DLPFA: Deep Learning based Persistent Fault Analysis against Block Ciphers

Deep learning techniques have been widely applied to side-channel analysis (SCA) in recent years and shown better performance compared with traditional methods. However, there has been little research dealing with deep learning techniques in fault analysis to date. This article undertakes the first study to introduce deep learning techniques into fault analysis to perform key recovery. We investigate the application of multi-layer perceptron (MLP) and convolutional neural network (CNN) in persistent fault analysis (PFA) and propose deep learning-based persistent fault analysis (DLPFA). DLPFA is first applied to advanced encryption standard (AES) to verify its availability. Then, to push the study further, we extend DLPFA to PRESENT, which is a lightweight substitution–permutation network (SPN)-based block cipher. The experimental results show that DLPFA can handle random faults and provide outstanding performance with a suitable selection of hyper-parameters

Compact-LWE: Enabling Practically Lightweight Public Key Encryption for Leveled IoT Device Authentication

Leveled authentication allows resource-constrained IoT devices to be authenticated at different strength levels according to the particular types of communication. To achieve efficient leveled authentication, we propose a lightweight public key encryption scheme that can produce very short ciphertexts without sacrificing its security. The security of our scheme is based on the Learning With Secretly Scaled Errors in Dense Lattice (referred to as Compact-LWE) problem. We prove the hardness of Compact-LWE by reducing Learning With Errors (LWE) to Compact-LWE. However, unlike LWE, even if the closest vector problem (CVP) in lattices can be solved, Compact-LWE is still hard, due to the high density of lattices constructed from Compact-LWE samples and the relatively longer error vectors. By using a lattice-based attack tool, we verify that the attacks, which are successful on LWE instantly, cannot succeed on Compact-LWE, even for a small dimension parameter like $n=13$, hence allowing small dimensions for short ciphertexts. On the Contiki operating system for IoT, we have implemented our scheme, with which a leveled Needham-Schroeder-Lowe public key authentication protocol is implemented. On a small IoT device with 8MHZ MSP430 16-bit processor and 10KB RAM, our experiment shows that our scheme can complete 50 encryptions and 500 decryptions per second at a security level above 128 bits, with a public key of 2368 bits, generating 176-bit ciphertexts for 16-bit messages. With two small IoT devices communicating over IEEE 802.15.4 and 6LoWPAN, the total time of completing an authentication varies from 640ms (the 1st authentication level) to 8373ms (the 16th authentication level), in which the execution of our encryption scheme takes only a very small faction from 46ms to 445ms

Performance and Security Improvements for Tor: A Survey

Tor [Dingledine et al. 2004] is the most widely used anonymity network today, serving millions of users on a daily basis using a growing number of volunteer-run routers. Since its deployment in 2003, there have been more than three dozen proposals that aim to improve its performance, security, and unobservability. Given the significance of this research area, our goal is to provide the reader with the state of current research directions and challenges in anonymous communication systems, focusing on the Tor network.We shed light on the design weaknesses and challenges facing the network and point out unresolved issues

Automotive firmware extraction and analysis techniques

An intricate network of embedded devices, called Electronic Control Units (ECUs), is responsible for the functionality of a modern vehicle. Every module processes a myriad of information and forwards it on to other nodes on the network, typically an automotive bus such as the Controller Area Network (CAN). Analysing embedded device software, and automotive in particular, brings many challenges. The analyst must, especially in the notoriously secretive automotive industry, first lift the ECU firmware from the hardware, which typically prevents unauthorised access. In this thesis, we address this problem in two ways: - We detail and bypass the access control mechanism used in diagnostic protocols in ECU firmware. Using existing diagnostic functionality, we present a generic technique to download code to RAM and execute it, without requiring physical access to the ECU. We propose a generic firmware readout framework on top of this, which only requires access to the CAN bus. - We analyse various embedded bootloaders and combine dynamic analysis with low-level hardware fault attacks, resulting in several fault-injection attacks which bypass on-chip readout protection. We then apply these firmware extraction techniques to acquire immobiliser firmware by two different manufacturers, from which we reverse engineer the DST80 cipher and present it in full detail here. Furthermore, we point out flaws in the key generation procedure, also recovered from the ECU firmware, leading to a full key recovery based on publicly readable transponder pages

