On the Performance of DTLS and TLS 1.3
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Hannes Tschofenig
Securing IoT applications with Mbed TLS Hannes Tschofenig Part#2: Public Key-based authentication March 2018 © 2018 Arm Limited Munich Agenda • For Part #2 of the webinar we are moving from Pre-Shared Secrets (PSKs) to certificated-based authentication. • TLS-PSK ciphersuites have • great performance, • low overhead, • small code size. • Drawback is the shared key concept. • Public key cryptography was invented to deal with this drawback (but itself has drawbacks). 2 © 2018 Arm Limited Public Key Infrastructure and certificate configuration © 2018 Arm Limited Public Key Infrastructure Various PKI deployments in existence Structure of our PKI The client has to store: self-signed • Client certificate plus corresponding private key. CA cert • CA certificate, which serves as the trust anchor. The server has to store: Signed by CA Signed by CA • Server certificate plus corresponding private key. Client cert Server cert (Some information for authenticating the client) 4 © 2018 Arm Limited Generating certificates (using OpenSSL tools) • When generating certificates you will be prompted to enter info. You are about to be asked to enter information that will be • The CA cert will end up in the trust incorporated into your certificate request. What you are about to enter is what is called a Distinguished anchor store of the client. Name or a DN. There are quite a few fields but you can leave some blank For some fields there will be a default value, • The Common Name used in the server If you enter '.', the field will be left blank. ----- cert needs to be resolvable via DNS Country Name (2 letter code) [AU]:. -
Fast Elliptic Curve Cryptography in Openssl
Fast Elliptic Curve Cryptography in OpenSSL Emilia K¨asper1;2 1 Google 2 Katholieke Universiteit Leuven, ESAT/COSIC [email protected] Abstract. We present a 64-bit optimized implementation of the NIST and SECG-standardized elliptic curve P-224. Our implementation is fully integrated into OpenSSL 1.0.1: full TLS handshakes using a 1024-bit RSA certificate and ephemeral Elliptic Curve Diffie-Hellman key ex- change over P-224 now run at twice the speed of standard OpenSSL, while atomic elliptic curve operations are up to 4 times faster. In ad- dition, our implementation is immune to timing attacks|most notably, we show how to do small table look-ups in a cache-timing resistant way, allowing us to use precomputation. To put our results in context, we also discuss the various security-performance trade-offs available to TLS applications. Keywords: elliptic curve cryptography, OpenSSL, side-channel attacks, fast implementations 1 Introduction 1.1 Introduction to TLS Transport Layer Security (TLS), the successor to Secure Socket Layer (SSL), is a protocol for securing network communications. In its most common use, it is the \S" (standing for \Secure") in HTTPS. Two of the most popular open- source cryptographic libraries implementing SSL and TLS are OpenSSL [19] and Mozilla Network Security Services (NSS) [17]: OpenSSL is found in, e.g., the Apache-SSL secure web server, while NSS is used by Mozilla Firefox and Chrome web browsers, amongst others. TLS provides authentication between connecting parties, as well as encryp- tion of all transmitted content. Thus, before any application data is transmit- ted, peers perform authentication and key exchange in a TLS handshake. -
Arxiv:1911.09312V2 [Cs.CR] 12 Dec 2019
Revisiting and Evaluating Software Side-channel Vulnerabilities and Countermeasures in Cryptographic Applications Tianwei Zhang Jun Jiang Yinqian Zhang Nanyang Technological University Two Sigma Investments, LP The Ohio State University [email protected] [email protected] [email protected] Abstract—We systematize software side-channel attacks with three questions: (1) What are the common and distinct a focus on vulnerabilities and countermeasures in the cryp- features of various vulnerabilities? (2) What are common tographic implementations. Particularly, we survey past re- mitigation strategies? (3) What is the status quo of cryp- search literature to categorize vulnerable