Demo Data from VLDB 2026 / reviewers in the wild / expert
Aaro Lehikoinen
dblp:200/8536
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Systems and software security · 77% Cyber-physical and IoT security · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security
memory safety |
0.4 | 1 | 2019 | HardScope: Hardening Embedded Systems Against Data-Oriented Attacks · DAC 2019 |
Cyber-physical and IoT security
embedded system security |
0.1 | 1 | 2019 | HardScope: Hardening Embedded Systems Against Data-Oriented Attacks · DAC 2019 |
Methods — techniques the papers use, named apart from their topics
randomization · 0.4control-flow integrity · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | HardScope: Hardening Embedded Systems Against Data-Oriented AttacksabstractMemory-unsafe programming languages like C and C++ leave many (embedded) systems vulnerable to attacks like control-flow hijacking. However, defenses against control-flow attacks, such as (fine-grained) randomization or control-flow integrity are in-effective against data-oriented attacks and more expressive Data-oriented Programming (DOP) attacks that bypass state-of-the-art defenses. Thomas Nyman, Ghada Dessouky, Shaza Zeitouni, Aaro Lehikoinen, Andrew Paverd, N. Asokan, Ahmad-Reza Sadeghi |
DAC | 4 |