Friday Squid Blogging: An MRI Scan of a Squid’s Brain

This paper is filled with brain science that I do not understand (news article), but fails to answer what I consider to be the important question: how do you keep a live squid still for long enough to do an MRI scan on them?

As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.

Read my blog posting guidelines here.

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Security in 2020: Revisited

Ten years ago, I wrote an essay: “Security in 2020.” Well, it’s finally 2020. I think I did pretty well. Here’s what I said back then:

There’s really no such thing as security in the abstract. Security can only be defined in relation to something else. You’re secure from something or against something. In the next 10 years, the traditional definition of IT security — that it protects you from hackers, criminals, and other bad guys — will undergo a radical shift. Instead of protecting you from the bad guys, it will increasingly protect businesses and their business models from you.

Ten years ago, the big conceptual change in IT security was deperimeterization. A wordlike grouping of 18 letters with both a prefix and a suffix, it has to be the ugliest word our industry invented. The concept, though — the dissolution of the strict boundaries between the internal and external network — was both real and important.

There’s more deperimeterization today than there ever was. Customer and partner access, guest access, outsourced e-mail, VPNs; to the extent there is an organizational network boundary, it’s so full of holes that it’s sometimes easier to pretend it isn’t there. The most important change, though, is conceptual. We used to think of a network as a fortress, with the good guys on the inside and the bad guys on the outside, and walls and gates and guards to ensure that only the good guys got inside. Modern networks are more like cities, dynamic and complex entities with many different boundaries within them. The access, authorization, and trust relationships are even more complicated.

Today, two other conceptual changes matter. The first is consumerization. Another ponderous invented word, it’s the idea that consumers get the cool new gadgets first, and demand to do their work on them. Employees already have their laptops configured just the way they like them, and they don’t want another one just for getting through the corporate VPN. They’re already reading their mail on their BlackBerrys or iPads. They already have a home computer, and it’s cooler than the standard issue IT department machine. Network administrators are increasingly losing control over clients.

This trend will only increase. Consumer devices will become trendier, cheaper, and more integrated; and younger people are already used to using their own stuff on their school networks. It’s a recapitulation of the PC revolution. The centralized computer center concept was shaken by people buying PCs to run VisiCalc; now it’s iPads and Android smartphones.

The second conceptual change comes from cloud computing: our increasing tendency to store our data elsewhere. Call it decentralization: our email, photos, books, music, and documents are stored somewhere, and accessible to us through our consumer devices. The younger you are, the more you expect to get your digital stuff on the closest screen available. This is an important trend, because it signals the end of the hardware and operating system battles we’ve all lived with. Windows vs. Mac doesn’t matter when all you need is a web browser. Computers become temporary; user backup becomes irrelevant. It’s all out there somewhere — and users are increasingly losing control over their data.

During the next 10 years, three new conceptual changes will emerge, two of which we can already see the beginnings of. The first I’ll call deconcentration. The general-purpose computer is dying and being replaced by special-purpose devices. Some of them, like the iPhone, seem general purpose but are strictly controlled by their providers. Others, like Internet-enabled game machines or digital cameras, are truly special purpose. In 10 years, most computers will be small, specialized, and ubiquitous.

Even on what are ostensibly general-purpose devices, we’re seeing more special-purpose applications. Sure, you could use the iPhone’s web browser to access the New York Times website, but it’s much easier to use the NYT’s special iPhone app. As computers become smaller and cheaper, this trend will only continue. It’ll be easier to use special-purpose hardware and software. And companies, wanting more control over their users’ experience, will push this trend.

The second is decustomerization — now I get to invent the really ugly words — the idea that we get more of our IT functionality without any business relation­ship. We’re all part of this trend: every search engine gives away its services in exchange for the ability to advertise. It’s not just Google and Bing; most webmail and social networking sites offer free basic service in exchange for advertising, possibly with premium services for money. Most websites, even useful ones that take the place of client software, are free; they are either run altruistically or to facilitate advertising.

