Unencrypted data, which will be accessible to law enforcement, will continue to dominate the Internet A study from Harvard released Monday largely refutes claims that wider use of encryption in software products will hamper investigations into terrorism and crime. It predicts that the continued expansion of Internet-connected devices — such as smart TVs and vehicles, IP video cameras and more — will offer fresh opportunities for tracking targets. “Law enforcement or intelligence agencies may start to seek orders compelling Samsung, Google, Mattel, Nest or vendors of other networked devices to push an update or flip a digital switch to intercept the ambient communications of a target,” it said. “These are real products now.” The study comes from Harvard’s Berkman Center for Internet Society and was signed by well-known figures, including security expert Bruce Schneier, Jonathan Zittrain of Harvard Law School and Matthew G. Olsen, former director of the U.S. National Counterterrorism Center. All are members of the Berkman Center’s Berklett Cybersecurity Project, which studies surveillance and cybersecurity issues. The technology industry has come under increasing pressure from some government officials in the U.S. and U.K., who contend that bolstering data security, primarily through encryption, will diminish their capabilities to fight terrorism and crime, and will result in those sources “going dark.” While law enforcement can gain access to data held by service providers through warrants, some systems have been designed in a way that the service providers can’t provide any information at all. These so-called end-to-end encryption systems leave users in sole possession of the decryption keys. Without a password, law enforcement would have to use other means to try to decrypt data. The study, titled “Don’t Panic: Making progress on the encryption debate,” does acknowledge encryption will poses challenges in some instances but by no means will dictate the landscape of future technology products. “To be sure, encryption and provider-opaque services make surveillance more difficult in certain cases, but the landscape is far more variegated than the metaphor suggests,” it said. “There are and will always be pockets of dimness and some dark spots — communications channels resistant to surveillance — but this does not mean we are completely ‘going dark’.” For example, many consumer Web services are unlikely to enable end-to-end encryption because their business models rely on analyzing data and then monetizing it through advertising. Also metadata — the information surrounding communications that makes it possible to technically transfer it — is usually not encrypted and probably won’t be on a large scale. Metadata includes email headers, phone call records and location data from phones. “The trajectory of technological development points to a future abundant in unencrypted data,” the study said. Related content news Dell provides $150M to develop an AI compute cluster for Imbue Helping the startup build an independent system to create foundation models may help solidify Dell’s spot alongside cloud computing giants in the race to power AI. By Elizabeth Montalbano Nov 29, 2023 4 mins Generative AI Machine Learning Artificial Intelligence news DRAM prices slide as the semiconductor industry starts to decline TSMC is reported to be cutting production runs on its mature process nodes as a glut of older chips in the market is putting downward pricing pressure on DDR4. By Sam Reynolds Nov 29, 2023 3 mins Flash Storage Technology Industry news analysis Cisco, AWS strengthen ties between cloud-management products Combining insights from Cisco ThousandEyes and AWS into a single view can dramatically reduce problem identification and resolution time, the vendors say. By Michael Cooney Nov 28, 2023 4 mins Network Management Software Cloud Computing opinion Is anything useful happening in network management? Enterprises see the potential for AI to benefit network management, but progress so far is limited by AI’s ability to work with company-specific network data and the range of devices that AI can see. By Tom Nolle Nov 28, 2023 7 mins Generative AI Network Management Software Podcasts Videos Resources Events NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe