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End-to-end encryption (E2EE) is a system of communication where only the communicating users can read the messages. In principle, it prevents potential eavesdroppers – including telecom providers, Internet providers, and even the provider of the communication service – from being able to access the cryptographic keys needed to decrypt the conversation.
In many messaging systems, including email and many chat networks, messages pass through intermediaries and are stored by a third party, from which they are retrieved by the recipient. Even if the messages are encrypted, they are only encrypted 'in transit', and are thus accessible by the service provider, regardless of whether server-side disk encryption is used. Server-side disk encryption simply prevents unauthorized users from viewing this information, it does not prevent the company itself from viewing the information, as they have the key and can simply decrypt this data. This allows the third party to provide search and other features, or to scan for illegal and unacceptable content, but also means they can be read and misused by anyone who has access to the stored messages on the third party system, whether this is by design or via a backdoor. This can be seen as a concern in many cases where privacy is very important, such as businesses whose reputation depends on their ability to protect third party data, negotiations and communications that are important enough to have a risk of targeted 'hacking' or surveillance, and where sensitive subjects such as health, and information about minors are involved[further explanation needed].
End-to-end encryption is intended to prevent data being read or secretly modified, other than by the true sender and recipient(s). The messages are encrypted by the sender but the third party does not have a means to decrypt them, and stores them encrypted. The recipients retrieve the encrypted data and decrypt it themselves.
Because no third parties can decipher the data being communicated or stored, for example, companies that use end-to-end encryption are unable to hand over texts of their customers' messages to the authorities.
Etymology of the term
The term "end-to-end encryption" originally only meant that the communication is never decrypted during its transport from the sender to the receiver. For example, around 2003, E2EE has been proposed as an additional layer of encryption for GSM or TETRA, in addition to the existing radio encryption protecting the communication between the mobile device and the network infrastructure. This has been standardised by SFPG for TETRA. Note that in TETRA E2EE, the keys are generated by a Key Management Centre (KMC) or a Key Management Facility (KMF), not by the communicating users.
Later, around 2014, the meaning of "end-to-end encryption" started to evolve when WhatsApp encrypted a portion of its network, requiring that not only the communication stays encrypted during transport, but also that the provider of the communication service is not able to decrypt the communications either by having access to the private key, or by having the capability to undetectably inject an adversarial public key as part of a man-in-the-middle attack. This new meaning is now the widely accepted one.
As of 2016, typical server-based communications systems do not include end-to-end encryption. These systems can only guarantee the protection of communications between clients and servers, meaning that users have to trust the third parties who are running the servers with the sensitive content. End-to-end encryption is regarded as safer because it reduces the number of parties who might be able to interfere or break the encryption. In the case of instant messaging, users may use a third-party client or plugin to implement an end-to-end encryption scheme over an otherwise non-E2EE protocol.
Some non-E2EE systems, such as Lavabit and Hushmail, have described themselves as offering "end-to-end" encryption when they did not. Other systems, such as Telegram and Google Allo, have been criticized for not having end-to-end encryption, which they do offer, enabled by default. Telegram did not enable end-to-end encryption by default on VoIP calls while users were using desktop software version, but that problem was fixed quickly. However, as of 2020, Telegram still features no end-to-end encryption by default, no end-to-end encryption for group chats, and no end-to-end encryption for its desktop clients.
Some encrypted backup and file sharing services provide client-side encryption. The encryption they offer is here not referred to as end-to-end encryption, because the services are not meant for sharing messages between users[further explanation needed]. However, the term "end-to-end encryption" is sometimes incorrectly used to describe client-side encryption.
End-to-end encryption ensures that data is transferred securely between endpoints. But, rather than try to break the encryption, an eavesdropper may impersonate a message recipient (during key exchange or by substituting his public key for the recipient's), so that messages are encrypted with a key known to the attacker. After decrypting the message, the snoop can then encrypt it with a key that they share with the actual recipient, or their public key in case of asymmetric systems, and send the message on again to avoid detection. This is known as a man-in-the-middle attack (MITM).
Most end-to-end encryption protocols include some form of endpoint authentication specifically to prevent MITM attacks. For example, one could rely on certification authorities or a web of trust. An alternative technique is to generate cryptographic hashes (fingerprints) based on the communicating users’ public keys or shared secret keys. The parties compare their fingerprints using an outside (out-of-band) communication channel that guarantees integrity and authenticity of communication (but not necessarily secrecy), before starting their conversation. If the fingerprints match, there is in theory, no man in the middle.
When displayed for human inspection, fingerprints usually use some form of Binary-to-text encoding. These strings are then formatted into groups of characters for readability. Some clients instead display a natural language representation of the fingerprint. As the approach consists of a one-to-one mapping between fingerprint blocks and words, there is no loss in entropy. The protocol may choose to display words in the user's native (system) language. This can, however, make cross-language comparisons prone to errors.
In order to improve localization, some protocols have chosen to display fingerprints as base 10 strings instead of more error prone hexadecimal or natural language strings. An example of the base 10 fingerprint (called safety number in Signal and security code in WhatsApp) would be
37345 35585 86758 07668 05805 48714 98975 19432 47272 72741 60915 64451
The end-to-end encryption paradigm does not directly address risks at the communications endpoints themselves. Each user's computer can still be hacked to steal his or her cryptographic key (to create a MITM attack) or simply read the recipients’ decrypted messages both in real time and from log files. Even the most perfectly encrypted communication pipe is only as secure as the mailbox on the other end. Major attempts to increase endpoint security have been to isolate key generation, storage and cryptographic operations to a smart card such as Google's Project Vault. However, since plaintext input and output are still visible to the host system, malware can monitor conversations in real time. A more robust approach is to isolate all sensitive data to a fully air gapped computer. PGP has been recommended by experts for this purpose:
If I really had to trust my life to a piece of software, I would probably use something much less flashy — GnuPG, maybe, running on an isolated computer locked in a basement.
However, as Bruce Schneier points out, Stuxnet developed by US and Israel successfully jumped air gap and reached Natanz nuclear plant's network in Iran. To deal with key exfiltration with malware, one approach is to split the Trusted Computing Base behind two unidirectionally connected computers that prevent either insertion of malware, or exfiltration of sensitive data with inserted malware.
A backdoor is usually a secret method of bypassing normal authentication or encryption in a computer system, a product, or an embedded device, etc. Companies may also willingly or unwillingly introduce backdoors to their software that help subvert key negotiation or bypass encryption altogether. In 2013, information leaked by Edward Snowden showed that Skype had a backdoor which allowed Microsoft to hand over their users' messages to the NSA despite the fact that those messages were officially end-to-end encrypted.
Following terrorist attacks in San Bernardino in 2015 and Pensacola in 2019, the FBI requested backdoors to Apple's iPhone software. The company, however, refused to create a backdoor for the government, citing concern that such a tool could pose for its consumers' privacy.
Compliance and regulatory requirements for content inspection
While E2EE can offer privacy benefits that make it desirable in consumer-grade services, many businesses have to balance these benefits with their regulatory requirements. For example, many organizations are subject to mandates that require them to be able to decrypt any communication between their employees or between their employees and third parties.  This might be needed for archival purposes, for inspection by Data Loss Prevention (DLP) systems, for litigation-related eDiscovery or for detection of malware and other threats in the data streams. For this reason, some enterprise-focused communications and information protection systems might implement encryption in a way that ensures all transmissions are encrypted with the encryption being terminated at their internal systems (on-premises or cloud-based) so can have access to the information for inspection and processing.
- Comparison of instant messaging clients#Secure messengers – a table overview of instant messaging clients that offer end-to-end encryption
- Comparison of instant messaging protocols
- Comparison of VoIP software#Secure VoIP software – a table overview of VoIP clients that offer end-to-end encryption
- Client-side encryption – the encryption of data before it is transmitted to a server
- Point to Point Encryption
- "Hacker Lexicon: What Is End-to-End Encryption?". WIRED. 2014-11-25. Archived from the original on 23 December 2015. Retrieved 22 December 2015.
- "Cryptography Concepts - Fundamentals - E3Kit | Virgil Security". developer.virgilsecurity.com. Retrieved 2020-10-30.
- Mundhenk, Ben Rothke and David (2009-09-10). "End-to-End Encryption: The PCI Security Holy Grail". CSO Online. Retrieved 2020-11-04.
- McLaughlin, Jenna (21 December 2015). "Democratic Debate Spawns Fantasy Talk on Encryption". The Intercept. Archived from the original on 23 December 2015.
- Baran, Paul (1964). "IX. Security, Secrecy, and Tamper-Free Considerations. III. Some Fundamentals of Cryptography". On Distributed Communications. RAND corporation.
- Moldal, L.; Jorgensen, T. (11 February 2003). End to end encryption in GSM, DECT and satellite networks using NSK200. IET. doi:10.1049/ic:20030013.
- Murgatroyd, Brian (11 February 2003). End to end encryption in public safety TETRA networks. IET. doi:10.1049/ic:20030015.
- "New chair for the SFPG". 2007.
- Morquecho Martinez, Raul Alejandro (31 March 2016). Delivery of encryption keys in TETRA networks (PDF) (Master's Thesis). Aalto University.
- "Forget Apple vs. the FBI: WhatsApp Just Switched on Encryption for a Billion People". Wired. ISSN 1059-1028. Retrieved 2021-03-02.
- "A history of end-to-end encryption and the death of PGP". www.cryptologie.net. Retrieved 2020-10-30.
- Nabeel, Mohamed (2017-06-23). "The Many Faces of End-to-End Encryption and Their Security Analysis". 2017 IEEE International Conference on Edge Computing (EDGE). IEEE: 252–259. doi:10.1109/ieee.edge.2017.47. ISBN 978-1-5386-2017-5. S2CID 3419988.
