notified
through their smartphones. The sensor information is sent to a central server over the internet via an
access point. The collected sensor data needs to be processed online to check whether an event is occurred
or not. The event processing system based on a complex event processing tool is created on the central
server. It is also an important issue to inform mobile users whenever an event occurs. A publish-subscribe
event based system is implemented on the central server. A mobile user is subscribed to the desired event
topic. When an event occurred, which is related with a specific topic, an alarm notification is sent to the
mobile users about the event information so as to take necessary precautions.
30th IEEE International Conference onAdvanced Information Networking and Applications (AINA-2016) March 23-25, 2016, Crans-Montana, Switzerland
Connected Smart Cities: Interoperability with SEG 3.0 for the Internet of Things
Semantic Interoperability
Methodology
Linked Open Data
Linked Open Vocabularies
Linked Open Reasoning
Linked Open Services
Internet of Things
Web of Things
Semantic Web of Things
Smart cities
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks,
Fog computing is a term created by Cisco that refers to extending cloud computing to the edge of an enterprise's network.
Cisco introduced its fog computing vision in January 2014 as a way of bringing cloud computing capabilities to the edge of the network .
As the result, closer to the rapidly growing number of connected devices and applications that consume cloud services and generate increasingly massive amounts of data.
DeviceHive is an open-source machine to machine (M2M) communication framework, which helps to resolve IoT project problems. We will be talking about the experience we've gathered in DataArt related to the technical issues taking place on different IoT project stages and how we have used this experience to implement the platform useful for both start-ups and enterprise companies.
ISWC 2016 Tutorial: Semantic Web of Things M3 framework & FIESTA-IoT EU projectFIESTA-IoT
Amelie Gyrard presents a tutorial on SWOT - the Semantic Web of Things.
For further information about this work. Please visit:
http://semantic-web-of-things.appspot.com
The Internet of Things (IoT) is one of the hottest mega-trends in technology – and for good reason , IoT deals with all the components of what we consider web 3.0 including Big Data Analytics, Cloud Computing and Mobile Computing .
Privacy Dynamics: Learning Privacy Norms for Social SoftwareArosha Bandara
Privacy violations in online social networks (OSNs) often arise as a result of users sharing information with unintended audiences. One reason for this is that, although OSN capa- bilities for creating and managing social groups can make it easier to be selective about recipients of a given post, they do not provide enough guidance to the users to make informed sharing decisions. In this paper we present Privacy Dynamics, an adaptive architecture that learns privacy norms for different audience groups based on users’ sharing behaviours. Our architecture is underpinned by a formal model inspired by social identity theory, a social psychology framework for analysing group processes and intergroup relations. Our formal model comprises two main concepts, the group membership as a Social Identity (SI) map and privacy norms as a set of conflict rules. In our approach a privacy norm is specified in terms of the information objects that should be prevented from flowing between two conflicting social identity groups. We implement our formal model by using inductive logic programming (ILP), which automati- cally learns privacy norms. We evaluate the performance of our learning approach using synthesised data representing the sharing behaviour of social network users.
Full Paper: http://oro.open.ac.uk/45951/
Calikli, Gul; Law, Mark; Bandara, Arosha K.; Russo, Alesandra; Dickens, Luke; Price, Blaine A.; Stuart, Avelie; Levine, Mark and Nuseibeh, Bashar (2016). Privacy Dynamics: Learning Privacy Norms for Social Software. In: 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 16-17 May 2016, Austin, Texas, USA, Association of Computing Machinery
SEAMS-2016, 16-17 May, 2016, Austin, Texas, United StatesCharith Perera
Amel Bennaceur, Ciaran McCormick, Jesus Garcia Galan, Charith Perera, Andrew Smith, Andrea Zisman and Bashar Nuseibeh, Feed me, Feed me: An Exemplar for Engineering Adaptive Software, Proceedings of the 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Austin, Texas, May, 2016, Pages 89-95 (7)
Charith Perera, Saeed Aghaee, Alan Blackwell, Natural Notation for the Domestic Internet of Things , Proceedings of the 5th International Symposium on End-User Development (IS-EUD), Madrid, Spain, May, 2015,
Intel - Copaco Cloud Event 2015 (break-out 3 en 4)Copaco Nederland
Deze presentatie gaat over de impact van ‘Internet of Things’ op de toekomstige samenleving. Elk device krijgt een IP-adres en een processor, zodat mens en machine slimmer en sneller met elkaar kunnen communiceren en we altijd verbonden zijn met de Cloud. Welke kansen biedt dit, en welke uitdagingen moeten we nog tackelen?
More and more organizations are following a Lean model for creating products. This model has been popularized by LeanUX and the Lean Startup movements which emphasize build-test-learn in rapid iterations. This talk (given at Open Web Camp 2012) looks at what has changed in the landscape and the lessons learned in creating user experiences in a lean manner.
Sensing as-a-Service - The New Internet of Things (IOT) Business ModelDr. Mazlan Abbas
Here's a chance to create new business models for Internet of Things. There are tons of benefits to gain from IOT and sensors. Its a matter of time when we can harness the creativity of the IOT Application Developers. Create a healthy eco-system so that everyone benefits.
apidays LIVE Paris 2021 - The GDPR Developer Guide by Jerome Gorin, CNIL apidays
apidays LIVE Paris 2021 - APIs and the Future of Software
December 7, 8 & 9, 2021
The GDPR Developer Guide : Developping a Data protection culture for Developers
Jerome Gorin, Technologist at CNIL (French National Commission for Informatics and Freedoms)
These slides were used at the first Aarhus Follower Group meet-up for the EU-funded project IoTCrawler. They entail an introduction to the project aswell as a more in depth presentation of the difference between web search and Internet of Things (IoT) search an the development of Internet of Things. Furthermore some of the scenarios from the project are presented.
Data Sharing with Sensitive Information Hiding in Data Storage using Cloud Co...ijtsrd
With cloud storage services, users can remotely store their data to the cloud and realize the data sharing with others. Remote data integrity auditing scheme is proposed to guarantee the integrity of the data stored in the cloud. In some common cloud storage systems such as the Electronic Health Records EHRs system, the cloud file might contain some sensitive information. The sensitive information should not be exposed to others when the cloud file is shared. Encrypting the whole shared file can realize the sensitive information hiding, but will make this shared file unable to be used by others. How to realize data sharing with sensitive information hiding in remote data integrity auditing still has not been explored up to now. In order to address this problem, we propose a remote data integrity auditing scheme that realizes data sharing with sensitive information hiding in this system. Paruvathavarthini M | Prasuna K S | Sermakani. A. M ""Data Sharing with Sensitive Information Hiding in Data Storage using Cloud Computing"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30007.pdf
Paper Url : https://www.ijtsrd.com/engineering/information-technology/30007/data-sharing-with-sensitive-information-hiding-in-data-storage-using-cloud-computing/paruvathavarthini-m
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...ijccsa
The introduction of Internet of Things (IoT) applications into daily life has raised serious privacy concerns
among consumers, network service providers, device manufacturers, and other parties involved. This paper
gives a high-level overview of the three phases of data collecting, transmission, and storage in IoT systems
as well as current privacy-preserving technologies. The following elements were investigated during these
three phases:(1) Physical and data connection layer security mechanisms(2) Network remedies(3)
Techniques for distributing and storing data. Real-world systems frequently have multiple phases and
incorporate a variety of methods to guarantee privacy. Therefore, for IoT research, design, development,
and operation, having a thorough understanding of all phases and their technologies can be beneficial. In
this Study introduced two independent methodologies namely generic differential privacy (GenDP) and
Cluster-Based Differential privacy ( Cluster-based DP) algorithms for handling metadata as intents and
intent scope to maintain privacy and security of IoT data in cloud environments. With its help, we can
virtual and connect enormous numbers of devices, get a clearer understanding of the IoT architecture, and
store data eternally. However, due of the dynamic nature of the environment, the diversity of devices, the
ad hoc requirements of multiple stakeholders, and hardware or network failures, it is a very challenging
task to create security-, privacy-, safety-, and quality-aware Internet of Things apps. It is becoming more
and more important to improve data privacy and security through appropriate data acquisition. The
proposed approach resulted in reduced loss performance as compared to Support Vector Machine (SVM) ,
Random Forest (RF) .
Open Source Platforms Integration for the Development of an Architecture of C...Eswar Publications
The goal of the Internet of Things (IoT) is to achieve the interconnection and interaction of all kind of everyday
objects. IoT architecture can be implemented in various ways. This paper presents a way to mount an IoT architecture using open source hardware and software platforms and shows that this is a viable option to collect information through various sensors and present it through a web page.
