به نام خدا
Title: Slender-Set Differential Cryptanalysis
Authors: Julia Borghoff, Lars R Knudsen, Gregor Leander, and Sren S Thomsen
Abstract: This paper considers PRESENT-like ciphers with key-dependent S-boxes. We focus on the setting where the same selection of S-boxes is used in every round. One particular variant with 16 rounds, proposed in 2009, is broken in practice in a chosen plaintext/chosen cipher text scenario. Extrapolating these results suggests that up to 28 rounds of such ciphers can be broken. Furthermore, we outline how our attack strategy can be applied to an extreme case where the S-boxes are chosen uniformly at random for each round, and where the bit permutation is key-dependent as well.
Publish Year: 2013
Published in: Journal of Cryptography - Journal of Springer
Number of Pages: 28
موضوع: رمزنگاری (Cryptography)
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Reconstructing a Fragmented Face from a Cryptographic Identification Protocol
Authors: Andy Luong, Michael Gerbush, Brent Waters, Kristen Grauman
Abstract: Secure Computation of Face Identification (SCiFI) [20]is a recently developed secure face recognition system that ensures the list of faces it can identify (e.g., a terrorist watch list) remains private. In this work, we study the consequences of malformed input attacks on the system-from both a security and computer vision standpoint. In particular, we present 1) a cryptographic attack that allows dishonest user to undetectably obtain a coded representation of faces on the list, and 2) a visualization approach that exploits this breach, turning the lossy recovered codes into human-identifiable face sketches. We evaluate our approach on two challenging datasets, with face identification tasks given to a computer and human subjects. Whereas prior work considered security in the setting of honest in-puts and protocol execution, the success of our approach underscores the risk posed by malicious adversaries to to-days automatic face recognition systems.
Publish Year: 2013
Published in: WACV - IEEE
Number of Pages: 8
موضوع: پردازش تصویر، رمزنگاری
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Online Advertising and its Security and Privacy Concerns
Authors: Angelia, Davar Pishva
Abstract: Commercial advertising has greatly benefitted from Internet services and online advertising can even be considered as the foundation of web economy. However, despite the availability of many books on how to create, use and make profit from online advertisement; there is little in-depth study on its true nature, security and privacy concerns. Through this research, the authors were able to establish an in-depth understanding of online advertising by collecting and analyzing numerous data on online advertising, with the hope that it could serve as a basis for further study on the field. The authors have also examined the security and privacy concerns of online advertising and the various gimmicks used to victimize innocent people. On the positive side, the paper explains the attractiveness of free online advertising services and the mechanism though which website owners profit from hosting online advertisements despite the fact that neither advertisers nor users pay for the services. On the negative side, the paper shows how online advertising hosts could be victimized by some shroud users for their money making purposes by continuous clicking of online advertisements without any intention of purchase. It also cites cases in which some website owners have marketed users_ private information behind the scene. The paper concludes by highlighting pros and cons of online advertising, Le., despite its numerous advantages, such as efficiency and range, it presents many dangers to advertisers, providers, website owners, and users.
Publish Year: 2013
Published in: ICACT - IEEE
Number of Pages: 6
موضوع: امنیت اطلاعات (Information Security)
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Domain Adaptive Object Detection
Authors: Fatemeh Mirrashed, Vlad I Morariu, Behjat Siddiquie, Rogerio S Feris, Larry S Davis
Abstract: We study the use of domain adaptation and transfer learning techniques as part of a framework for adaptive object detection. Unlike recent applications of domain adaptation work in computer vision, which generally focus on image classification, we explore the problem of extreme class imbalance present when performing domain adaptation for object detection. The main difficulty caused by this imbalance is that test images contain millions or billions of negative image sub windows but just a few image sub windows containing positive instances, which makes it difficult to adapt to changes in the positive classes present new do-mains by simple techniques such as random sampling. We propose an initial approach to addressing this problem and apply our technique to vehicle detection in a challenging urban surveillance dataset, demonstrating the performance of our approach with various amounts of supervision, including the fully unsupervised case.
Publish Year: 2013
Published in: WACV – IEEE
موضوع: بینایی ماشین (Computer Vision) – تشخیص اشیا (Object Detection)
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Internet Science: a Manifesto
Author: Kave Salamatian
Abstract: The purpose of this paper is to describe a new emerging science: Internet science. This paper argues that cur-rent Internet is a direct by-product of Shannon’s Information theory and its master thesis. After that I attempt a general and generic definition of a network and discuss the different alternatives. This discussion results in defining a network as asset of distributed actors cooperating for exchanging information. Based on this definition, I describe how cooperation in networks happens at two conceptual levels: on the structure and the growth of the network and on the information exchange (or forwarding). After describing a potential approach to understand the growth of a network as resulting from an iterative prisoner’s dilemma game, I explained how forwarding cooperation can be divided into three classes: full cooperation, selfishness and non-rational cases. This discussion opens a discussion on the need to develop a new economical theory for understanding networks and information exchange.
Publish Year: 2013
Published in: COMSNETS – IEEE
موضوع: اینترنت (Internet)
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
