A New Partial Key Exposure Attack on Multi-power RSA

An important attack on multi-power RSA ($N=p^rq$) was introduced by Sarkar in 2014, by extending the small private exponent attack of Boneh and Durfee on classical RSA. In particular, he showed that $N$ can be factored efficiently for $r=2$ with private exponent $d$ satisfying $d<N^{0.395}$. In this paper, we generalize this work by introducing a new partial key exposure attack for finding small roots of polynomials using Coppersmith\u27s algorithm and Gröbner basis computation. Our attack works for all multi-power RSA exponents $e$ (resp. $d$) when the exponent $d$ (resp. $e$) has full size bit length. The attack requires prior knowledge of least significant bits (LSBs), and has the property that the required known part of LSB becomes smaller in the size of $e$. For practical validation of our attack, we demonstrate several computer algebra experiments

Partial key exposure attacks on multi-power RSA

Tezin basılısı İstanbul Şehir Üniversitesi Kütüphanesi'ndedir.In this thesis, our main focus is a type of cryptanalysis of a variant of RSA, namely multi-power RSA. In multi-power RSA, the modulus is chosen as N = prq, where r ≥ 2. Building on Coppersmith’s method of finding small roots of polynomials, Boneh and Durfee show a very crucial result (a small private exponent attack) for standard RSA. According to this study, N = pq can be factored in polynomial time in log N when d < N 0.292 . In 2014, Sarkar improve the existing small private exponent attacks on multi-power RSA for r ≤ 5. He shows that one can factor N in polynomial time in log N if d < N 0.395 for r = 2 . Extending the ideas in Sarkar’s work, we develop a new partial key exposure attack on multi-power RSA. Prior knowledge of least significant bits (LSBs) of the private exponent d is required to realize this attack. Our result is a generalization of Sarkar’s result, and his result can be seen as a corollary of our result. Our attack has the following properties: the required known part of LSBs becomes smaller in the size of the public exponent e and it works for all exponents e (resp. d) when the exponent d (resp. e) has full-size bit length. For practical validation of our attack, we demonstrate several computer algebra experiments. In the experiments, we use the LLL algorithm and Gröbner basis computation. We achieve to obtain better experimental results than our theoretical result indicates for some cases.Declaration of Authorship ii Abstract iii Öz iv Acknowledgments v List of Figures viii List of Tables ix Abbreviations x 1 Introduction 1 1.1 A Short History of the Partial Key Exposure Attacks . . . . . . . . . . . . 4 1.2 Overview of the Thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2 The RSA Cryptosystem 8 2.1 RSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.2 RSA Key Generation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.3 Multi-power RSA (Takagi’s Variant) . . . . . . . . . . . . . . . . . . . . . 10 2.4 Cryptanalysis of RSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.4.1 Factoring N . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.4.2 Implementation Attacks . . . . . . . . . . . . . . . . . . . . . . . . 12 2.4.2.1 Side-Channel Analysis . . . . . . . . . . . . . . . . . . . . 12 2.4.2.2 Bleichenbacher’s Attack . . . . . . . . . . . . . . . . . . . 13 2.4.3 Message Recovery Attacks . . . . . . . . . . . . . . . . . . . . . . . 14 2.4.3.1 Håstad’s Attack . . . . . . . . . . . . . . . . . . . . . . . 14 2.4.3.2 Franklin-Reiter Attack . . . . . . . . . . . . . . . . . . . . 15 2.4.3.3 Coppersmith’s Short Pad Attack . . . . . . . . . . . . . . 15 2.4.4 Attacks Using Extra Knowledge on RSA Parameters . . . . . . . . 15 2.4.4.1 Wiener’s Attack . . . . . . . . . . . . . . . . . . . . . . . 16 2.4.4.2 Boneh-Durfee Attack . . . . . . . . . . . . . . . . . . . . 17 3 Preliminaries 18 3.1 Lattice Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 3.2 Finding Small Roots of Polynomials . . . . . . . . . . . . . . . . . . . . . 20 3.2.1 Finding Small Modular Roots . . . . . . . . . . . . . . . . . . . . . 21 3.2.2 Complexity of the Attacks . . . . . . . . . . . . . . . . . . . . . . . 25 3.2.2.1 Polynomial Reduction . . . . . . . . . . . . . . . . . . . . 25 3.2.2.2 Root Extraction . . . . . . . . . . . . . . . . . . . . . . . 25 3.2.3 Boneh-Durfee Attack . . . . . . . . . . . . . . . . . . . . . . . . . . 26 4 Partial Key Exposure Attacks on Multi-Power RSA 28 4.1 Known Attacks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 4.1.1 Attacks when ed ≡ 1 mod ( p−1)( q−1) . . . . . . . . . . . . . . . 29 4.1.2 Attacks when ed ≡ 1 mod ( pr −pr−1)( q−1) . . . . . . . . . . . . . 29 4.2 A New Attack with Known LSBs . . . . . . . . . . . . . . . . . . . . . . . 31 4.3 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 5 Conclusion and Discussions 39 Bibliograph

