On Reconstruction of RC4 Keys from Internal States

In this work key recovery algorithms from the known internal states of RC4 are investigated. In particular, we propose a bit-by-bit approach to recover the key by starting from LSB's of the key bytes and ending with their MSB's

RC4 Encryption-A Literature Survey

AbstractA chronological survey demonstrating the cryptanalysis of RC4 stream cipher is presented in this paper. We have summarized the various weaknesses of RC4 algorithm followed by the recently proposed enhancements available in the literature. It is established that innovative research efforts are required to develop secure RC4 algorithm, which can remove the weaknesses of RC4, such as biased bytes, key collisions, and key recovery attacks on WPA. These flaws in RC4 are still offering an open challenge for developers. Hence our chronological survey corroborates the fact that even though researchers are working on RC4 stream cipher since last two decades, it still offers a plethora of research issues. The attraction of community towards RC4 is still alive

Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis

Malware is dramatically increasing its viability while hiding its malicious intent and/or behavior by employing ciphers. So far, many efforts have been made to detect malware and prevent it from damaging users by monitoring network packets. However, conventional detection schemes analyzing network packets directly are hardly applicable to detect the advanced malware that encrypts the communication. Cryptoanalysis of each packet flowing over a network might be one feasible solution for the problem. However, the approach is computationally expensive and lacks accuracy, which is consequently not a practical solution. To tackle these problems, in this paper, we propose novel schemes that can accurately detect malware packets encrypted by RC4 without decryption in a timely manner. First, we discovered that a fixed encryption key generates unique statistical patterns on RC4 ciphertexts. Then, we detect malware packets of RC4 ciphertexts efficiently and accurately by utilizing the discovered statistical patterns of RC4 ciphertext given encryption key. Our proposed schemes directly analyze network packets without decrypting ciphertexts. Moreover, our analysis can be effectively executed with only a very small subset of the network packet. To the best of our knowledge, the unique signature has never been discussed in any previous research. Our intensive experimental results with both simulation data and actual malware show that our proposed schemes are extremely fast (23.06±1.52 milliseconds) and highly accurate (100%) on detecting a DarkComet malware with only a network packet of 36 bytes

SecureSurgiNET:a framework for ensuring security in telesurgery

The notion of surgical robotics is actively being extended to enable telesurgery, where both the surgeon and patient are remotely located and connected via a public network, which leads to many security risks. Being a safety-critical application, it is highly important to make telesurgery robust and secure against active and passive attacks. In this article, we propose the first complete framework, called SecureSurgiNET, for ensuring security in telesurgery environments. SecureSurgiNET is primarily based on a set of well-established protocols to provide a fool-proof telesurgical robotic system. For increasing the efficiency of secured telesurgery environments, the idea of a telesurgical authority is introduced that ensures the integrity, identity management, authentication policy implementation, and postoperative data security. An analysis is provided describing the security and throughput of Advanced Encryption Standard during the intraoperative phase of SecureSurgiNET. Moreover, we have tabulated the possible attacks on SecureSurgiNET along with the devised defensive measures. Finally, we also present a time complexity analysis of the SecureSurgiNET through simulations. © The Author(s) 2019

On the Role of the Inner State Size in Stream Ciphers

Many modern stream ciphers consist of a keystream generator and a key schedule algorithm. In fielded systems, security of the keystream generator is often based on a large inner state rather than an inherently secure design. Note, however, that little theory on the initialisation of large inner states exists, and many practical designs are based on an ad-hoc approach. As a consequence, an increasing number of attacks on stream ciphers exploit the (re-)initialisation of large inner states by a weak key schedule algorithm. In this paper, we propose a strict separation of keystream generator and key schedule algorithm in stream cipher design. A formal definition of inner state size is given, and lower bounds on the necessary inner state size are proposed. After giving a construction for a secure stream cipher from an insecure keystream generator, the limitations of such an approach are discussed. We introduce the notion of inner state size efficiency and compare it for a number of fielded stream ciphers, indicating that a secure cipher can be based on reasonable inner state sizes. Concluding, we ask a number of open questions that may give rise to a new field of research that is concerned with the security of key schedule algorithms

RC4OK. An improvement of the RC4 stream cipher

In this paper we present an improved version of the classical RC4 stream cipher. The improvements allow to build lightweight high-performance cryptographically strong random number generator suitable for use in IoT and as a corresponding component of operating systems. The criterion for high performance is both a high speed of generating a stream of random numbers and low overhead costs for adding entropy from physical events to the state of the generator

Design and Analysis of RC4-like Stream Ciphers

RC4 is one of the most widely used ciphers in practical software applications. In this thesis we examine security and design aspects of RC4. First we describe the functioning of RC4 and present previously published analyses. We then present a new cipher, Chameleon which uses a similar internal organization to RC4 but uses different methods. The remainder of the thesis uses ideas from both Chameleon and RC4 to develop design strategies for new ciphers. In particular, we develop a new cipher, RC4B, with the goal of greater security with an algorithm comparable in simplicity to RC4. We also present design strategies for ciphers and two new ciphers for 32-bit processors. Finally we present versions of Chameleon and RC4B that are implemented using playing-cards

Some Words on Cryptanalysis of Stream Ciphers

In the world of cryptography, stream ciphers are known as primitives used to ensure privacy over a communication channel. One common way to build a stream cipher is to use a keystream generator to produce a pseudo-random sequence of symbols. In such algorithms, the ciphertext is the sum of the keystream and the plaintext, resembling the one-time pad principal. Although the idea behind stream ciphers is simple, serious investigation of these primitives has started only in the late 20th century. Therefore, cryptanalysis and design of stream ciphers are important. In recent years, many designs of stream ciphers have been proposed in an effort to find a proper candidate to be chosen as a world standard for data encryption. That potential candidate should be proven good by time and by the results of cryptanalysis. Different methods of analysis, in fact, explain how a stream cipher should be constructed. Thus, techniques for cryptanalysis are also important. This thesis starts with an overview of cryptography in general, and introduces the reader to modern cryptography. Later, we focus on basic principles of design and analysis of stream ciphers. Since statistical methods are the most important cryptanalysis techniques, they will be described in detail. The practice of statistical methods reveals several bottlenecks when implementing various analysis algorithms. For example, a common property of a cipher to produce n-bit words instead of just bits makes it more natural to perform a multidimensional analysis of such a design. However, in practice, one often has to truncate the words simply because the tools needed for analysis are missing. We propose a set of algorithms and data structures for multidimensional cryptanalysis when distributions over a large probability space have to be constructed. This thesis also includes results of cryptanalysis for various cryptographic primitives, such as A5/1, Grain, SNOW 2.0, Scream, Dragon, VMPC, RC4, and RC4A. Most of these results were achieved with the help of intensive use of the proposed tools for cryptanalysis