01819nas a2200229   4500008004100000022001400041245007300055210006900128260004200197300001000239490000600249520116600255653001301421653001801434653001801452653002301470653000801493653001201501653001801513100002101531856003701552       2017                        eng d  a1927-032100aBig Data and Individual Privacy in the Age of the Internet of Things0 aBig Data and Individual Privacy in the Age of the Internet of Th  aOttawabTalent First Networkc04/2017  a12-240 v73 aThe availability of “big data” and “smart” products are credited with advancing solutions to complex problems in medicine, transportation, and education, among others. However, with big data comes big responsibility. The collection, storage, sharing, and analysis of data are far outpacing individual privacy protections, whether technological or legislative. The Internet of Things (IoT), with its promise to create networks of networks, will magnify individual data privacy threats. Recent data breaches, exposing the personal information of millions of users, provide insight into the vulnerability of personal data. Although seemingly expansive, there are core individual privacy issues that are central to current big data breaches and anticipated IoT threats. This article examines both big data and the IoT using examples of data privacy breaches to illustrate the impact of individual data loss. Furthermore, the article examines the complexity of tackling technological and legislative challenges in protecting individual privacy. It concludes by summarizing these issues in terms of the future implications of the IoT and the loss of privacy. 10abig data10acybersecurity10adata breaches10aInternet of Things10aIOT10aprivacy10asmart devices1 aAdams, Mackenzie  uhttp://timreview.ca/article/106700919nas a2200349   4500008004100000022001400041245004200055210003900097260004200136300000800178490000600186653002200192653001500214653001300229653001800242653001600260653002100276653002300297653000800320653001600328653002000344653001200364653001400376653002000390653002500410653001800435653002200453653002000475100001800495700001900513856003700532       2017                        eng d  a1927-032100aEditorial: Cybersecurity (April 2017)0 aEditorial Cybersecurity April 2017  aOttawabTalent First Networkc04/2017  a3-40 v710aanomaly detection10aautomation10abig data10acybersecurity10aexploration10aHypponen’s law10aInternet of Things10aIOT10alegislation10amedical devices10aprivacy10areal time10arisk assessment10asecurity engineering10asmart devices10avalue proposition10avulnerabilities1 aMcPhee, Chris1 aWeiss, Michael  uhttp://timreview.ca/article/106500843nas a2200313   4500008004100000022001400041245004000055210003700095260004200132300000800174490000600182653002400188653002000212653001100232653001800243653002100261653003300282653001700315653002300332653000800355653001600363653001600379653001400395653002000409653002200429653002300451100001800474856003700492       2017                        eng d  a1927-032100aEditorial: Insights (November 2017)0 aEditorial Insights November 2017  aOttawabTalent First Networkc11/2017  a3-40 v710aacademic publishing10abusiness models10acities10acollaboration10aentrepreneurship10afourth industrial revolution10aIndustry 4.010aInternet of Things10aIOT10aliving labs10aopen access10aopen data10aOpen innovation10asocial innovation10avalue propositions1 aMcPhee, Chris  uhttp://timreview.ca/article/111501737nas a2200277   4500008004100000022001400041245010200055210006900157260004200226300000900268490000600277520092300283653001401206653001801220653002101238653002301259653000801282653001601290653001801306653002501324653001801349653001801367100002001385700001701405856003701422       2017                        eng d  a1927-032100aThe Internet of (Vulnerable) Things: On Hypponen's Law, Security Engineering, and IoT Legislation0 aInternet of Vulnerable Things On Hypponens Law Security Engineer  aOttawabTalent First Networkc04/2017  a5-110 v73 aThe Internet of Things (IoT) and the resulting network-connectedness of everyday objects and appliances in our lives bring not only new features and possibilities, but also significant security concerns. These security concerns have resulted in vulnerabilities ranging from those limited in effect to a single device to vulnerabilities that have enabled IoT-based botnets to take over hundreds of thousands of devices to be used for illegal purposes. This article discusses the vulnerable nature of the IoT – as symbolized by Hypponen’s law – and the parts both manufacturers and consumers play in these vulnerabilities. This article makes the case for the importance of security engineering for IoT manufacturers, highlights some significant issues to help consumers address these vulnerabilities, and argues for legislation as perhaps the only reliable means of securing the Internet and its connected devices.10aconsumers10acybersecurity10aHypponen’s law10aInternet of Things10aIOT10alegislation10amanufacturers10asecurity engineering10asmart devices10avulnerability1 aHypponen, Mikko1 aNyman, Linus  uhttp://timreview.ca/article/106600731nas a2200265   4500008004100000022001400041245006600055210006100121260004200182300001000224490000600234653001800240653002300258653000800281653001500289653001000304653001300314653001300327100001900340700001900359700001600378700001800394700001600412856003700428       2017                        eng d  a1927-032100aTIM Lecture Series – Building Trust in an IoT-Enabled World0 aTIM Lecture Series Building Trust in an IoTEnabled World  aOttawabTalent First Networkc06/2017  a50-540 v710acybersecurity10aInternet of Things10aIOT10aransomware10atrust10aWannaCry10awireless1 aWatson, Jeremy1 aMarshall, John1 aYoung, Mike1 aSmetny, Peter1 aMann, David  uhttp://timreview.ca/article/108400729nas a2200229   4500008004100000022001400041245010200055210006900157260004200226300001000268490000600278653003200284653001800316653001800334653001200352653002400364653002700388653002300415653000800438100001700446856003600463       2015                        eng d  a1927-032100aTIM Lecture Series – The Internet of Everything: Fridgebots, Smart Sneakers, and Connected Cars0 aTIM Lecture Series The Internet of Everything Fridgebots Smart S  aOttawabTalent First Networkc05/2015  a47-490 v510aConsumer Internet of Things10acyber-attacks10acybersecurity10ahackers10aIndustrial Internet10aInternet of Everything10aInternet of Things10aIOT1 aGreene, Jeff  uhttp://timreview.ca/article/89802420nas a2200253   4500008004100000022001400041245005700055210005700112260004200169300000900211490000600220520173600226653001901962653001601981653001401997653002302011653000802034653001002042653001702052100002102069700001902090700002102109856003602130       2014                        eng d  a1927-032100aDesigning Business Models for the Internet of Things0 aDesigning Business Models for the Internet of Things  aOttawabTalent First Networkc07/2014  a5-140 v43 aThis article investigates challenges pertaining to business model design in the emerging context of the Internet of Things (IOT). The evolution of business perspectives to the IOT is driven by two underlying trends: i) the change of focus from viewing the IOT primarily as a technology platform to viewing it as a business ecosystem; and ii) the shift from focusing on the business model of a firm to designing ecosystem business models. An ecosystem business model is a business model composed of value pillars anchored in ecosystems and focuses on both the firm's method of creating and capturing value as well as any part of the ecosystem's method of creating and capturing value. The article highlights three major challenges of designing ecosystem business models for the IOT, including the diversity of objects, the immaturity of innovation, and the unstructured ecosystems. Diversity refers to the difficulty of designing business models for the IOT due to a multitude of different types of connected objects combined with only modest standardization of interfaces. Immaturity suggests that quintessential IOT technologies and innovations are not yet products and services but a "mess that runs deep". The unstructured ecosystems mean that it is too early to tell who the participants will be and which roles they will have in the evolving ecosystems. The study argues that managers can overcome these challenges by using a business model design tool that takes into account the ecosystemic nature of the IOT. The study concludes by proposing the grounds for a new design tool for ecosystem business models and suggesting that "value design" might be a more appropriate term when talking about business models in ecosystems.10abusiness model10adesign tool10aecosystem10aInternet of Things10aIOT10avalue10avalue design1 aWesterlund, Mika1 aLeminen, Seppo1 aRajahonka, Mervi  uhttp://timreview.ca/article/807