About

Alberto Dainotti is an Associate Professor in the School of Computer Science at the College of Computing at Georgia Tech. His research is at the intersection of Internet measurement, data science, and cybersecurity. He is interested in understanding when and how Internet infrastructure can fail and proposing remedies. To this end, he develops methods and builds near-real-time streaming data analytics systems such as IODA, BGPStream, and GRIP that combine diverse data to monitor and improve Internet infrastructure security and reliability. Additionally, he is interested in understanding the political motivations and implications of Internet cybersecurity events and phenomena, which led him to start a series of small workshops on Internet Measurement and Political Science in 2014. Prior to joining Georgia Tech, he was an Associate Research Scientist and Principal Investigator at CAIDA, the Center for Applied Internet Data Analysis at the San Diego Supercomputer Center, University of California San Diego. He received his Ph.D. in Computer Engineering and Systems from the University of Napoli 'Federico II' in Italy in 2008.

Research topics

• Computer Science
• Computer Security
• Data Mining
• World Wide Web
• Business
• Cartography
• Data science
• Geography

Selected publications

• InetIntel/Dataset-AS2Web: AS2Web — first Zenodo release

  Open MIND · 2026-04-18

  otherOpen accessSenior author

  What this is: First Zenodo-archived release of the AS2Web dataset repository (includes the full history of snapshots currently in the repo). Coverage: Historical monthly snapshots are already available under data/YYYY-MM/... (and will continue to be maintained). Stable citation: Please cite the Zenodo concept DOI for the dataset. License / AUA: Use of this dataset is subject to the Acceptable Use Agreement (AUA) and license terms in the GitHub repository: LICENSE. Going forward: We will continue updating this GitHub repository every 6 months; please refer to the repository for the latest snapshots.

  PublisherDOI

• Iran’s latest internet blackout extends to phones and Starlink

  2026-01-16

  articleSenior author
  PublisherDOI

• InetIntel/Dataset-AS2Biz: AS2Biz — first Zenodo release

  Zenodo (CERN European Organization for Nuclear Research) · 2026-04-19

  otherOpen accessSenior author

  What this is: First Zenodo-archived release of the AS2Biz dataset repository (includes the full history of snapshots currently in the repo). Coverage: Historical snapshots are already available under data/YYYY-MM/... (and will continue to be maintained). Stable citation: Please cite the Zenodo concept DOI for the dataset. License / AUA: Use of this dataset is subject to the Acceptable Use Agreement (AUA) and license terms in the GitHub repository: LICENSE. Going forward: We will continue updating this GitHub repository every 6 months; please refer to the repository for the latest snapshots.

  PublisherDOI

• InetIntel/Dataset-AS2Biz: AS2Biz — first Zenodo release

  Open MIND · 2026-04-19

  otherOpen accessSenior author

  What this is: First Zenodo-archived release of the AS2Biz dataset repository (includes the full history of snapshots currently in the repo). Coverage: Historical snapshots are already available under data/YYYY-MM/... (and will continue to be maintained). Stable citation: Please cite the Zenodo concept DOI for the dataset. License / AUA: Use of this dataset is subject to the Acceptable Use Agreement (AUA) and license terms in the GitHub repository: LICENSE. Going forward: We will continue updating this GitHub repository every 6 months; please refer to the repository for the latest snapshots.

  PublisherDOI

• Strategic Interdependence: Using Internet Outage Data to Study How Combatants Manage Collective Institutions During War

  British Journal of Political Science · 2026-01-01

  articleOpen accessSenior author

  Abstract This article challenges the view that war and interdependence are inherently incompatible by examining how combatants manage collective institutions during conflict. Using the internet as a case of such an institution, we show that belligerents selectively preserve or disrupt mutual access based on battlefield conditions. Disruption is more likely during mobile offensives, which offer greater operational freedom, while static or constrained operations incentivize maintaining interdependence for co-ordination, intelligence, or deception. Drawing on geolocated data from internet outages in the Russia–Ukraine war (2022–3) and qualitative evidence from this conflict and the Armenia–Azerbaijan conflicts (2020, 2023), we find that the disruption likelihood declines as battlefield constraints increase. These findings reveal how interdependence can serve as a tactical asset rather than merely a casualty of war. This has important implications for understanding the relationship between institutions and conflict, as wartime strategies shape not only battlefield outcomes but also prospects for post-war peace building.

  PublisherOA PDFDOI

• Repairing Trust in Domain Name Disputes Practices: Insights from a Quarter-Century's Worth of Squabbles