Fog Computing – between IoT Devices and The Cloud presentation covers following topics:
- Edge, Fog, Mist & Cloud Computing
- Fog domains and fog federation, wireless sensor networks, - multi-layer IoT architecture
- Fog computing standards and specifications
- Practical use-case scenarios & advantages of fog
- Fog analytics and intelligence on the edge
- Technologies for distributed asynchronous event processing - and analytics in real time
- Lambda architecture – Spark, Storm, Kafka, Apex, Beam, Spring - Reactor & WebFlux
- Eclipse IoT platform
Cloud Forensics: Drawbacks in Current Methodologies and Proposed SolutionIJERA Editor
Cloud Computing is a heavily evolving domain in technology. Many public and private entities are shifting their workstations on the cloud due to its robust, remote, virtual environment. Due to the enormity of this domain, it has become increasingly easier to carry out any sort of malicious attacks on such cloud platforms. There is a very low research done to develop the theory and practice of cloud forensics. One of the main challenges includes the inability to collect enough evidence from each and every subscriber of a Cloud Service Provider(CSP) and thus not being able to trace out the roots of the malicious activity committed. In this paper we compare past research done in this field and address the gaps and loopholes in the frameworks previously suggested. Overcoming these, our system/framework facilitates the collection, organization, and thereby the analysis of the evidence sought, hence preserving the essential integrity of the sensitive and volatile data.
The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
Privacy preserving data mining is an important
issue nowadays for data mining. Since various organizations
and people are generating sensitive data or information these
days. They don’t want to share their sensitive data however
that data can be useful for data mining purpose. So, due to
privacy preserving mining that data can be mined usefully
without harming the privacy of that data. Privacy can be
preserved by applying encryption on database which is to be
mined because now the data is secure due to encryption. Code
profiling is a field in software engineering where we can
apply data mining to discover some knowledge so that it will
be useful in future development of software. In this work we
have applied privacy preserving mining in code profiling data
such as software metrics of various codes. Results of data
mining on actual and encrypted data are compared for
accuracy. We have also analyzed the results of privacy
preserving mining in code profiling data and found
interesting results.
Complexity of IOT/IOE Architectures for Smart Service Infrastructures Panel:...Paolo Nesi
The complexity of smart and sentient applications in smart cities is progressively increasing.
to reach higher precision.
time series prediction artificial intelligent, machine learning
Single data sets multi data sets, and big data: addressing heterogeneity, low quality and discontinuity, etc.
integration of open data, real time data and private IOT / personal data is increasing complexity of cyber-physical-social aspects:
to have the full control on the rights associated to their content
GDPR normative (since May 2018 in force) to regulate the access and control of privacy
I am bringing the experience of addressing
GDPR and Security and into Smart City Solutions with IOT
-----smart city impact----------------
Signed Consent vs Informed Consent
Smart Applications exploit personal data about (for example)
user position and actions for providing geolocated suggestions
home/work position, trajectories,
Payments and traces from bike sharing, from navigators, etc.
body signals/data for monitoring healthiness (glucose, temperature, etc.), for training sport, ..
User actions on applications: choices on menu, queries performed, mobile phones, requested paths, payments, etc.
IOT Devices data: mobile, buttons, trackers, but also temperature in house; position of our dogs, children, cars, bikes, …
etc.
----GDPR: General Data Protection Regulation ---
Users are going to decide to:
provide access to who, for do what, until we consent
accept terms of use by signed consent for each data management service, before was a simple informed consent
from each service, the user has to be capable to
See what the provider collect in terms of its Data Type: traces, logs, paths, profiles, accesses, IOT devices, sensors, maps, etc.
Download, delete, inspect each single Data Type
Auditing and Revoke access or grant access right to each single Data Type
Delete all Data Types in single shot or singularly (forget all about me)
Similar to IOT-2016 7-9 Septermber, 2016, Stuttgart, Germany (20)
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
The Internet of Things (IoT) is a revolutionary concept that connects everyday objects and devices to the internet, enabling them to communicate, collect, and exchange data. Imagine a world where your refrigerator notifies you when you’re running low on groceries, or streetlights adjust their brightness based on traffic patterns – that’s the power of IoT. In essence, IoT transforms ordinary objects into smart, interconnected devices, creating a network of endless possibilities.
Here is a blog on the role of electrical and electronics engineers in IOT. Let's dig in!!!!
For more such content visit: https://nttftrg.com/
1. Privacy-‐by-‐Design Framework
for
Assessing
Internet
of
Things
Applications
and
Platforms
Charith
Perera,
Ciaran
McCormick,
Arosha
K.
Bandara,
Blaine
Price,
Bashar
Nuseibeh
The
6th
International
Conference
on
the
Internet
of
Things
(IoT
2016)
November
7–9,
2016
in
Stuttgart,
Germany.
