Can Beehive detect a Snowden-like actor?

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In a seminar, one of the Authors of Beehive: Large-Scale Log Analysis for Detecting Suspicious Activity in Enterprise Networks said that this system can prevent actions like Snowden did.
From their articles' conclusions;
Beehive improves on signature-based approaches to detecting security incidents. Instead, it flags suspected security incidents in hosts based on behavioral analysis. In our evaluation, Beehive detected malware infections and policy violations that went otherwise unnoticed by existing, state-of-the-art security tools and personal.
Can Beehive or a similar system prevent Snowden type action?
malware antimalware corporate-policy detection incident-response
add a comment |Â
up vote
1
down vote
favorite
In a seminar, one of the Authors of Beehive: Large-Scale Log Analysis for Detecting Suspicious Activity in Enterprise Networks said that this system can prevent actions like Snowden did.
From their articles' conclusions;
Beehive improves on signature-based approaches to detecting security incidents. Instead, it flags suspected security incidents in hosts based on behavioral analysis. In our evaluation, Beehive detected malware infections and policy violations that went otherwise unnoticed by existing, state-of-the-art security tools and personal.
Can Beehive or a similar system prevent Snowden type action?
malware antimalware corporate-policy detection incident-response
Simple answer: No, most certainly not. Snowden was someone who had privileged access and had the authority and reason to mass-download content (he was a sysadmin).
â forest
1 hour ago
But in the training case, they model everybody according to their behavior. So, after the training, a mass download will be a behavioral change that will produce an alert signal.
â kelalaka
1 hour ago
@kelalaka Not if mass-downloading was taking place during the training.
â TripeHound
1 hour ago
Unless mass-downloading is 1) not common and 2) it's not possible to just throttle the download.
â forest
1 hour ago
Why "mass download" is even considered suspicious. there are will be some sorts of constant "mass" downloads during everyday usage, was my first thought. What is mass download? 1 MB? 500 MB ? 5 GB? 500 GB? ...
â Croll
8 mins ago
add a comment |Â
up vote
1
down vote
favorite
up vote
1
down vote
favorite
In a seminar, one of the Authors of Beehive: Large-Scale Log Analysis for Detecting Suspicious Activity in Enterprise Networks said that this system can prevent actions like Snowden did.
From their articles' conclusions;
Beehive improves on signature-based approaches to detecting security incidents. Instead, it flags suspected security incidents in hosts based on behavioral analysis. In our evaluation, Beehive detected malware infections and policy violations that went otherwise unnoticed by existing, state-of-the-art security tools and personal.
Can Beehive or a similar system prevent Snowden type action?
malware antimalware corporate-policy detection incident-response
In a seminar, one of the Authors of Beehive: Large-Scale Log Analysis for Detecting Suspicious Activity in Enterprise Networks said that this system can prevent actions like Snowden did.
From their articles' conclusions;
Beehive improves on signature-based approaches to detecting security incidents. Instead, it flags suspected security incidents in hosts based on behavioral analysis. In our evaluation, Beehive detected malware infections and policy violations that went otherwise unnoticed by existing, state-of-the-art security tools and personal.
Can Beehive or a similar system prevent Snowden type action?
malware antimalware corporate-policy detection incident-response
malware antimalware corporate-policy detection incident-response
edited 3 mins ago
Johnny
412112
412112
asked 1 hour ago
kelalaka
1918
1918
Simple answer: No, most certainly not. Snowden was someone who had privileged access and had the authority and reason to mass-download content (he was a sysadmin).
â forest
1 hour ago
But in the training case, they model everybody according to their behavior. So, after the training, a mass download will be a behavioral change that will produce an alert signal.
â kelalaka
1 hour ago
@kelalaka Not if mass-downloading was taking place during the training.
â TripeHound
1 hour ago
Unless mass-downloading is 1) not common and 2) it's not possible to just throttle the download.