  2026-01-01

  articleOpen access

  The Uniform Domain Name Dispute Resolution Policy (UDRP) seeks to balance two competing goals: empowering trademark holders to swiftly address cybersquatting cases targeting their brands and protecting domain registrants from aggressive legal tactics by overreaching trademark holders.Since its inception, the UDRP has become the de facto dispute resolution mechanism for over two thousand domain extensions, a substantial increase from the original three.However, despite its successes, critics argue that the policy enables practices that undermine trust and fairness.Unfortunately, meaningful reform efforts have stalled due to the absence of large-scale structured data, limiting empirical evaluations and leaving foundational questions unanswered for more than two decades.To address this long-standing gap, we trained models to extract structured data from 90,153 UDRP dispute proceedings, enabling the most comprehensive empirical analysis of the policy to date.Our findings shed light on several issues, showing evidence of forum shopping in almost one-third of all the disputes, potential conflicts of interest in 43 cases, and delays (by many parties) that fall well outside the expected response times-all of which impact the perceived fairness and efficiency of UDRP.Beyond eroding trust, those issues create serious security challenges: 2,751 malicious domains remained under malicious actors' control for up to four months after a panel ordered their transfer.Overall, our findings underscore the need for policy reform to help restore trust and improve transparency in the Internet's de facto standard for countering trademark infringement.Based on our discoveries, we recommend introducing greater automation, strengthening oversight, and enforcing clearer compliance rules to ensure that the UDRP remains a reliable tool for trademarkbased name disputes-especially as the Internet continues to expand with new generic top-level domains and the digital environment becomes increasingly hostile to users.

  PublisherDOI

• InetIntel/Dataset-AS-to-Organization-Mapping: IIL-AS2Org — first Zenodo release

  Zenodo (CERN European Organization for Nuclear Research) · 2026-01-22

  otherOpen accessSenior author

  What this is: First Zenodo-archived release of the IIL-AS2Org dataset repository (includes the full history of snapshots currently in the repo). Coverage: Historical monthly snapshots are available in this repository under monthly snapshot directories (e.g., <YYYY-MM>/...) and will continue to be maintained. Stable citation: Please cite the Zenodo concept DOI for the dataset: 10.5281/zenodo.18340700. License / AUA: Use of this dataset is subject to the Acceptable Use Agreement (AUA) and license terms in the GitHub repository: LICENSE. Going forward: We will continue updating this GitHub repository on a monthly basis; please refer to the repository for the latest snapshots. We will create new GitHub Releases mainly for major updates (e.g., schema changes or substantial methodology updates).

  PublisherDOI

• InetIntel/Dataset-AS2Web: AS2Web — first Zenodo release

  Zenodo (CERN European Organization for Nuclear Research) · 2026-04-18

  otherOpen accessSenior author

  What this is: First Zenodo-archived release of the AS2Web dataset repository (includes the full history of snapshots currently in the repo). Coverage: Historical monthly snapshots are already available under data/YYYY-MM/... (and will continue to be maintained). Stable citation: Please cite the Zenodo concept DOI for the dataset. License / AUA: Use of this dataset is subject to the Acceptable Use Agreement (AUA) and license terms in the GitHub repository: LICENSE. Going forward: We will continue updating this GitHub repository every 6 months; please refer to the repository for the latest snapshots.

  PublisherDOI

• InetIntel/Dataset-AS-to-Organization-Mapping: IIL-AS2Org — first Zenodo release

  Zenodo (CERN European Organization for Nuclear Research) · 2026-01-22

  otherOpen accessSenior author

  What this is: First Zenodo-archived release of the IIL-AS2Org dataset repository (includes the full history of snapshots currently in the repo). Coverage: Historical monthly snapshots are available in this repository under monthly snapshot directories (e.g., <YYYY-MM>/...) and will continue to be maintained. Stable citation: Please cite the Zenodo concept DOI for the dataset: 10.5281/zenodo.18340700. License / AUA: Use of this dataset is subject to the Acceptable Use Agreement (AUA) and license terms in the GitHub repository: LICENSE. Going forward: We will continue updating this GitHub repository on a monthly basis; please refer to the repository for the latest snapshots. We will create new GitHub Releases mainly for major updates (e.g., schema changes or substantial methodology updates).

  PublisherDOI

• Are Leo Networks the Future of National Emergency Failover? – a Quantitative Study and Policy Blueprint

  SSRN Electronic Journal · 2025-01-01 · 1 citations

  articleOpen access
  PublisherDOI

Recent grants

• TWC: TTP Option: Small: Collaborative: Detecting and Characterizing Internet Traffic Interception Based on BGP Hijacking

  NSF · $587k · 2014–2019

• EAGER:Experimental Deployment of the ARTEMIS BGP Hijacking Detection Prototype in Research and Educational Networks

  NSF · $185k · 2018–2019

• TTP: Medium: Detection and Analysis of Large-Scale Internet Infrastructure Outages

  NSF · $1.5M · 2012–2016

• SaTC: CORE: Large: Collaborative: Investigating the Susceptibility of the Internet Topology to Country-level Connectivity Disruption and Manipulation

  NSF · $1.1M · 2017–2021

• CI-SUSTAIN: Sustainable Tools for Analysis and Research on Darknet Unsolicited Traffic (STARDUST).

  NSF · $780k · 2017–2021

Frequent coauthors

• Antonio Pescapè

  38 shared

• kc claffy

  UC San Diego Health System

  27 shared

• Alistair King

  24 shared

• Xenofontas Dimitropoulos

  University of Crete

  16 shared

• Giorgio Ventre

  University of Naples Federico II

  13 shared

• Karyn Benson

  13 shared

• Mattijs Jonker

  University of Twente

  11 shared

• Walter de Donato

  10 shared