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Deep Learning Application in Security and Privacy – Theory and Practice: A Position Paper
- Source :
- Information Security Theory and Practice ISBN: 9783030200732, WISTP
- Publication Year :
- 2019
- Publisher :
- Springer International Publishing, 2019.
-
Abstract
- Technology is shaping our lives in a multitude of ways. This is fuelled by a technology infrastructure, both legacy and state of the art, composed of a heterogeneous group of hardware, software, services, and organisations. Such infrastructure faces a diverse range of challenges to its operations that include security, privacy, resilience, and quality of services. Among these, cybersecurity and privacy are taking the centre-stage, especially since the General Data Protection Regulation (GDPR) came into effect. Traditional security and privacy techniques are overstretched and adversarial actors have evolved to design exploitation techniques that circumvent protection. With the ever-increasing complexity of technology infrastructure, security and privacy-preservation specialists have started to look for adaptable and flexible protection methods that can evolve (potentially autonomously) as the adversarial actor changes its techniques. For this, Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) were put forward as saviours. In this paper, we look at the promises of AI, ML, and DL stated in academic and industrial literature and evaluate how realistic they are. We also put forward potential challenges a DL based security and privacy protection system has to overcome. Finally, we conclude the paper with a discussion on what steps the DL and the security and privacy-preservation community have to take to ensure that DL is not just going to be hype, but an opportunity to build a secure, reliable, and trusted technology infrastructure on which we can rely on for so much in our lives.
- Subjects :
- business.industry
Computer science
media_common.quotation_subject
Deep learning
Multitude
02 engineering and technology
010501 environmental sciences
Computer security
computer.software_genre
01 natural sciences
Resilience (organizational)
Adversarial system
Software
General Data Protection Regulation
0202 electrical engineering, electronic engineering, information engineering
Position paper
020201 artificial intelligence & image processing
Quality (business)
Artificial intelligence
business
computer
0105 earth and related environmental sciences
media_common
Subjects
Details
- ISBN :
- 978-3-030-20073-2
- ISBNs :
- 9783030200732
- Database :
- OpenAIRE
- Journal :
- Information Security Theory and Practice ISBN: 9783030200732, WISTP
- Accession number :
- edsair.doi...........332ffd9c2019aceb2178c073591ecfb0
- Full Text :
- https://doi.org/10.1007/978-3-030-20074-9_10