Soon it will be hardware. In 1999, Internet startup FreePC tried to make money by giving away computers in exchange for the ability to monitor users’ surfing and purchasing habits. The company failed, but computers have only gotten cheaper since then. It won’t be long before giving away netbooks in exchange for advertising will be a viable business. Or giving away digital cameras. Already there are companies that give away long-distance minutes in exchange for advertising. Free cell phones aren’t far off. Of course, not all IT hardware will be free. Some of the new cool hardware will cost too much to be free, and there will always be a need for concentrated computing power close to the user — game systems are an obvious example — but those will be the exception. Where the hardware costs too much to just give away, however, we’ll see free or highly subsidized hardware in exchange for locked-in service; that’s already the way cell phones are sold.

This is important because it destroys what’s left of the normal business rela­tionship between IT companies and their users. We’re not Google’s customers; we’re Google’s product that they sell to their customers. It’s a three-way relation­ship: us, the IT service provider, and the advertiser or data buyer. And as these noncustomer IT relationships proliferate, we’ll see more IT companies treating us as products. If I buy a Dell computer, then I’m obviously a Dell customer; but if I get a Dell computer for free in exchange for access to my life, it’s much less obvious whom I’m entering a business relationship with. Facebook’s continual ratcheting down of user privacy in order to satisfy its actual customers­–the advertisers–and enhance its revenue is just a hint of what’s to come.

The third conceptual change I’ve termed depersonization: computing that removes the user, either partially or entirely. Expect to see more software agents: programs that do things on your behalf, such as prioritize your email based on your observed preferences or send you personalized sales announcements based on your past behavior. The “people who liked this also liked” feature on many retail websites is just the beginning. A website that alerts you if a plane ticket to your favorite destination drops below a certain price is simplistic but useful, and some sites already offer this functionality. Ten years won’t be enough time to solve the serious artificial intelligence problems required to fully real­ize intelligent agents, but the agents of that time will be both sophisticated and commonplace, and they’ll need less direct input from you.

Similarly, connecting objects to the Internet will soon be cheap enough to be viable. There’s already considerable research into Internet-enabled medical devices, smart power grids that communicate with smart phones, and networked automobiles. Nike sneakers can already communicate with your iPhone. Your phone already tells the network where you are. Internet-enabled appliances are already in limited use, but soon they will be the norm. Businesses will acquire smart HVAC units, smart elevators, and smart inventory systems. And, as short-range communications — like RFID and Bluetooth — become cheaper, everything becomes smart.

The “Internet of things” won’t need you to communicate. The smart appliances in your smart home will talk directly to the power company. Your smart car will talk to road sensors and, eventually, other cars. Your clothes will talk to your dry cleaner. Your phone will talk to vending machines; they already do in some countries. The ramifications of this are hard to imagine; it’s likely to be weirder and less orderly than the contemporary press describes it. But certainly smart objects will be talking about you, and you probably won’t have much control over what they’re saying.

One old trend: deperimeterization. Two current trends: consumerization and decentralization. Three future trends: deconcentration, decustomerization, and depersonization. That’s IT in 2020 — it’s not under your control, it’s doing things without your knowledge and consent, and it’s not necessarily acting in your best interests. And this is how things will be when they’re working as they’re intended to work; I haven’t even started talking about the bad guys yet.

That’s because IT security in 2020 will be less about protecting you from traditional bad guys, and more about protecting corporate business models from you. Deperimeterization assumes everyone is untrusted until proven otherwise. Consumerization requires networks to assume all user devices are untrustworthy until proven otherwise. Decentralization and deconcentration won’t work if you’re able to hack the devices to run unauthorized software or access unauthorized data. Deconsumerization won’t be viable unless you’re unable to bypass the ads, or whatever the vendor uses to monetize you. And depersonization requires the autonomous devices to be, well, autonomous.

