What is he best known for?
The fields of study he is best known for:
- Operating system
- Topology
- Cryptography
Computer security, Cache, Embedded system, Smart card and Side channel attack are his primary areas of study.
His Computer security research is multidisciplinary, incorporating elements of Electronic circuit, Cloud computing and AND-OR-Invert.
His study in Cache is interdisciplinary in nature, drawing from both Dram, Software security assurance and Central processing unit.
His work deals with themes such as Logic gate, CMOS, Encryption and AES implementations, which intersect with Embedded system.
Stefan Mangard has included themes like Cryptanalysis, Cryptography and Power analysis in his Smart card study.
His research integrates issues of Cycles per instruction, Electronic engineering, Three-input universal logic gate and Leakage in his study of Side channel attack.
His most cited work include:
- Power Analysis Attacks: Revealing the Secrets of Smart Cards (1021 citations)
- Spectre Attacks: Exploiting Speculative Execution (593 citations)
- Power Analysis Attacks: Revealing the Secrets of Smart Cards (Advances in Information Security) (536 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Embedded system, Computer security, Side channel attack, Cryptography and Power analysis.
His Embedded system research focuses on Encryption and how it connects with Authentication.
His Computer security research integrates issues from Software security assurance, Cloud computing and Cache.
His Cache research is multidisciplinary, relying on both Central processing unit, Process and Instruction set.
Stefan Mangard has researched Side channel attack in several fields, including Android, Computer network, Mobile device and Leakage.
His research in Power analysis focuses on subjects like Smart card, which are connected to Cryptanalysis.
He most often published in these fields:
- Embedded system (31.58%)
- Computer security (29.47%)
- Side channel attack (28.95%)
What were the highlights of his more recent work (between 2016-2021)?
- Embedded system (31.58%)
- Computer security (29.47%)
- Side channel attack (28.95%)
In recent papers he was focusing on the following fields of study:
Stefan Mangard mainly investigates Embedded system, Computer security, Side channel attack, Encryption and Software.
His Embedded system study integrates concerns from other disciplines, such as Exploit, Control flow, Compiler and Pointer.
His Computer security research includes elements of Software security assurance, Cloud computing and Cache.
His biological study spans a wide range of topics, including Implementation, Android, Keystroke logging and Power analysis.
His Software research incorporates themes from Wireless, Masking, Hardware security module, Randomness and Computation.
His work focuses on many connections between Smart card and other disciplines, such as Information sensitivity, that overlap with his field of interest in Mobile device.
Between 2016 and 2021, his most popular works were:
- Spectre Attacks: Exploiting Speculative Execution (593 citations)
- Meltdown: reading kernel memory from user space (382 citations)
- Malware Guard Extension: Using SGX to Conceal Cache Attacks (176 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Topology
- Programming language
His primary areas of investigation include Computer security, Cache, Side channel attack, Exploit and Cloud computing.
Stefan Mangard combines subjects such as User space and Implementation with his study of Computer security.
Stefan Mangard interconnects Software, Process, Instruction set and Branch predictor in the investigation of issues within Cache.
The Side channel attack study combines topics in areas such as Speculative execution, Software security assurance, Central processing unit and Power analysis.
The concepts of his Exploit study are interwoven with issues in Timing attack, Control flow, Embedded system and Keystroke logging.
When carried out as part of a general Embedded system research project, his work on Hardware implementations is frequently linked to work in Masking, therefore connecting diverse disciplines of study.
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