What is she best known for?
The fields of study she is best known for:
- Operating system
- Cryptography
- Algorithm
Lejla Batina focuses on Elliptic curve cryptography, Cryptography, Power analysis, Public-key cryptography and Authentication.
Lejla Batina usually deals with Elliptic curve cryptography and limits it to topics linked to Modular arithmetic and Computer hardware, Parallel computing and Reconfigurable computing.
The Cryptography study combines topics in areas such as Extension and Hardware implementations.
Lejla Batina combines subjects such as Adversary, Mutual information, Data mining and Key with her study of Power analysis.
Her Public-key cryptography study combines topics in areas such as Cryptosystem and Authentication protocol.
Her study in Authentication is interdisciplinary in nature, drawing from both Cryptographic protocol and Access control.
Her most cited work include:
- Mutual Information Analysis (411 citations)
- RFID-Tags for anti-counterfeiting (273 citations)
- Elliptic-Curve-Based Security Processor for RFID (216 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Cryptography, Side channel attack, Elliptic curve cryptography, Embedded system and Public-key cryptography.
Her Cryptography study improves the overall literature in Computer security.
Her research in Side channel attack intersects with topics in Data mining, Computer engineering, Power analysis and Key, Advanced Encryption Standard.
Her Elliptic curve cryptography research includes elements of Field-programmable gate array, Modular arithmetic, Hardware architecture and Arithmetic.
Lejla Batina interconnects Software and Elliptic curve cryptosystem in the investigation of issues within Embedded system.
Her Public-key cryptography study integrates concerns from other disciplines, such as Cryptographic protocol, Multiplication and Distributed computing.
She most often published in these fields:
- Cryptography (36.32%)
- Side channel attack (22.65%)
- Elliptic curve cryptography (22.65%)
What were the highlights of her more recent work (between 2018-2021)?
- Side channel attack (22.65%)
- Cryptography (36.32%)
- Embedded system (19.66%)
In recent papers she was focusing on the following fields of study:
Lejla Batina mostly deals with Side channel attack, Cryptography, Embedded system, Computer engineering and Leakage.
Her Side channel attack research is multidisciplinary, incorporating perspectives in Heuristics, Industrial engineering, Artificial intelligence and Implementation.
Her Cryptography research is under the purview of Computer security.
Lejla Batina has included themes like Scalability, Hardware software, Code and Power analysis in her Embedded system study.
Her research integrates issues of Brute-force search, Wearable computer, Reverse engineering, Fault injection and Rendering in her study of Computer engineering.
Her study looks at the relationship between Deep learning and topics such as Cryptosystem, which overlap with Cryptanalysis, Attack model and Public-key cryptography.
Between 2018 and 2021, her most popular works were:
- {CSI} {NN}: Reverse Engineering of Neural Network Architectures Through Electromagnetic Side Channel (49 citations)
- Online Template Attacks (15 citations)
- One Trace Is All It Takes: Machine Learning-Based Side-Channel Attack on EdDSA (9 citations)
In her most recent research, the most cited papers focused on:
- Operating system
- Cryptography
- Algorithm
Side channel attack, Cryptography, Computer engineering, Artificial intelligence and Convolutional neural network are her primary areas of study.
Her Side channel attack research incorporates themes from Artificial neural network, Multilayer perceptron and Leverage.
Cryptography is a subfield of Algorithm that she tackles.
Her Computer engineering research includes themes of Fault injection, Software portability, Rendering and Brute-force search.
Her Artificial intelligence study incorporates themes from Machine learning and Advanced Encryption Standard.
Her work deals with themes such as Cryptosystem, Curve25519, Block cipher and Power analysis, which intersect with Deep learning.
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