implementations, tographic applications regarding side-channel vulnerabili- and identify common strategies to eliminate them. We then ties? Past work only surveyed attack techniques and media evaluate popular libraries and applications, quantitatively [20–31], without offering unified summaries for software measuring and comparing the vulnerability severity, re- vulnerabilities and countermeasures that are more useful. sponse time and coverage. Based on these characterizations This paper provides a comprehensive characterization and evaluations, we offer some insights for side-channel of side-channel vulnerabilities and countermeasures, as researchers, cryptographic software developers and users. well as evaluations of cryptographic applications related We hope our study can inspire the side-channel research to side-channel attacks. We present this study in three di- community to discover new vulnerabilities, and more im- rections. (1) Systematization of literature: we characterize portantly, to fortify applications against them. the vulnerabilities from past work with regard to the im- plementations; for each vulnerability, we describe the root cause and the technique required to launch a successful 1. -
Secure Industrial Device Connectivity with Low-Overhead TLS
Secure Industrial Device Connectivity with Low-Overhead TLS Tuesday, October 3, 2017 1:10PM-2:10PM Chris Conlon - Engineering Manager, wolfSSL - B.S. from Montana State University (Bozeman, MT) - Software engineer at wolfSSL (7 years) Contact Info: - Email: [email protected] - Twitter: @c_conlon A. – B. – C. – D. – E. F. ● ● ● ○ ● ○ ● ○ ● Original Image Encrypted using ECB mode Modes other than ECB ● ○ ● ○ ● ● ● ● ○ ● ● ● ● ○ ● ○ ○ ○ ○ ● ○ ● ● ● ● ○ ● ● ○ By Original schema: A.J. Han Vinck, University of Duisburg-EssenSVG version: Flugaal - A.J. Han Vinck, Introduction to public key cryptography, p. 16, Public Domain, https://commons.wikimedia.org/w/index.php?curid=17063048 ● ○ ● ○ ■ ■ ■ ● ○ ■ ● ● ● ● ● ○ ● ● ● ● ● ● ● ○ ○ ○ ○ ● “Progressive” is a subjective term ● These slides talk about crypto algorithms that are: ○ New, modern ○ Becoming widely accepted ○ Have been integrated into SSL/TLS with cipher suites ● ChaCha20 ● Poly1305 ● Curve25519 ● Ed25519 Created by Daniel Bernstein a research professor at the University of Illinois, Chicago Chacha20-Poly1305 AEAD used in Google over HTTPS Ed25519 and ChaCha20-Poly1305 AEAD used in Apple’s HomeKit (iOS Security) ● Fast stream cipher ● Based from Salsa20 stream cipher using a different quarter-round process giving it more diffusion ● Can be used for AEAD encryption with Poly1305 ● Was published by Bernstein in 2008 Used by ● Google Chrome ● TinySSH ● Apple HomeKit ● wolfSSL ● To provide authenticity of messages (MAC) ● Extremely fast in comparison to others ● Introduced by a presentation given from Bernstein in 2002 ● Naming scheme from using polynomial-evaluation MAC (Message Authentication Code) over a prime field Z/(2^130 - 5) Used by ● Tor ● Google Chrome ● Apple iOS ● wolfSSL Generic Montgomery curve. Reference 5 Used by ● Tera Term ● GnuPG ● wolfSSL Generic Twisted Edwards Curve. -
Black-Box Security Analysis of State Machine Implementations Joeri De Ruiter
Black-box security analysis of state machine implementations Joeri de Ruiter 18-03-2019 Agenda 1. Why are state machines interesting? 2. How do we know that the state machine is implemented correctly? 3. What can go wrong if the implementation is incorrect? What are state machines? • Almost every protocol includes some kind of state • State machine is a model of the different states and the transitions between them • When receiving a messages, given the current state: • Decide what action to perform • Which message to respond with • Which state to go the next Why are state machines interesting? • State machines play a very important role in security protocols • For example: • Is the user authenticated? • Did we agree on keys? And if so, which keys? • Are we encrypting our traffic? • Every implementation of a protocol has to include the corresponding state machine • Mistakes can lead to serious security issues! State machine example Confirm transaction Verify PIN 0000 Failed Init Failed Verify PIN 1234 OK Verified Confirm transaction OK State machines in specifications • Often specifications do not explicitly contain a state machine • Mainly explained in lots of prose • Focus usually on happy flow • What to do if protocol flow deviates from this? Client Server ClientHello --------> ServerHello Certificate* ServerKeyExchange* CertificateRequest* <-------- ServerHelloDone Certificate* ClientKeyExchange CertificateVerify* [ChangeCipherSpec] Finished --------> [ChangeCipherSpec] <-------- Finished Application Data <-------> Application Data -