Decentralized Anonymous Payments

Decentralized payment systems such as Bitcoin record monetary transactions between pseudonyms in an append-only ledger known as a blockchain. Because the ledger is public, permanent, and readable by anyone, a user’s privacy depends solely on the difficulty of linking pseudonymous transactions either to each other or to real identities. Both academic work and commercial services have shown that such linking is, in fact, very easy. Anyone at any point in the future can download a user’s transaction history and analyze it. In this work, we propose and implement privacy preserving coins, payments, and payment channels that can be built atop a ledger. In particular we propose: * Zerocoin A blockchain based protocol for breaking the link between a transaction that receives non-anonymous funds and the subsequent transaction that spends it. * Zerocash The successor to Zerocoin, a blockchain based payment system supporting anonymous payments of arbitrary hidden value to other parties. While payments are recorded publicly in the blockchain, they reveal almost nothing else: the recipient learns only the amount paid but not the source and anyone else learns only that a payment of some value to someone took place. *Bolt A payment channel protocol that allows two parties to anonymously and securely make many unlinkable payments while only posting two messages to the blockchain. This protocol provides for instant payments while providing drastically improved scalability as every transaction is no longer recorded in the blockchain

ANALYSIS OF CRYPTOGRAPHIC ALGORITHMS AGAINST THEORETICAL AND IMPLEMENTATION ATTACKS

This thesis deals with theoretical and implementation analysis of cryptographic functions. Theoretical attacks exploit weaknesses in the mathematical structure of the cryptographic primitive, while implementation attacks leverage on information obtained by its physical implementation, such as leakage through physically observable parameters (side-channel analysis) or susceptibility to errors (fault analysis). In the area of theoretical cryptanalysis, we analyze the resistance of the Keccak-f permutations to differential cryptanalysis (DC). Keccak-f is used in different cryptographic primitives: Keccak (which defines the NIST standard SHA-3), Ketje and Keyak (which are currently at the third round of the CAESAR competition) and the authenticated encryption function Kravatte. In its basic version, DC makes use of differential trails, i.e. sequences of differences through the rounds of the primitive. The power of trails in attacks can be characterized by their weight. The existence of low-weight trails over all but a few rounds would imply a low resistance with respect to DC. We thus present new techniques to effciently generate all 6-round differential trails in Keccak-f up to a given weight, in order to improve known lower bounds. The limit weight we can reach with these new techniques is very high compared to previous attempts in literature for weakly aligned primitives. This allows us to improve the lower bound on 6 rounds from 74 to 92 for the four largest variants of Keccak-f. This result has been used by the authors of Kravatte to choose the number of rounds in their function. Thanks to their abstraction level, some of our techniques are actually more widely applicable than to Keccak-f. So, we formalize them in a generic way. The presented techniques have been integrated in the KeccakTools and are publicly available. In the area of fault analysis, we present several results on differential fault analysis (DFA) on the block cipher AES. Most DFA attacks exploit faults that modify the intermediate state or round key. Very few examples have been presented, that leverage changes in the sequence of operations by reducing the number of rounds. In this direction, we present four DFA attacks that exploit faults that alter the sequence of operations during the final round. In particular, we show how DFA can be conducted when the main operations that compose the AES round function are corrupted, skipped or repeated during the final round. Another aspect of DFA we analyze is the role of the fault model in attacks. We study it from an information theoretical point of view, showing that the knowledge that the attacker has on the injected fault is fundamental to mount a successful attack. In order to soften the a-priori knowledge on the injection technique needed by the attacker, we present a new approach for DFA based on clustering, called J-DFA. The experimental results show that J-DFA allows to successfully recover the key both in classical DFA scenario and when the model does not perfectly match the faults effect. A peculiar result of this method is that, besides the preferred candidate for the key, it also provides the preferred models for the fault. This is a quite remarkable ability because it furnishes precious information which can be used to analyze, compare and characterize different specific injection techniques on different devices. In the area of side-channel attacks, we improve and extend existing attacks against the RSA algorithm, known as partial key exposure attacks. These attacks on RSA show how it is possible to find the factorization of the modulus from the knowledge of some bits of the private key. We present new partial key exposure attacks when the countermeasure known as exponent blinding is used. We first improve known results for common RSA setting by reducing the number of bits or by simplifying the mathematical analysis. Then we present novel attacks for RSA implemented using the Chinese Remainder Theorem, a scenario that has never been analyzed before in this context