â forest
1 hour ago
Why "mass download" is even considered suspicious. there are will be some sorts of constant "mass" downloads during everyday usage, was my first thought. What is mass download? 1 MB? 500 MB ? 5 GB? 500 GB? ...
â Croll
8 mins ago
add a comment |Â
Simple answer: No, most certainly not. Snowden was someone who had privileged access and had the authority and reason to mass-download content (he was a sysadmin).
â forest
1 hour ago
But in the training case, they model everybody according to their behavior. So, after the training, a mass download will be a behavioral change that will produce an alert signal.
â kelalaka
1 hour ago
@kelalaka Not if mass-downloading was taking place during the training.
â TripeHound
1 hour ago
Unless mass-downloading is 1) not common and 2) it's not possible to just throttle the download.
â forest
1 hour ago
Why "mass download" is even considered suspicious. there are will be some sorts of constant "mass" downloads during everyday usage, was my first thought. What is mass download? 1 MB? 500 MB ? 5 GB? 500 GB? ...
â Croll
8 mins ago
Simple answer: No, most certainly not. Snowden was someone who had privileged access and had the authority and reason to mass-download content (he was a sysadmin).
â forest
1 hour ago
Simple answer: No, most certainly not. Snowden was someone who had privileged access and had the authority and reason to mass-download content (he was a sysadmin).
â forest
1 hour ago
But in the training case, they model everybody according to their behavior. So, after the training, a mass download will be a behavioral change that will produce an alert signal.
â kelalaka
1 hour ago
But in the training case, they model everybody according to their behavior. So, after the training, a mass download will be a behavioral change that will produce an alert signal.
â kelalaka
1 hour ago
@kelalaka Not if mass-downloading was taking place during the training.
â TripeHound
1 hour ago
@kelalaka Not if mass-downloading was taking place during the training.
â TripeHound
1 hour ago
Unless mass-downloading is 1) not common and 2) it's not possible to just throttle the download.
â forest
1 hour ago
Unless mass-downloading is 1) not common and 2) it's not possible to just throttle the download.
â forest
1 hour ago
Why "mass download" is even considered suspicious. there are will be some sorts of constant "mass" downloads during everyday usage, was my first thought. What is mass download? 1 MB? 500 MB ? 5 GB? 500 GB? ...
â Croll
8 mins ago
Why "mass download" is even considered suspicious. there are will be some sorts of constant "mass" downloads during everyday usage, was my first thought. What is mass download? 1 MB? 500 MB ? 5 GB? 500 GB? ...
â Croll
8 mins ago
add a comment |Â
2 Answers
2
active
oldest
votes
up vote
3
down vote
A backup operator will have the permission and behavioral markers of someone that moves lots of data around. Like any sysadmin where there's no dedicated backup operator in place.
Snowden was a sysadmin. He would knew all the protection protocols in place. He could just impersonate anyone, from any area, download things, impersonate the next one, and keep doing that.
If it's common knowledge that there's no bulletproof protection against a dedicated attacker, imagine a trusted internal dedicated attacker with sysadmin privileges.
add a comment |Â
up vote
1
down vote
Anomaly detection systems like Beehive make it easier than before to dig through lots of data and detect suspicious behavior. This means that it is possible for an analyst to focus on the more relevant data, process more data in shorter time and also use more detailed input data for the analysis. This way the chance is higher than before that somebody can detect unwanted behavior.
It is claimed (and I have no reason to doubt this claim) in the Beehive paper that the system can detect more incidents than the usually used systems - but it is not claimed that the system can detect every incident or even how much of all incidents it could detect. Thus, it might be that other systems only detect 10% of all incidents and Beehive detects 20%, which is good but not really satisfactory.
Could such a system detect somebody like Snowden? This depends a lot on how much and what kind and what detail of data is collected for analysis, how strict the existing security policies are in the first place so that policy violations can be logged and how much the illegal (as seen by the NSA) activities of Snowden differed from his usual work activity. The more it differs the more likely it can be detected by anomaly detection system. But the more similar illegal and legal activities are in terms of the logged data, the less likely is that illegal activities will be reported as anomaly.
