M. Sc. Joel Frank

System security

Research assistant

Address:
Ruhr-University Bochum
Faculty of Computer Science
System security
Universitätsstr. 150
D-44801 Bochum

Room: ID 2/449

Telephone: (+49)(0)234 / 32 - 29916

Office Hours: By arrangement

E-Mail: joel.​frank@​rub.​de

Curriculum Vitae

Since 2018: Ph.D. Stu­dent, IT-Se­cu­ri­ty Chair for Sys­tems Se­cu­ri­ty, Ruhr-Uni­ver­si­ty Bo­chum, Ger­ma­ny 2015-2018: Mas­ter of Sci­ence (M.​Sc.), IT-Se­cu­ri­ty Ruhr-Uni­ver­si­ty Bo­chum, Ger­ma­ny 2017-2018: Gra­dua­te Re­se­arch As­sis­tant (Re­mo­te) Chair of Ap­p­lied Cryp­to­gra­phy, Tech­ni­sche Uni­ver­si­tät Darm­stadt, Ger­ma­ny 2015-2017: Gra­dua­te Re­se­arch As­sis­tant Chair for Sys­tem Se­cu­ri­ty, Ruhr-Uni­ver­si­ty Bo­chum, Ger­ma­ny 2011-2015: Ba­che­lor of Sci­ence (B.​Sc.), IT-Se­cu­ri­ty Ruhr-Uni­ver­si­ty Bo­chum, Ger­ma­ny


Research

Du­ring my Mas­ter’s de­gree, I in­ves­ti­ga­ted the se­cu­ri­ty of block­chain-ba­sed sys­tems and de­ve­lo­ped au­to­ma­ted tools for de­tec­ting bugs in Ethe­re­um smart contracts. Now, my pri­ma­ry re­se­arch in­te­rest lies in the in­ter­sec­tion of ma­chi­ne le­arning and cy­ber­se­cu­ri­ty, stu­dy­ing vul­nerabi­li­ties of ma­chi­ne le­arning sys­tems, as well as how to apply ma­chi­ne le­arning tech­ni­ques to solve se­cu­ri­ty pro­blems.


Publications