- "What is End-to-end encryption (E2EE) ?". Geneva Business News | Actualités: Emploi, RH, économie, entreprises, Genève, Suisse. (in French). 2016-02-19. Retrieved 2020-11-05.
- Bai, Wei; Pearson, Michael; Kelley, Patrick Gage; Mazurek, Michelle L. (September 2020). "Improving Non-Experts' Understanding of End-to-End Encryption: An Exploratory Study". 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). Genoa, Italy: IEEE: 210–219. doi:10.1109/EuroSPW51379.2020.00036. ISBN 978-1-7281-8597-2. S2CID 220524858.
- "End-to-End Encryption". EFF Surveillance Self-Defense Guide. Electronic Frontier Foundation. Archived from the original on 5 March 2016. Retrieved 2 February 2016.
- "How to: Use OTR for Windows". EEF Surveillance Self-Defence Guide. Electronic Frontier Foundation. Archived from the original on 20 January 2016. Retrieved 2 February 2016.
- Grauer, Yael. "Mr. Robot Uses ProtonMail, But It Still Isn't Fully Secure". WIRED. Archived from the original on 2017-03-09.
- "Why Telegram's security flaws may put Iran's journalists at risk". Committee to Protect Journalists. 31 May 2016. Archived from the original on 19 August 2016. Retrieved 23 September 2016.
- Hackett, Robert (21 May 2016). "Here's Why Privacy Savants Are Blasting Google Allo". Fortune. Time Inc. Archived from the original on 10 September 2016. Retrieved 23 September 2016.
- "Improving Non-Experts' Understanding of End-to-End Encryption: An Exploratory Study". ResearchGate. Retrieved 2020-11-05.
- Schneier, Bruce; Ferguson, Niels; Kohno, Tadayoshi (2010). Cryptography engineering : design principles and practical applications. Indianapolis, IN: Wiley Pub., inc. p. 183. ISBN 978-0470474242.
- "What is man-in-the-middle attack (MitM)? - Definition from WhatIs.com". IoT Agenda. Archived from the original on 5 January 2016. Retrieved 7 January 2016.
- Dechand, Sergej (10–12 August 2016). "An Empirical Study of Textual Key-Fingerprint Representations" (PDF). The Advanced Computing System Association: 1–17.
- "pEp White Paper" (PDF). pEp Foundation Council. 18 July 2016. Archived (PDF) from the original on 1 October 2016. Retrieved 11 October 2016.
- Marlinspike, Moxie (5 April 2016). "WhatsApp's Signal Protocol integration is now complete". Open Whisper Systems. Archived from the original on 10 October 2016. Retrieved 11 October 2016.
- Budington, Bill (7 April 2016). "WhatsApp Rolls Out End-To-End Encryption to its Over One Billion Users". Deeplinks Blog. Electronic Frontier Foundation. Archived from the original on 12 September 2016. Retrieved 11 October 2016.
- Julie Bort, Matt Weinberger "Google's Project Vault is a tiny computer for sending secret messages" Archived 2017-08-08 at the Wayback Machine, Business Insider, NYC May 29, 2015
- Whonix Wiki "Air Gapped OpenPGP Key" Archived 2017-08-08 at the Wayback Machine
- Bruce Schneier "Air Gaps" Archived 2017-06-09 at the Wayback Machine, Schneier on Security, October 11, 2013
- "maqp/tfc". GitHub. Archived from the original on 31 March 2017. Retrieved 26 April 2018.
- Eckersley, Peter; Portnoy, Erica (8 May 2017). "Intel's Management Engine is a security hazard, and users need a way to disable it". www.eff.org. Archived from the original on 6 March 2018. Retrieved 7 March 2018.
- Goodin, Dan (20 May 2013). "Think your Skype messages get end-to-end encryption? Think again". Ars Technica. Archived from the original on 22 December 2015.
- Greenwald, Glenn; MacAskill, Ewen; Poitras, Laura; Ackerman, Spencer; Rushe, Dominic (12 July 2013). "Microsoft handed the NSA access to encrypted messages". the Guardian. Archived from the original on 19 November 2015.
- Leswing, Kif (2020-01-16). "Apple's fight with Trump and the Justice Department is about more than two iPhones". CNBC. Retrieved 2021-04-16.
- "Why GDPR Makes it Urgent to Scan Encrypted Traffic for Data Loss". SonicWall. 28 November 2017.
- Ermoshina, Ksenia; Musiani, Francesca; Halpin, Harry (September 2016). "End-to-End Encrypted Messaging Protocols: An Overview" (PDF). In Bagnoli, Franco; et al. (eds.). Internet Science. INSCI 2016. Florence, Italy: Springer. pp. 244–254. doi:10.1007/978-3-319-45982-0_22. ISBN 978-3-319-45982-0.