No.Ntnu:Inspera:2546742.Pdf (10.61Mb)
Krishna Shingala An alternative to the Public Key Krishna Shingala Infrastructure for the Internet of Things Master’s thesis in Communication Technology Supervisor: Danilo Gligoroski, Katina Kralevska, Torstein Heggebø Master’s thesis Master’s June 2019 An alternative to PKI for IoT PKI for to An alternative NTNU Engineering Communication Technology Communication Department of Information Security and Department of Information Faculty of Information Technology and Electrical Technology of Information Faculty Norwegian University of Science and Technology of Science University Norwegian An alternative to the Public Key Infras- tructure for the Internet of Things Krishna Shingala Submission date: June 2019 Responsible professor: Danilo Gligoroski, IIK, NTNU Supervisor: Danilo Gligoroski, IIK, NTNU Co-Supervisor: Katina Kralevska, IIK, NTNU Co-Supervisor: Torstein Heggebø, Nordic Semiconductor ASA Norwegian University of Science and Technology Department of Information Technology and Electrical Engineering Title: An alternative to the Public Key Infrastructure for the Internet of Things Student: Krishna Shingala Problem description: Internet of Things(IoT) enables participation of constrained devices on the Internet. Limited resources, bandwidth, and power on the devices have led to new protocols. Some examples of IoT driven and driving protocols are: – MQTT, CoAP that are application protocols for IoT; – 6LoWPAN enables efficient support of IPv6 on low power lossy networks; – CBOR enables concise data formatting; and – DTLS enables secure channel establishment over unreliable transport like the UDP. Security is one of the key factors for the success of IoT. TLS/DTLS secures the channel between the servers and the devices. Confidentiality is an important aspect of such a secure channel. Establishing the identity of an entity another. -
Dynamic Public Key Certificates with Forward Secrecy
electronics Article Dynamic Public Key Certificates with Forward Secrecy Hung-Yu Chien Department of Information Management, National Chi Nan University, Nantou 54561, Taiwan; [email protected] Abstract: Conventionally, public key certificates bind one subject with one static public key so that the subject can facilitate the services of the public key infrastructure (PKI). In PKI, certificates need to be renewed (or revoked) for several practical reasons, including certificate expiration, private key breaches, condition changes, and possible risk reduction. The certificate renewal process is very costly, especially for those environments where online authorities are not available or the connection is not reliable. A dynamic public key certificate (DPKC) facilitates the dynamic changeover of the current public–private key pairs without renewing the certificate authority (CA). This paper extends the previous study in several aspects: (1) we formally define the DPKC; (2) we formally define the security properties; (3) we propose another implementation of the Krawczyk–Rabin chameleon-hash- based DPKC; (4) we propose two variants of DPKC, using the Ateniese–Medeiros key-exposure-free chameleon hash; (5) we detail two application scenarios. Keywords: dynamic public key certificate; chameleon signature; certificate renewal; wireless sensor networks; perfect forward secrecy 1. Introduction Citation: Chien, H.-Y. Dynamic Certificates act as the critical tokens in conventional PKI systems. With the trust Public Key Certificates with Forward of the CA, a -
You Really Shouldn't Roll Your Own Crypto: an Empirical Study of Vulnerabilities in Cryptographic Libraries
