skip to main content


Title: Anticipatory Ethics for a Future Internet: Analyzing Values During the Design of an Internet Infrastructure
Award ID(s):
1421876
NSF-PAR ID:
10042514
Author(s) / Creator(s):
Date Published:
Journal Name:
Science and Engineering Ethics
Volume:
21
Issue:
1
ISSN:
1353-3452
Page Range / eLocation ID:
1 to 18
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. null (Ed.)
    The number of Internet-of-Things (IoT) devices actively communicating across the Internet is continually increasing, as these devices are deployed across a variety of sectors, constantly transferring private data across the Internet. Due to the extensive deployment of such devices, the continuous discovery and persistence of IoT-centric vulnerabilities in protocols, applications, hardware, and the improper management of such IoT devices has resulted in the rampant, uncontrolled spread of malware threatening consumer IoT devices. To this end, this work adopts a novel, macroscopic methodology for fingerprinting Internet-scale compromised IoT devices, revealing crucial cyber threat intelligence on the insecurity of consumer IoT devices. By developing data-driven techniques rooted in machine learning methods and analyzing 3.6 TB of network traffic data, we discover 855,916 compromised IP addresses, with 310,164 fingerprinted as IoT. Further analysis reveals China and Brazil to be hosting the most significant population of compromised IoT devices (100,000 and 55,000, respectively). Additionally, we provide a longitudinal analysis on data from one year ago against this work, revealing the evolving trends of IoT exploitation, such as the increased number of vendors targeted by malware, rising from 50 to 131. Moreover, countries such as China (420% increased infected IoT count) and Indonesia (177% increased infected IoT count) have seen notably high increases in infection rates. Last, we compare our geographic results against Global Cybersecurity Index (GCI) ratings, verifying that countries with high GCI ratings, such as the Netherlands and Germany, had relatively low infection rates. However, upon further inspection, we find that the GCI rate does not accurately represent the consumer IoT market, with countries such as China and Russia being rated with “high” CGI scores, yet hosting a large population of infected consumer IoT devices. 
    more » « less
  2. The objective of this research paper is to provide a methodology for measuring the financial impacts of Internet outages. The financial impacts are measured against a Nation’s Gross Domestic Product (GDP) for several states in India to project the aftermath of Internet outage episodes. In addition historical trends are analyzed to help derive predictive logic for Internet outages in order to forecast Internet shutdown incidents based on antecedent events. Results demonstrate the proposed method for determining economic loss highlights several factors and may at times be influenced by the frequency of events compared to overall size of GDP. In addition, historical trend analysis of Internet outages suggests that a predictive model to forecast future outages can help reveal underlying policies toward Internet censorship. 
    more » « less
  3. null (Ed.)