2. Internet
of
Things
• The
Internet
of
Things
(IoT)
is
“…the
network
of
physical
objects—
devices,
vehicles,
buildings
and
other
items—embedded
with
electronics,
software,
sensors,
and
network
connectivity
that
enables
these
objects
to
collect
and
exchange
data…”#
• By
2020,
there
will
be
50
to
100
billion
devices
(i.e.
things,
sensors,
smart
objects)
connected
to
the
Internet*
#
International
Telecommunication
Union,
Internet
of
Things
Global
Standards
Initiative,
2015,
http://www.itu.int/en/ITU-‐T/gsi/iot/Pages/default.aspx
*
International
Data
Corporation
(IDC)
Corporate
USA,
“Worldwide
smart
connected
device
shipments,”
March
2012,
http://www.idc.com/getdoc.jsp?containerId=prUS23398412
3. Application
Development
Desktop
Application
Mobile
Application
Web
Application
Application
• Processing
happens
locally
• UI
sits
locally
• Processing
happens
locally
complemented
by
cloud
resources
• UI
sits
locally
• Processing
happens
remotely
• UI
sits
locally
4. Internet
of
Things
Application
Development
BeagleBone
Waspmote
Raspberry PiArdunio
Gadgeteer
Dragonboard 410C
• NO Operating System
• Less Powerful
• OS Driven
• More Powerful
Cloud Computing
• Unlimited Computational
Resources*
6. Privacy-‐by-‐Design
• IoT
applications
are
complex
by
nature
as
they
involve
both
software
and
hardware
as
well
as
many
different
types
of
computational
devices
(e.g.,
sensors,
gateways,
cloud)
• Privacy
is
a
significant
problem
in
IoT
applications
because
they
handle
data
that
can
be
used
to
derive
very
sensitive
personal
information
7. Why
hasn’t
privacy
been
a
priority?
• IoT
systems
(applications,
service,
platforms)
are
still
new;
Not
mature
enough
• Most
IoT
platforms
follow
the
philosophy
“You
feed
your
data
to
our
platform,
we
do
the
processing
and
give
you
back
the
results”
• Current
IoT
platform
providers
assume,
anyone
who
uses
their
platform
has
the
full
ownership
of
the
data
they
feed.
(In
reality
this
is
not
the
case
always)
• Therefore,
privacy
is
not
a
major
concern
for
IoT
platform
providers.
8. Our
Motivation
and
Proposed
solution
• There
isn’t
any
process/methodology/framework
to
help
software
architects
in
assessing
and
designing
IoT
applications
• Existing
frameworks
are
not
prescriptive
enough
to
follow
by
an
engineer
(We
discuss
them
few
slides
later)
• Recent
Security
and
Privacy
Violations:
HACKING
IoT:
A
Case
Study
on
Baby
Monitor
Exposures
and
Vulnerabilities#
• Therefore,
we
wanted
to
build
a
Privacy-‐by-‐design
framework
that
can
guide
software
architects
in
assessing
IoT
application.
#
https://www.rapid7.com/docs/Hacking-‐IoT-‐A-‐Case-‐Study-‐on-‐Baby-‐Monitor-‐Exposures-‐and-‐Vulnerabilities.pdf
9. BUT
IT
IS
NOT
….
• Guidelines
SHOULD
NOT
be
used
to
compare
different
IoT
application
or
platforms.
• The
primary
reason
is
that
each
IoT
application
or
platforms
is
designed
to
serve
a
specific
purpose
or
category
of
application.
Focus:
Enterprise
middleware
platform
for
Smart
Cities
and
Businesses
Focus:
Smart
Home
Automation
10. What
is
out
there
?
(Literature)
Privacy
by
Design
Foundational
Principles
-‐ Ann
Cavoukian*
1) Proactive
not
reactive;
preventative
not
remedial
2) Privacy
as
the
default
setting
3) Privacy
embedded
into
design
4) Full
functionality
positive-‐sum,
not
zero-‐sum
5) End-‐to-‐end
security-‐full
life-‐cycle
protection
6) Visibility
and
transparency-‐ keep
it
open
7) Respect
for
user
privacy,
keep
it
user-‐centric
*A.
Cavoukian,
“Resolution
on
privacy
by
design,”
in
32nd
International
Conference
of
Data
Protection
and
Privacy
Commissioners,
2010.
11. What
is
out
there
?
(Literature)
LINDDUN
– Deng
et
al.*
*M.
Deng,
K.
Wuyts,
R.
Scandariato,
B.
Preneel,
and
W.
Joosen,
“A
privacy
threat
analysis
framework:
supporting
the
elicitation
and
fulfillment of
privacy
requirements,”
Requirements
Engineering,
vol.