You Really Shouldn’t Roll Your Own Crypto: An Empirical Study of Vulnerabilities in Cryptographic Libraries Jenny Blessing Michael A. Specter Daniel J. Weitzner MIT MIT MIT Abstract A common aphorism in applied cryptography is that cryp- The security of the Internet rests on a small number of open- tographic code is inherently difficult to secure due to its com- source cryptographic libraries: a vulnerability in any one of plexity; that one should not “roll your own crypto.” In par- them threatens to compromise a significant percentage of web ticular, the maxim that complexity is the enemy of security traffic. Despite this potential for security impact, the character- is a common refrain within the security community. Since istics and causes of vulnerabilities in cryptographic software the phrase was first popularized in 1999 [52], it has been in- are not well understood. In this work, we conduct the first voked in general discussions about software security [32] and comprehensive analysis of cryptographic libraries and the vul- cited repeatedly as part of the encryption debate [26]. Conven- nerabilities affecting them. We collect data from the National tional wisdom holds that the greater the number of features Vulnerability Database, individual project repositories and in a system, the greater the risk that these features and their mailing lists, and other relevant sources for eight widely used interactions with other components contain vulnerabilities. cryptographic libraries. Unfortunately, the security community lacks empirical ev- Among our most interesting findings is that only 27.2% of idence supporting the “complexity is the enemy of security” vulnerabilities in cryptographic libraries are cryptographic argument with respect to cryptographic software. -
SSL Checklist for Pentesters
SSL Checklist for Pentesters Jerome Smith BSides MCR, 27th June 2014 # whoami whoami jerome • Pentester • Author/trainer – Hands-on technical – Web application, infrastructure, wireless security • Security projects – Log correlation – Dirty data – Incident response exercises • Sysadmin • MSc Computing Science (Dist) • www.exploresecurity.com | @exploresecurity Introduction • Broad review of SSL/TLS checks – Viewpoint of pentester – Pitfalls – Manually replicating what tools do (unless you told the client that SSL Labs would be testing them ) – Issues to consider reporting (but views are my own) • While SSL issues are generally low in priority, it’s nice to get them right! • I’m not a cryptographer: this is all best efforts SSLv2 • Flawed, e.g. no handshake protection → MITM downgrade • Modern browsers do not support SSLv2 anyway – Except for IE but it’s disabled by default from IE7 – That mitigates the risk these days – http://en.wikipedia.org/wiki/Transport_Layer_Security#W eb_browsers • OpenSSL 1.0.0+ doesn’t support it – Which means SSLscan won’t find it – General point: tools that dynamically link to an underlying SSL library in the OS can be limited by what that library supports SSLv2 • Same scan on different OpenSSL versions: SSLv2 • testssl.sh warns you – It can work with any installed OpenSSL version • OpenSSL <1.0.0 s_client -ssl2 switch – More on this later • Recompile OpenSSL – http://blog.opensecurityresearch.com/2013/05/fixing-sslv2-support- in-kali-linux.html • SSLyze 0.7+ is statically linked – Watch out for bug https://github.com/iSECPartners/sslyze/issues/73 -
Sicherheit in Kommunikationsnetzen (Network Security)
Sicherheit in Kommunikationsnetzen (Network Security) Transport Layer Security Dr.-Ing. Matthäus Wander Universität Duisburg-Essen Transport Layer Security (TLS) PrivateTLS data Web browser Web server ∙ Cryptographic protocol ∘ Provides security on top of reliable transport (TCP) ∘ Used to secure HTTP, SMTP, IMAP, XMPP and others ∙ Security goals ∘ Authentication of server and optionally client ∘ Data integrity (no manipulation of data) ∘ Confidentiality (encryption) Universität Duisburg-Essen Matthäus Wander 2 Verteilte Systeme History ∙ Predecessor: Secure Sockets Layer (SSL) ∘ Developed by Netscape for HTTPS (= HTTP + SSL) ∙ 1994: SSL 2.0 ∘ Insecure, major security weaknesses ∙ 1995: SSL 3.0 ∘ Insecure, deprecated since 2015 (RFC 7568) ∙ 1999: TLS 1.0, minor improvements to SSL 3.0 ∘ Standardization and further development by IETF Universität Duisburg-Essen Matthäus Wander 3 Verteilte Systeme History ∙ 2003: TLS Extensions ∘ New features or security mechanisms (e.g. Encrypt-then-MAC, RFC 7366) ∙ 2006: TLS 1.1 ∘ Security improvements ∙ 2008: TLS 1.2 Presented in this lecture ∘ Added new or replaced old cryptographic algorithms ∙ TLS 1.3 is work in progress as of 2017 ∘ Outlook: new handshake and other major changes Universität Duisburg-Essen Matthäus Wander 4 Verteilte Systeme Protocol Overview Application Layer (e.g. HTTP) Handshake Change Cipher Application Alert Protocol Protocol Spec Protocol Data Protocol Record Protocol Transport Layer (e.g. TCP) ∙ TLS consists of two layers: ∘ Handshake Protocol and other protocols ∘ Record Protocol -
7) Internet of Things a Survey on the Security of Iot Frameworks
Journal of Information Security and Applications 38 (2018) 8–27 Contents lists available at ScienceDirect Journal of Information Security and Applications journal homepage: www.elsevier.com/locate/jisa Internet of Things: A survey on the security of IoT frameworks ∗ Mahmoud Ammar a, , Giovanni Russello b, Bruno Crispo a a Department of Computer Science, KU Leuven University, Heverlee, 3001, Belgium b Department of Computer Science, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand a r t i c l e i n f o a b s t r a c t Article history: The Internet of Things (IoT) is heavily affecting our daily lives in many domains, ranging from tiny wear- able devices to large industrial systems. Consequently, a wide variety of IoT applications have been devel- Keywords: oped and deployed using different IoT frameworks. An IoT framework is a set of guiding rules, protocols, Internet of Things and standards which simplify the implementation of IoT applications. The success of these applications IoT mainly depends on the ecosystem characteristics of the IoT framework, with the emphasis on the security Framework mechanisms employed in it, where issues related to security and privacy are pivotal. In this paper, we sur- Platform vey the security of the main IoT frameworks, a total of 8 frameworks are considered. For each framework, Security we clarify the proposed architecture, the essentials of developing third-party smart apps, the compati- ble hardware, and the security features. Comparing security architectures shows that the same standards used for securing communications, whereas different methodologies followed for providing other security properties. -
Performance of State-Of-The-Art Cryptography on ARM-Based Microprocessors
NIST Lightweight Cryptography Workshop 2015 Session VII: Implementations & Performance Performance of State-of-the-Art Cryptography on ARM-based Microprocessors Hannes Tschofenig & Manuel Pegourie-Gonnard ([email protected], [email protected] ) Presented by Hugo Vincent ([email protected] ) IoT Business Unit Tuesday, July 21, 2015 1 Outline § Why does ARM care about crypto performance? § ARM Cortex-M vs. Cortex-A Class processors. § Short overview of the Cortex-M processor family. § Internet of Things – a world full of constraints. § Performance of crypto on Cortex-M class processors § Assumptions § Hardware used for measurement § Symmetric Key Cryptography § Public Key Crypto (with different curves) § Cortex-M3/M4 Performance § Cortex-M0/M0+ Performance § Curve25519 § RAM Usage § Applying Results to TLS/DTLS § Conclusion & Next Steps 2 Why does ARM care about Crypto Performance? 3 ARM Processors in Smartphones § ARM Cortex-A family: § Applications processors for feature-rich OS and 3rd party applications § ARM Cortex-R family: § Embedded processors for real-time signal processing, control applications § ARM Cortex-M family: § Microcontroller- oriented processors for MCU, ASSP, and SoC applications 4 Cortex-M Processors Maximum Performance Flexible Memory Cache Single & Double Precision FP Digital Signal Control (DSC)/ Examples: Automotive, Processor with DSP High-end audio set Accelerated SIMD Performance & efficiency Floating point (FP) Example: Sensor fusion, Feature rich connectivity motor control Example: