Publications tagged with "Privacy regulation"

1. Towards privacy-aware software design in small and medium enterprises

   Campanile, L., Iacono, M., & Mastroianni, M. (2022). Towards privacy-aware software design in small and medium enterprises. Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022. https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927958

   Abstract

   The legal definition of privacy regulations, like GDPR in the European Union, significantly impacted on the way in which software, systems and organizations should be designed or maintained to be compliant to rules. While the privacy community stated proper risk assessment and mitigation approaches to be applied, literature seems to suggest that the software engineering community, with special reference to companies, did actually concentrate on the specification phase, with less attention for the test phase of products. In coherence with the privacy-by-design approach, we believe that a bigger methodological effort must be put in the systematic adaptation of software development cycles to privacy regulations, and that this effort might be promoted in the industrial community by focusing on the relation between organizational costs vs technical features, also leveraging the benefits of targeted testing as a mean to lower operational privacy enforcement costs. © 2022 IEEE.

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   {"key"=>"Campanile2022", "type"=>"Conference paper", "bibtex"=>"@conference{Campanile2022,\n  author = {Campanile, Lelio and Iacono, Mauro and Mastroianni, Michele},\n  title = {Towards privacy-aware software design in small and medium enterprises},\n  year = {2022},\n  journal = {Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022},\n  doi = {10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927958}\n}\n", "author"=>"Campanile, Lelio and Iacono, Mauro and Mastroianni, Michele", "author_array"=>[{"first"=>"Lelio", "last"=>"Campanile", "prefix"=>"", "suffix"=>""}, {"first"=>"Mauro", "last"=>"Iacono", "prefix"=>"", "suffix"=>""}, {"first"=>"Michele", "last"=>"Mastroianni", "prefix"=>"", "suffix"=>""}], "author_0_first"=>"Lelio", "author_0_last"=>"Campanile", "author_0_prefix"=>"", "author_0_suffix"=>"", "author_1_first"=>"Mauro", "author_1_last"=>"Iacono", "author_1_prefix"=>"", "author_1_suffix"=>"", "author_2_first"=>"Michele", "author_2_last"=>"Mastroianni", "author_2_prefix"=>"", "author_2_suffix"=>"", "title"=>"Towards privacy-aware software design in small and medium enterprises", "year"=>"2022", "journal"=>"Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022", "doi"=>"10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927958", "url"=>"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145353321&doi=10.1109%2fDASC%2fPiCom%2fCBDCom%2fCy55231.2022.9927958&partnerID=40&md5=708dacdf77560860b78f2fe0500d32d5", "abstract"=>"The legal definition of privacy regulations, like GDPR in the European Union, significantly impacted on the way in which software, systems and organizations should be designed or maintained to be compliant to rules. While the privacy community stated proper risk assessment and mitigation approaches to be applied, literature seems to suggest that the software engineering community, with special reference to companies, did actually concentrate on the specification phase, with less attention for the test phase of products. In coherence with the privacy-by-design approach, we believe that a bigger methodological effort must be put in the systematic adaptation of software development cycles to privacy regulations, and that this effort might be promoted in the industrial community by focusing on the relation between organizational costs vs technical features, also leveraging the benefits of targeted testing as a mean to lower operational privacy enforcement costs.  © 2022 IEEE.", "author_keywords"=>"Agile methodology; GDPR; Nonfunctional requirements; Privacy; Privacy-by-design; Risk analysis; Software design; Software development life cycle (SDLC)", "keywords"=>"Laws and legislation; Life cycle; Risk analysis; Risk assessment; Software testing; Agile Methodologies; GDPR; Legal definition; Non-functional requirements; Privacy; Privacy aware; Privacy regulation; Small-and-medium enterprise; Software development life cycle; Software development life-cycle; Software design", "publication_stage"=>"Final", "source"=>"Scopus", "note"=>"Cited by: 13"}
       

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2. Privacy regulations, smart roads, blockchain, and liability insurance: Putting technologies to work

   Campanile, L., Iacono, M., Levis, A. H., Marulli, F., & Mastroianni, M. (2021). Privacy regulations, smart roads, blockchain, and liability insurance: Putting technologies to work [Article]. IEEE Security and Privacy, 19(1), 34–43. https://doi.org/10.1109/MSEC.2020.3012059

   Abstract

   Smart streets promise widely available traffic information to help improve people’s safety. Unfortunately, gathering that data may threaten privacy. We describe an architecture that exploits a blockchain and the Internet of Vehicles and show its compliance with the General Data Protection Regulation. © 2003-2012 IEEE.

   DOI Publisher Details Copy BibTeX Download .bib

   {"key"=>"Campanile202134", "type"=>"Article", "bibtex"=>"@article{Campanile202134,\n  author = {Campanile, Lelio and Iacono, Mauro and Levis, Alexander H. and Marulli, Fiammetta and Mastroianni, Michele},\n  title = {Privacy regulations, smart roads, blockchain, and liability insurance: Putting technologies to work},\n  year = {2021},\n  journal = {IEEE Security and Privacy},\n  volume = {19},\n  number = {1},\n  pages = {34 – 43},\n  doi = {10.1109/MSEC.2020.3012059}\n}\n", "author"=>"Campanile, Lelio and Iacono, Mauro and Levis, Alexander H. and Marulli, Fiammetta and Mastroianni, Michele", "author_array"=>[{"first"=>"Lelio", "last"=>"Campanile", "prefix"=>"", "suffix"=>""}, {"first"=>"Mauro", "last"=>"Iacono", "prefix"=>"", "suffix"=>""}, {"first"=>"Alexander H.", "last"=>"Levis", "prefix"=>"", "suffix"=>""}, {"first"=>"Fiammetta", "last"=>"Marulli", "prefix"=>"", "suffix"=>""}, {"first"=>"Michele", "last"=>"Mastroianni", "prefix"=>"", "suffix"=>""}], "author_0_first"=>"Lelio", "author_0_last"=>"Campanile", "author_0_prefix"=>"", "author_0_suffix"=>"", "author_1_first"=>"Mauro", "author_1_last"=>"Iacono", "author_1_prefix"=>"", "author_1_suffix"=>"", "author_2_first"=>"Alexander H.", "author_2_last"=>"Levis", "author_2_prefix"=>"", "author_2_suffix"=>"", "author_3_first"=>"Fiammetta", "author_3_last"=>"Marulli", "author_3_prefix"=>"", "author_3_suffix"=>"", "author_4_first"=>"Michele", "author_4_last"=>"Mastroianni", "author_4_prefix"=>"", "author_4_suffix"=>"", "title"=>"Privacy regulations, smart roads, blockchain, and liability insurance: Putting technologies to work", "year"=>"2021", "journal"=>"IEEE Security and Privacy", "volume"=>"19", "number"=>"1", "pages"=>"34 – 43", "doi"=>"10.1109/MSEC.2020.3012059", "url"=>"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090453122&doi=10.1109%2fMSEC.2020.3012059&partnerID=40&md5=adce51b5e8ab8d5d1e0f4610d02140b2", "abstract"=>"Smart streets promise widely available traffic information to help improve people’s safety. Unfortunately, gathering that data may threaten privacy. We describe an architecture that exploits a blockchain and the Internet of Vehicles and show its compliance with the General Data Protection Regulation.  © 2003-2012 IEEE.", "keywords"=>"Data privacy; Laws and legislation; Vehicle to vehicle communications; General data protection regulations; Liability insurance; Privacy regulation; Traffic information; Blockchain", "publication_stage"=>"Final", "source"=>"Scopus", "note"=>"Cited by: 27"}
       

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