In 2020 — 10 years from now — Moore’s Law predicts that computers will be 100 times more powerful. That’ll change things in ways we can’t know, but we do know that human nature never changes. Cory Doctorow rightly pointed out that all complex ecosystems have parasites. Society’s traditional parasites are criminals, but a broader definition makes more sense here. As we users lose control of those systems and IT providers gain control for their own purposes, the definition of “parasite” will shift. Whether they’re criminals trying to drain your bank account, movie watchers trying to bypass whatever copy protection studios are using to protect their profits, or Facebook users trying to use the service without giving up their privacy or being forced to watch ads, parasites will continue to try to take advantage of IT systems. They’ll exist, just as they always have existed, and — like today — security is going to have a hard time keeping up with them.

Welcome to the future. Companies will use technical security measures, backed up by legal security measures, to protect their business models. And unless you’re a model user, the parasite will be you.

My only real complaint with the essay is that I used “decentralization” in a nonstandard manner, and didn’t explain it well. I meant that our personal data will become decentralized; instead of it all being on our own computers, it will be on the computers of various cloud providers. But that causes a massive centralization of all of our data. I should have explicitly called out the risks of that.

Otherwise, I’m happy with what I wrote ten years ago.

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New Ransomware Targets Industrial Control Systems

EKANS is a new ransomware that targets industrial control systems:

But EKANS also uses another trick to ratchet up the pain: It’s designed to terminate 64 different software processes on victim computers, including many that are specific to industrial control systems. That allows it to then encrypt the data that those control system programs interact with. While crude compared to other malware purpose-built for industrial sabotage, that targeting can nonetheless break the software used to monitor infrastructure, like an oil firm’s pipelines or a factory’s robots. That could have potentially dangerous consequences, like preventing staff from remotely monitoring or controlling the equipment’s operation.

EKANS is actually the second ransomware to hit industrial control systems. According to Dragos, another ransomware strain known as Megacortex that first appeared last spring included all of the same industrial control system process-killing features, and may in fact be a predecessor to EKANS developed by the same hackers. But because Megacortex also terminated hundreds of other processes, its industrial-control-system targeted features went largely overlooked.

Speculation is that this is criminal in origin, and not the work of a government.

It’s also the first malware that is named after a Pokémon character.

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Porn Sites Suffer Highest Number of DDoS Attacks

Porn Sites Suffer Highest Number of DDoS Attacks

A new study focused on distributed denial of service (DDoS) attacks has found that pornographic websites received by far the most attacks per site last year. 

To produce their “Global DDoS Threat Landscape” report, researchers at Imperva studied attack data gathered between May and December 2019. Their findings, published yesterday, reveal that websites in the adult entertainment industry received an average of 84.46 attacks per site.

Over the same period, the sites that received the second- and third-highest number of DDoS attacks were gaming and news industry websites, which received on average 13.33 and 10.16 attacks per site, respectively.

“Every adult site we tracked over the course of the year experienced an average 84 attacks which, between May and December, equates to 10.5 attacks per site each month,” wrote researchers. 

Most of the DDoS attacks carried out over the observation period were aimed at the gaming and gambling industries. Gaming was the primary target, hit with 35.92%, while gambling accounted for 31.25%. A significant proportion of the total attacks—26.51%—was aimed at the computing and internet sector. 

The country that sustained the most DDoS attacks was found to be India. Hong Kong, which previously held the top spot, became instead the country in which most targets were attacked.

Despite observing the largest ever recorded DDoS attack in April, which reached 580 Mpps (million packets per second) at its peak, researchers found that the majority of attacks didn’t exceed 50 Mpps/Gbps (gigabits per second). Most network attacks were short too, with 51% lasting fewer than 15 minutes in length.

The duration of an attack provides telling information regarding the identity of the attackers. 

Researchers wrote: “Most of the attacks we recorded were relatively short, lasting less than an hour. Furthermore, within a one-hour distribution, the most common attacks were those that only lasted for 10 minutes or less.

“This, combined with our observation that most attacks were low in terms of both volume and rate, suggests that these short-term, weak attacks were most likely performed by DDoS-for-hire (or stresser) groups whose limited resources tend to be spread thin in order to service as many customers as possible.”

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