@Misc{Heidemann14b,
	author = 	"John Heidemann",
	title = 	"Sharing Network Data: Bright Gray Days Ahead",
	howpublished = "Keynote talk at Passive and Active
                  Measurements Conference",
	month = 	mar,
	year = 	2014,
	sortdate = 	"2014-03-01",
	project = "ant, lacrend",
	jsubject = "network_observation",
	jlocation = 	"johnh: pafile",
	keywords = 	"data sharing, predict, lander, lacrend, keynote",
	url =		"https://ant.isi.edu/%7ejohnh/PAPERS/Heidemann14b.html",
	pdfurl =	"https://ant.isi.edu/%7ejohnh/PAPERS/Heidemann14b.pdf",
	myorganization =	"USC/Information Sciences Institute",
	copyrightholder = "authors",
	abstract = "
Sharing data is what we expect as a community.  From the IMC best
paper award requiring a public dataset to NSF data management plans,
we know that data is crucial to reproducible science.  Yet privacy
concerns today make data acquisition difficult and sharing harder
still.  AOL and Netflix have released anonymized datasets that leaked
customer information, at least for a few customers and with some
effort.  With the EU suggesting that IP addresses are personally
identifiable information, are we doomed to IP-address free ``Internet''
datasets? \newline \indent
In this talk I will explore the issues in data sharing, suggesting
that we need to move beyond black and white definitions of private and
public datasets, to embrace the gray shades of data sharing in our
future.  Gray need not be gloomy.  I will discuss some new ideas in
sharing that suggest that, if we move beyond ``anonymous ftp'' as our
definition, the future may be gray but bright.
",
}

%	correcttitle = 	"{T-DNS}: Connection-Oriented {DNS} to Improve Privacy and Security",

{"_id":"qmETQJLy4kxDKi3jB","bibbaseid":"heidemann-sharingnetworkdatabrightgraydaysahead-2014","author_short":["Heidemann, J."],"bibdata":{"bibtype":"misc","type":"misc","author":[{"firstnames":["John"],"propositions":[],"lastnames":["Heidemann"],"suffixes":[]}],"title":"Sharing Network Data: Bright Gray Days Ahead","howpublished":"Keynote talk at Passive and Active Measurements Conference","month":"March","year":"2014","sortdate":"2014-03-01","project":"ant, lacrend","jsubject":"network_observation","jlocation":"johnh: pafile","keywords":"data sharing, predict, lander, lacrend, keynote","url":"https://ant.isi.edu/%7ejohnh/PAPERS/Heidemann14b.html","pdfurl":"https://ant.isi.edu/%7ejohnh/PAPERS/Heidemann14b.pdf","myorganization":"USC/Information Sciences Institute","copyrightholder":"authors","abstract":"Sharing data is what we expect as a community. From the IMC best paper award requiring a public dataset to NSF data management plans, we know that data is crucial to reproducible science. Yet privacy concerns today make data acquisition difficult and sharing harder still. AOL and Netflix have released anonymized datasets that leaked customer information, at least for a few customers and with some effort. With the EU suggesting that IP addresses are personally identifiable information, are we doomed to IP-address free ``Internet'' datasets? \\newline ∈dent In this talk I will explore the issues in data sharing, suggesting that we need to move beyond black and white definitions of private and public datasets, to embrace the gray shades of data sharing in our future. Gray need not be gloomy. I will discuss some new ideas in sharing that suggest that, if we move beyond ``anonymous ftp'' as our definition, the future may be gray but bright. ","bibtex":"@Misc{Heidemann14b,\n\tauthor = \t\"John Heidemann\",\n\ttitle = \t\"Sharing Network Data: Bright Gray Days Ahead\",\n\thowpublished = \"Keynote talk at Passive and Active\n Measurements Conference\",\n\tmonth = \tmar,\n\tyear = \t2014,\n\tsortdate = \t\"2014-03-01\",\n\tproject = \"ant, lacrend\",\n\tjsubject = \"network_observation\",\n\tjlocation = \t\"johnh: pafile\",\n\tkeywords = \t\"data sharing, predict, lander, lacrend, keynote\",\n\turl =\t\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Heidemann14b.html\",\n\tpdfurl =\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Heidemann14b.pdf\",\n\tmyorganization =\t\"USC/Information Sciences Institute\",\n\tcopyrightholder = \"authors\",\n\tabstract = \"\nSharing data is what we expect as a community. From the IMC best\npaper award requiring a public dataset to NSF data management plans,\nwe know that data is crucial to reproducible science. Yet privacy\nconcerns today make data acquisition difficult and sharing harder\nstill. AOL and Netflix have released anonymized datasets that leaked\ncustomer information, at least for a few customers and with some\neffort. With the EU suggesting that IP addresses are personally\nidentifiable information, are we doomed to IP-address free ``Internet''\ndatasets? \\newline \\indent\nIn this talk I will explore the issues in data sharing, suggesting\nthat we need to move beyond black and white definitions of private and\npublic datasets, to embrace the gray shades of data sharing in our\nfuture. Gray need not be gloomy. I will discuss some new ideas in\nsharing that suggest that, if we move beyond ``anonymous ftp'' as our\ndefinition, the future may be gray but bright.\n\",\n}\n\n%\tcorrecttitle = \t\"{T-DNS}: Connection-Oriented {DNS} to Improve Privacy and Security\",\n","author_short":["Heidemann, J."],"bibbaseid":"heidemann-sharingnetworkdatabrightgraydaysahead-2014","role":"author","urls":{"Paper":"https://ant.isi.edu/%7ejohnh/PAPERS/Heidemann14b.html"},"keyword":["data sharing","predict","lander","lacrend","keynote"],"metadata":{"authorlinks":{}}},"bibtype":"misc","biburl":"https://bibbase.org/f/dHevizJoWEhWowz8q/johnh-2023-2.bib","dataSources":["YLyu3mj3xsBeoqiHK","fLZcDgNSoSuatv6aX","fxEParwu2ZfurScPY","7nuQvtHTqKrLmgu99"],"keywords":["data sharing","predict","lander","lacrend","keynote"],"search_terms":["sharing","network","data","bright","gray","days","ahead","heidemann"],"title":"Sharing Network Data: Bright Gray Days Ahead","year":2014}