Meet the Sherlock Holmes’ of Side Channel Leakage: A Survey of Cache SCA Detection Techniques - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Access Année : 2020

Meet the Sherlock Holmes’ of Side Channel Leakage: A Survey of Cache SCA Detection Techniques

Maria Mushtaq
Vianney Lapotre
Guy Gogniat

Résumé

Cache Side Channel Attacks (SCAs) have gained a lot of attention in the recent past. Since, these attacks exploit the caching hardware vulnerabilities, they are fast and dangerous. Detection of cache side channel attacks is an important step towards mitigating against such hostile entities. Researchers have already proposed different techniques to detect cache side channel attacks. This paper provides a detailed survey of literature related to the state-of-the-art detection techniques for cache based side channel attacks. We identify a set of important characteristics that can be used to characterize a CSCA (cache side channel attack) detection technique. We use the identified features to compare and contrast the most important detection techniques and provide the important observations. We also identify some of the challenges that the research community will have to resolve in future to improve the efficiency of cache side channel detection techniques. To the best of our knowledge, this is the first work to do such a study. We believe that this paper will prove useful to researchers in the area of systems security.
Fichier principal
Vignette du fichier
Meet_the_Sherlock_Holmes_of_Side_Channel_Leakage_A_Survey_of_Cache_SCA_Detection_Techniques.pdf (2.53 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-02508889 , version 1 (25-11-2021)

Licence

Paternité

Identifiants

Citer

Ayaz Akram, Maria Mushtaq, Muhammad Khurram Bhatti, Vianney Lapotre, Guy Gogniat. Meet the Sherlock Holmes’ of Side Channel Leakage: A Survey of Cache SCA Detection Techniques. IEEE Access, 2020, 8, pp.70836-70860. ⟨10.1109/ACCESS.2020.2980522⟩. ⟨hal-02508889⟩
241 Consultations
134 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More