16,
no.
1,
pp.
3–32,
2011.
This
is
a
privacy
threat
analysis
framework
that
uses
data
flow
diagrams
(DFD)
to
identify
privacy
threats.
1) Define
the
DFD
2) Map
privacy
threats
to
DFD
elements
3) Identify
threat
scenarios
4) Prioritize
threats
5) Elicit
mitigation
strategies
6) Select
corresponding
PETS
12. What
is
out
there
?
(Literature)
*J.-‐H.
Hoepman,
"Privacy
Design
Strategies,"
in
ICT
Systems
Security
and
Privacy
Protection,
vol.
428,
N.
Cuppens-‐Boulahia,
F.
Cuppens,
S.
Jajodia,
A.
Abou El
Kalam and
T.
Sans,
Eds.,
Springer
Berlin
Heidelberg,
2014,
pp.
446-‐459.
Privacy
Design
Strategies
–Hoepman*
1) Minimize
2) Hide
3) Separate
4) Aggregate
5) Inform
6) Control
7) Enforce
8) Demonstrate
• We
determined
that
Hoepman’s
is
the
most
appropriate
starting
point
for
developing
a
more
detailed
privacy-‐by-‐design
• Primarily
because
this
framework
already
focuses
on
the
architectural
aspects
of
privacy
design
13. IoT
Data
Flow
View
CDA
DPP
DPADS
DD
CDA
DPP
DPADS
DD
CDA
DPP
DPADS
DD
CDA
DPP
DPA
DS
DD
Consent
and
Data
Acquisition
Data
Pre-‐Processing
Data
Processing
and
Analysis
Data
Storage
Data
Dissemination
14. Privacy
By
Design
Guidelines
1) Minimise data acquisition
2) Minimise number of data sources
3) Minimise raw data intake
4) Minimize knowledge discovery
5) Minimize data storage
6) Minimize data retention period
7) Hidden data routing
8) Data anonymization
9) Encrypted data communication
10) Encrypted data processing
11) Encrypted data storage
12) Reduce data granularity
13) Query answering
14) Repeated query blocking
15) Distributed data processing
16) Distributed data storage
17) Knowledge discovery based aggregation
18) Geography based aggregation
19) Chain aggregation
20) Time-Period based aggregation
21) Category based aggregation
22) Information Disclosure
23) Control
24) Logging
25) Auditing
26) Open Source
27) Data Flow Diagrams (DFD)
28) Certification
29) Standardization
30) Compliance with Policy, Law, Regulations
MINIMISEHIDESEPARATE
AGGREGATIONDEMONSTRATE
INFORM
CONTROL
/
ENFORCE
15. Evaluation
of
Privacy
Capabilities:
Methodology
• Step
1:
Identify
how
data
flows
in
the
existing
application
or
platform
• Step
2:
Build
a
table
for
each
node
where
columns
represent
data
life
cycle
phases
and
rows
represent
each
privacy-‐by-‐design
guideline.
• Step
3:
Depending
on
the
level
of
detail
which
software
architects
wish
to
explore,
they
can
either
use
(1)
a
summarised
colour
coding
base
scheme
(2)
a
notes
based
scheme
17. Platforms
We
Assessed
http://www.eclipse.org/smarthome/ https://github.com/OpenIotOrg/openiot
• Focus:
Enterprise
middleware
platform
for
Smart
Cities
and
Businesses
• Middleware
infrastructure
supports
flexible
configuration
and
deployment
of
algorithms
for
collecting,
and
filtering
information
streams
stemming
from
internet
connected
objects
• Focus:
Smart
Home
Automation
• Platform
for
integrating
different
home
automation
systems
and
technologies
into
one
single
solution
that
allows
over-‐
arching
automation
rules
and
uniform
user
interfaces
19. Research
Directions
• Can
1)
Novice
2)
Experience
Software
architects
assess
a
given
platform
using
the
proposed
guidelines
consistently?
If
there
are
variation,
why?
• Given
a
case
study,
can
privacy
guidelines
guide
1)
Novice
2)
Experience
Towards
a better privacy-‐aware
IoT
applications
Evaluation
Future
work
• Privacy
Tactics
-‐ Tactics
are
design
decisions
that
improve
individual
quality
attribute
(e.g.
Privacy)
concerns.
[Basic
building
blocks]
• Privacy
Patterns
-‐ Patterns describe
the
high-‐level
structure
and
behaviour
of
software
systems
as
the
solution
to
multiple
system
requirements
[Complex
Compositions]