Noninteractive Verifiable Outsourcing Algorithm for Bilinear Pairing with Improved Checkability

It is well known that the computation of bilinear pairing is the most expensive operation in pairing-based cryptography. In this paper, we propose a noninteractive verifiable outsourcing algorithm of bilinear pairing based on two servers in the one-malicious model. The outsourcer need not execute any expensive operation, such as scalar multiplication and modular exponentiation. Moreover, the outsourcer could detect any failure with a probability close to 1 if one of the servers misbehaves. Therefore, the proposed algorithm improves checkability and decreases communication cost compared with the previous ones. Finally, we utilize the proposed algorithm as a subroutine to achieve an anonymous identity-based encryption (AIBE) scheme with outsourced decryption and an identity-based signature (IBS) scheme with outsourced verification

Privacy-preserving efficient searchable encryption

Data storage and computation outsourcing to third-party managed data centers, in environments such as Cloud Computing, is increasingly being adopted by individuals, organizations, and governments. However, as cloud-based outsourcing models expand to society-critical data and services, the lack of effective and independent control over security and privacy conditions in such settings presents significant challenges. An interesting solution to these issues is to perform computations on encrypted data, directly in the outsourcing servers. Such an approach benefits from not requiring major data transfers and decryptions, increasing performance and scalability of operations. Searching operations, an important application case when cloud-backed repositories increase in number and size, are good examples where security, efficiency, and precision are relevant requisites. Yet existing proposals for searching encrypted data are still limited from multiple perspectives, including usability, query expressiveness, and client-side performance and scalability. This thesis focuses on the design and evaluation of mechanisms for searching encrypted data with improved efficiency, scalability, and usability. There are two particular concerns addressed in the thesis: on one hand, the thesis aims at supporting multiple media formats, especially text, images, and multimodal data (i.e. data with multiple media formats simultaneously); on the other hand the thesis addresses client-side overhead, and how it can be minimized in order to support client applications executing in both high-performance desktop devices and resource-constrained mobile devices. From the research performed to address these issues, three core contributions were developed and are presented in the thesis: (i) CloudCryptoSearch, a middleware system for storing and searching text documents with privacy guarantees, while supporting multiple modes of deployment (user device, local proxy, or computational cloud) and exploring different tradeoffs between security, usability, and performance; (ii) a novel framework for efficiently searching encrypted images based on IES-CBIR, an Image Encryption Scheme with Content-Based Image Retrieval properties that we also propose and evaluate; (iii) MIE, a Multimodal Indexable Encryption distributed middleware that allows storing, sharing, and searching encrypted multimodal data while minimizing client-side overhead and supporting both desktop and mobile devices

SDSF : social-networking trust based distributed data storage and co-operative information fusion.

As of 2014, about 2.5 quintillion bytes of data are created each day, and 90% of the data in the world was created in the last two years alone. The storage of this data can be on external hard drives, on unused space in peer-to-peer (P2P) networks or using the more currently popular approach of storing in the Cloud. When the users store their data in the Cloud, the entire data is exposed to the administrators of the services who can view and possibly misuse the data. With the growing popularity and usage of Cloud storage services like Google Drive, Dropbox etc., the concerns of privacy and security are increasing. Searching for content or documents, from this distributed stored data, given the rate of data generation, is a big challenge. Information fusion is used to extract information based on the query of the user, and combine the data and learn useful information. This problem is challenging if the data sources are distributed and heterogeneous in nature where the trustworthiness of the documents may be varied. This thesis proposes two innovative solutions to resolve both of these problems. Firstly, to remedy the situation of security and privacy of stored data, we propose an innovative Social-based Distributed Data Storage and Trust based co-operative Information Fusion Framework (SDSF). The main objective is to create a framework that assists in providing a secure storage system while not overloading a single system using a P2P like approach. This framework allows the users to share storage resources among friends and acquaintances without compromising the security or privacy and enjoying all the benefits that the Cloud storage offers. The system fragments the data and encodes it to securely store it on the unused storage capacity of the data owner\u27s friends\u27 resources. The system thus gives a centralized control to the user over the selection of peers to store the data. Secondly, to retrieve the stored distributed data, the proposed system performs the fusion also from distributed sources. The technique uses several algorithms to ensure the correctness of the query that is used to retrieve and combine the data to improve the information fusion accuracy and efficiency for combining the heterogeneous, distributed and massive data on the Cloud for time critical operations. We demonstrate that the retrieved documents are genuine when the trust scores are also used while retrieving the data sources. The thesis makes several research contributions. First, we implement Social Storage using erasure coding. Erasure coding fragments the data, encodes it, and through introduction of redundancy resolves issues resulting from devices failures. Second, we exploit the inherent concept of trust that is embedded in social networks to determine the nodes and build a secure net-work where the fragmented data should be stored since the social network consists of a network of friends, family and acquaintances. The trust between the friends, and availability of the devices allows the user to make an informed choice about where the information should be stored using `k\u27 optimal paths. Thirdly, for the purpose of retrieval of this distributed stored data, we propose information fusion on distributed data using a combination of Enhanced N-grams (to ensure correctness of the query), Semantic Machine Learning (to extract the documents based on the context and not just bag of words and also considering the trust score) and Map Reduce (NSM) Algorithms. Lastly we evaluate the performance of distributed storage of SDSF using era- sure coding and identify the social storage providers based on trust and evaluate their trustworthiness. We also evaluate the performance of our information fusion algorithms in distributed storage systems. Thus, the system using SDSF framework, implements the beneficial features of P2P networks and Cloud storage while avoiding the pitfalls of these systems. The multi-layered encrypting ensures that all other users, including the system administrators cannot decode the stored data. The application of NSM algorithm improves the effectiveness of fusion since large number of genuine documents are retrieved for fusion

Advanced Cryptographic Techniques for Protecting Log Data

This thesis examines cryptographic techniques providing security for computer log files. It focuses on ensuring authenticity and integrity, i.e. the properties of having been created by a specific entity and being unmodified. Confidentiality, the property of being unknown to unauthorized entities, will be considered, too, but with less emphasis. Computer log files are recordings of actions performed and events encountered in computer systems. While the complexity of computer systems is steadily growing, it is increasingly difficult to predict how a given system will behave under certain conditions, or to retrospectively reconstruct and explain which events and conditions led to a specific behavior. Computer log files help to mitigate the problem of retracing a system’s behavior retrospectively by providing a (usually chronological) view of events and actions encountered in a system. Authenticity and integrity of computer log files are widely recognized security requirements, see e.g. [Latham, ed., "Department of Defense Trusted Computer System Evaluation Criteria", 1985, p. 10], [Kent and Souppaya, "Guide to Computer Security Log Management", NIST Special Publication 800-92, 2006, Section 2.3.2], [Guttman and Roback, "An Introduction to Computer Security: The NIST Handbook", superseded NIST Special Publication 800-12, 1995, Section 18.3.1], [Nieles et al., "An Introduction to Information Security" , NIST Special Publication 800-12, 2017, Section 9.3], [Common Criteria Editorial Board, ed., "Common Criteria for Information Technology Security Evaluation", Part 2, Section 8.6]. Two commonly cited ways to ensure integrity of log files are to store log data on so-called write-once-read-many-times (WORM) drives and to immediately print log records on a continuous-feed printer. This guarantees that log data cannot be retroactively modified by an attacker without physical access to the storage medium. However, such special-purpose hardware may not always be a viable option for the application at hand, for example because it may be too costly. In such cases, the integrity and authenticity of log records must be ensured via other means, e.g. with cryptographic techniques. Although these techniques cannot prevent the modification of log data, they can offer strong guarantees that modifications will be detectable, while being implementable in software. Furthermore, cryptography can be used to achieve public verifiability of log files, which may be needed in applications that have strong transparency requirements. Cryptographic techniques can even be used in addition to hardware solutions, providing protection against attackers who do have physical access to the logging hardware, such as insiders. Cryptographic schemes for protecting stored log data need to be resilient against attackers who obtain control over the computer storing the log data. If this computer operates in a standalone fashion, it is an absolute requirement for the cryptographic schemes to offer security even in the event of a key compromise. As this is impossible with standard cryptographic tools, cryptographic solutions for protecting log data typically make use of forward-secure schemes, guaranteeing that changes to log data recorded in the past can be detected. Such schemes use a sequence of authentication keys instead of a single one, where previous keys cannot be computed efficiently from latter ones. This thesis considers the following requirements for, and desirable features of, cryptographic logging schemes: 1) security, i.e. the ability to reliably detect violations of integrity and authenticity, including detection of log truncations, 2) efficiency regarding both computational and storage overhead, 3) robustness, i.e. the ability to verify unmodified log entries even if others have been illicitly changed, and 4) verifiability of excerpts, including checking an excerpt for omissions. The goals of this thesis are to devise new techniques for the construction of cryptographic schemes that provide security for computer log files, to give concrete constructions of such schemes, to develop new models that can accurately capture the security guarantees offered by the new schemes, as well as to examine the security of previously published schemes. This thesis demands that cryptographic schemes for securely storing log data must be able to detect if log entries have been deleted from a log file. A special case of deletion is log truncation, where a continuous subsequence of log records from the end of the log file is deleted. Obtaining truncation resistance, i.e. the ability to detect truncations, is one of the major difficulties when designing cryptographic logging schemes. This thesis alleviates this problem by introducing a novel technique to detect log truncations without the help of third parties or designated logging