Revisiting the security model for aggregate signature schemes

Aggregate signature schemes combine the digital signatures of multiple users on different messages into one single signature. The Boneh-Gentry-Lynn-Shacham (BGLS) aggregate signature scheme is one such scheme, based on pairings, where anyone can aggregate the signatures in any order. We suggest improvements to its current chosen-key security model. In particular, we argue that the scheme should be resistant to attackers that can adaptively choose their target users, and either replace other users' public keys or expose other users' private keys. We compare these new types of forgers to the original targeted-user forger, building up to the stronger replacement-and-exposure forger. Finally, we present a security reduction for a variant of the BGLS aggregate signature scheme with respect to this new notion of forgery. Recent attacks by Joux and others on the discrete logarithm problem in small-characteristic finite fields dramatically reduced the security of many type I pairings. Therefore, we explore security reductions for BGLS with type III rather than type I pairings. Although our reductions are specific to BGLS, we believe that other aggregate signature schemes could benefit from similar changes to their security models

Public key exponent attacks on multi-prime power modulus using continued fraction expansion method

This paper proposes three public key exponent attacks of breaking the security of the prime power modulus =22 where and are distinct prime numbers of the same bit size. The first approach shows that the RSA prime power modulus =22 for q&lt;&lt;2q using key equation −()=1 where ()= 22(−1)(−1) can be broken by recovering the secret keys&nbsp; / from the convergents of the continued fraction expansion of e/−23/4 +1/2 . The paper also reports the second and third approaches of factoring multi-prime power moduli =2 2 simultaneously through exploiting generalized system of equations −()=1 and −()=1 respectively. This can be achieved in polynomial time through utilizing Lenstra Lenstra Lovasz (LLL) algorithm and simultaneous Diophantine approximations method for =1,2,…,

OnionBots: Subverting Privacy Infrastructure for Cyber Attacks

Over the last decade botnets survived by adopting a sequence of increasingly sophisticated strategies to evade detection and take overs, and to monetize their infrastructure. At the same time, the success of privacy infrastructures such as Tor opened the door to illegal activities, including botnets, ransomware, and a marketplace for drugs and contraband. We contend that the next waves of botnets will extensively subvert privacy infrastructure and cryptographic mechanisms. In this work we propose to preemptively investigate the design and mitigation of such botnets. We first, introduce OnionBots, what we believe will be the next generation of resilient, stealthy botnets. OnionBots use privacy infrastructures for cyber attacks by completely decoupling their operation from the infected host IP address and by carrying traffic that does not leak information about its source, destination, and nature. Such bots live symbiotically within the privacy infrastructures to evade detection, measurement, scale estimation, observation, and in general all IP-based current mitigation techniques. Furthermore, we show that with an adequate self-healing network maintenance scheme, that is simple to implement, OnionBots achieve a low diameter and a low degree and are robust to partitioning under node deletions. We developed a mitigation technique, called SOAP, that neutralizes the nodes of the basic OnionBots. We also outline and discuss a set of techniques that can enable subsequent waves of Super OnionBots. In light of the potential of such botnets, we believe that the research community should proactively develop detection and mitigation methods to thwart OnionBots, potentially making adjustments to privacy infrastructure.Comment: 12 pages, 8 figure

DR.SGX: Hardening SGX Enclaves against Cache Attacks with Data Location Randomization

Recent research has demonstrated that Intel's SGX is vulnerable to various software-based side-channel attacks. In particular, attacks that monitor CPU caches shared between the victim enclave and untrusted software enable accurate leakage of secret enclave data. Known defenses assume developer assistance, require hardware changes, impose high overhead, or prevent only some of the known attacks. In this paper we propose data location randomization as a novel defensive approach to address the threat of side-channel attacks. Our main goal is to break the link between the cache observations by the privileged adversary and the actual data accesses by the victim. We design and implement a compiler-based tool called DR.SGX that instruments enclave code such that data locations are permuted at the granularity of cache lines. We realize the permutation with the CPU's cryptographic hardware-acceleration units providing secure randomization. To prevent correlation of repeated memory accesses we continuously re-randomize all enclave data during execution. Our solution effectively protects many (but not all) enclaves from cache attacks and provides a complementary enclave hardening technique that is especially useful against unpredictable information leakage