 last July 1.
In December, DeVos announced a new system. The department would grant loan forgiveness on a sliding scale based on former students’ earnings compared with those of graduates of comparable programs that passed government muster. Those who earned less than 50% of comparable wages got full relief. The rest got relief on a sliding scale. For example, those earning 50% to 59% of comparable wages won forgiveness of 50% of their outstanding loans, and those earning 90% or more received forgiveness of only 10%.
In announcing the new system, the department disclosed that it had reviewed 21,500 claims using the new rules, approving 12,900 and denying 8,600.
The feds are about to lower the boom on the watchdog that gave bankrupt Corinthian Colleges its seal of approval.
The problem identified by plaintiffs in the lawsuit considered by Kim was that the Education Department used Social Security records to determine the applicants’ earnings by sending applicants’ Social Security numbers and dates of birth to the Social Security Administration. The Social Security Administration, in return, sent the Education Department “aggregate” statistical data about earnings, which the latter used to decide how much debt to forgive in every individual case.
Kim’s ruling leaves applicants for loan forgiveness in limbo, since it’s unclear what rules the Education Department should use going forward. That issue, among others, will be aired at the June 4 hearing.That is a bizarre map projection to use.
Based on honeypots. Shows grossly incomplete tactical situation. But nice as a wall display decoration.
Also, open the site in a tab and go to another tab. Leave it for a while. Switch back. The animation that did not run during the backgrounded period will show all the queued attacks at once, in a beautiful salvo.
I would rather play some chess.
Are the honeypots reporting real time data somewhere that the map aggregates? And if so, why would they do that? Wouldnâ€™t it defeat the purpose of the honeypot?
As nice as chess are, they donâ€™t pack the punch of a global thermonuclear war.
The map operator should add descriptions to at least the most commonly occurring ports. 137 is Windows-something, 8118 is Privoxy proxy.
So all the â€œtargetsâ€� are controlled by the mapmakers?
Kind of like a sensor array. The targets/sensors are spread over the globe, detect scans, and relay the results.
If you stare at it for long enough, youâ€™ll see occassional salvos of probes at a single port, often followed by a salvo at another port from the same source. Usually from China. Couple minutes ago I saw such large telnet probe from China to US, followed with a VNC one.
Thanks for the explanation. Thatâ€™s something Iâ€™ve wondered about every time I see one of these sorts of maps.
You can get the same (and way WAY better) info by passive listening on the internet backbone. I would guess that NSA has a wall map of realtime attacks sourced that way - itâ€™s cool, itâ€™s useful (after you filter out the chaff thatâ€™d clog the tactical screen), and they have the resources.
â€¦And Iâ€™d do it if I could, and quite many things from my Iâ€™d-do-it set appeared in the Snowden leaks.
Itâ€™s fascinating to watch, but Iâ€™m really curious as to the international political movements behind these attacks (which is only a percentage, to be sure, but likely a large one, I would think). For instance, the UAE getting hammered? Related to the Saudiâ€™s military adventuring? Hitting the US Navy base there? Also, Kirksville, MO? 
Also, Kirksville, MO? 
The whole IP range? Most of the attacks are worms, trying to spread their botnet payload. Every machine is valuable.
The politics, in the wild mix of state and nostate actors and politics-agnostic botnets, distills down to everybody-against-everybody.
There is a properties frame left in the gif that probably wasnâ€™t meant to be left in.
For instance, the UAE getting hammered?
The UAE is the pursestrings (and major political motivator for most of our involvement in the middle east) for the entire developed world - I can think of a dozen reasons folks might be targeting them.
Edit: Wait, Iâ€™m thinking of Saudi Arabia, arenâ€™t I?
Look at China go! Interesting to see them so high on the attackers list, but apparently not a high priority target themselves.
Iâ€™d argue the Sauds have, by a wide margin, far more â€˜weightâ€™ in the international politics realm than the UAEâ€“it just seemed weird that the UAE would be in the top ten places being attacked.
They may be in the top ten places by number of sensor nodes installed.
Their blog doesnâ€™t offer a great deal of context, but hereâ€™s some analysis of their own data.
Never underestimate the power of the blinkey lights. For good or evil.
I have trained a couple dozen people in networking. It used to take weeks to teach an clear understanding of network behavior. I would talk principles, then have the new guy use TCPDump and WireShark. Then a few days learning principles and practice of switching. After that, we would move into net-flow and s-flow. Then they were ready to learn IDS principles and start playing with Snort. At every step, it takes days before it clicks together. The first few steps are so foreign, that some take weeks to get past them.
Lately, we use our organic network visualization tool and the first few steps take half as long. There is something about being able to tie the log entries to actual visual events that really help people.
and, they become believers. Lately, we have added the Norse display to the mix. It is like dynamiting fish. Takes all the sport out of it. I image this is similar to how the NSA has been manipulating itâ€™s oversight committees to get free reign.
Interesting videos, especially the darknet one.
The organic visualiser is rather weak, though.
Idea for a visualisation tool: monitoring ARP broadcasts. Thatâ€™s the advertising of what machine wants to talk with what other machine. Attempt to scan a network for IP addresses will show as a fan of ARP requests from one IP to many others (who-has x.x.x.x tell y.y.y.y). Requests to nonexistent/disconnected/off machines should be detectable as repeated ones (or indicate severe packet loss).
Works for awareness of whatâ€™s happening at the individual network segments.
Could be used with the IPVisualizer dot array; just add lines that fade out.
Possibly add a 3d interface where the lines scroll away along the z-axis, to show past patterns, and allow filtering by activity (e.g. â€œignore all communicaton with gateway, ignore all where fewer than 2 machines are contacted at any given minuteâ€�, etcâ€¦).
Hi Shaddack, I remembered that I had a recent picture of our â€œWall O Persuasionâ€�. The neat thing is how all the pieces work together. You can point to a moving scan of our space on the IPVisualizer in the upper left, then point to the details of the scan in the darknet monitor in the lower left. Then, use the Organic visualizer to illustrate the resultant activity as it finds an open service. Then find the scan in the Norse monitor (or a similar one from within a close CIDR) to show where the attack is originating. Boggles folks in record time. And, it is great for impressing the Brass.
The problem with ARP visualization is not in the display, it is in gathering the data. You either have to beat up your routers with constant direct polling, or have lots of expensive SPAN/monitor ports, or you have to have an ARPWatch-ish device somehow attached to every routed area. We have found it easier to poll ARP tables on a regular basis and flag when unexpected ARP behavior is detected. It is not pretty, but it catches the occasional ARP spoofer.0 items ·
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Copyright © 2017 Capital Books and Wellness. Ecommerce Software by Shopify.Tech watchers have had plenty to buzz about following Sandy, the superstorm that walloped the East Coast.
From cell site outages to Wi-Fi network issues to a story on how to spot a fake storm photo