hardware. Moreover, this work presents new formal security notions capturing truncation resistance. The technique mentioned above is applied to obtain cryptographic logging schemes which can be shown to satisfy these notions under mild assumptions, making them the first schemes with formally proven truncation security. Furthermore, this thesis develops a cryptographic scheme for the protection of log files which can support the creation of excerpts. For this thesis, an excerpt is a (not necessarily contiguous) subsequence of records from a log file. Excerpts created with the scheme presented in this thesis can be publicly checked for integrity and authenticity (as explained above) as well as for completeness, i.e. the property that no relevant log entry has been omitted from the excerpt. Excerpts provide a natural way to preserve the confidentiality of information that is contained in a log file, but not of interest for a specific public analysis of the log file, enabling the owner of the log file to meet confidentiality and transparency requirements at the same time. The scheme demonstrates and exemplifies the technique for obtaining truncation security mentioned above. Since cryptographic techniques to safeguard log files usually require authenticating log entries individually, some researchers [Ma and Tsudik, "A New Approach to Secure Logging", LNCS 5094, 2008; Ma and Tsudik, "A New Approach to Secure Logging", ACM TOS 2009; Yavuz and Peng, "BAF: An Efficient Publicly Verifiable Secure Audit Logging Scheme for Distributed Systems", ACSAC 2009] have proposed using aggregatable signatures [Boneh et al., "Aggregate and Verifiably Encrypted Signatures from Bilinear Maps", EUROCRYPT 2003] in order to reduce the overhead in storage space incurred by using such a cryptographic scheme. Aggregation of signatures refers to some “combination” of any number of signatures (for distinct or equal messages, by distinct or identical signers) into an “aggregate” signature. The size of the aggregate signature should be less than the total of the sizes of the orginal signatures, ideally the size of one of the original signatures. Using aggregation of signatures in applications that require storing or transmitting a large number of signatures (such as the storage of log records) can lead to significant reductions in the use of storage space and bandwidth. However, aggregating the signatures for all log records into a single signature will cause some fragility: The modification of a single log entry will render the aggregate signature invalid, preventing the cryptographic verification of any part of the log file. However, being able to distinguish manipulated log entries from non-manipulated ones may be of importance for after-the-fact investigations. This thesis addresses this issue by presenting a new technique providing a trade-off between storage overhead and robustness, i.e. the ability to tolerate some modifications to the log file while preserving the cryptographic verifiability of unmodified log entries. This robustness is achieved by the use of a special kind of aggregate signatures (called fault-tolerant aggregate signatures), which contain some redundancy. The construction makes use of combinatorial methods guaranteeing that if the number of errors is below a certain threshold, then there will be enough redundancy to identify and verify the non-modified log entries. Finally, this thesis presents a total of four attacks on three different schemes intended for securely storing log files presented in the literature [Yavuz et al., "Efficient, Compromise Resilient and Append-Only Cryptographic Schemes for Secure Audit Logging", Financial Cryptography 2012; Ma, "Practical Forward Secure Sequential Aggregate Signatures", ASIACCS 2008]. The attacks allow for virtually arbitrary log file forgeries or even recovery of the secret key used for authenticating the log file, which could then be used for mostly arbitrary log file forgeries, too. All of these attacks exploit weaknesses of the specific schemes. Three of the attacks presented here contradict the security properties of the schemes claimed and supposedly proven by the respective authors. This thesis briefly discusses these proofs and points out their flaws. The fourth attack presented here is outside of the security model considered by the scheme’s authors, but nonetheless presents a realistic threat. In summary, this thesis advances the scientific state-of-the-art with regard to providing security for computer log files in a number of ways: by introducing a new technique for obtaining security against log truncations, by providing the first scheme where excerpts from log files can be verified for completeness, by describing the first scheme that can achieve some notion of robustness while being able to aggregate log record signatures, and by analyzing the security of previously proposed schemes