In other words: it could help to detect some Snowden type actions but it will not detect all Snowden type actions. And preventing such actions would be even more difficult, more likely is a more early detection after some harm was already done and thus limiting the impact.
add a comment |Â
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
3
down vote
A backup operator will have the permission and behavioral markers of someone that moves lots of data around. Like any sysadmin where there's no dedicated backup operator in place.
Snowden was a sysadmin. He would knew all the protection protocols in place. He could just impersonate anyone, from any area, download things, impersonate the next one, and keep doing that.
If it's common knowledge that there's no bulletproof protection against a dedicated attacker, imagine a trusted internal dedicated attacker with sysadmin privileges.
add a comment |Â
up vote
3
down vote
A backup operator will have the permission and behavioral markers of someone that moves lots of data around. Like any sysadmin where there's no dedicated backup operator in place.
Snowden was a sysadmin. He would knew all the protection protocols in place. He could just impersonate anyone, from any area, download things, impersonate the next one, and keep doing that.
If it's common knowledge that there's no bulletproof protection against a dedicated attacker, imagine a trusted internal dedicated attacker with sysadmin privileges.
add a comment |Â
up vote
3
down vote
up vote
3
down vote
A backup operator will have the permission and behavioral markers of someone that moves lots of data around. Like any sysadmin where there's no dedicated backup operator in place.
Snowden was a sysadmin. He would knew all the protection protocols in place. He could just impersonate anyone, from any area, download things, impersonate the next one, and keep doing that.
If it's common knowledge that there's no bulletproof protection against a dedicated attacker, imagine a trusted internal dedicated attacker with sysadmin privileges.
A backup operator will have the permission and behavioral markers of someone that moves lots of data around. Like any sysadmin where there's no dedicated backup operator in place.
Snowden was a sysadmin. He would knew all the protection protocols in place. He could just impersonate anyone, from any area, download things, impersonate the next one, and keep doing that.
If it's common knowledge that there's no bulletproof protection against a dedicated attacker, imagine a trusted internal dedicated attacker with sysadmin privileges.
answered 1 hour ago
ThoriumBR
19.3k44767
19.3k44767
add a comment |Â
add a comment |Â
up vote
1
down vote
Anomaly detection systems like Beehive make it easier than before to dig through lots of data and detect suspicious behavior. This means that it is possible for an analyst to focus on the more relevant data, process more data in shorter time and also use more detailed input data for the analysis. This way the chance is higher than before that somebody can detect unwanted behavior.
It is claimed (and I have no reason to doubt this claim) in the Beehive paper that the system can detect more incidents than the usually used systems - but it is not claimed that the system can detect every incident or even how much of all incidents it could detect. Thus, it might be that other systems only detect 10% of all incidents and Beehive detects 20%, which is good but not really satisfactory.
Could such a system detect somebody like Snowden? This depends a lot on how much and what kind and what detail of data is collected for analysis, how strict the existing security policies are in the first place so that policy violations can be logged and how much the illegal (as seen by the NSA) activities of Snowden differed from his usual work activity. The more it differs the more likely it can be detected by anomaly detection system. But the more similar illegal and legal activities are in terms of the logged data, the less likely is that illegal activities will be reported as anomaly.
In other words: it could help to detect some Snowden type actions but it will not detect all Snowden type actions. And preventing such actions would be even more difficult, more likely is a more early detection after some harm was already done and thus limiting the impact.
add a comment |Â
up vote
1
down vote
Anomaly detection systems like Beehive make it easier than before to dig through lots of data and detect suspicious behavior. This means that it is possible for an analyst to focus on the more relevant data, process more data in shorter time and also use more detailed input data for the analysis. This way the chance is higher than before that somebody can detect unwanted behavior.
It is claimed (and I have no reason to doubt this claim) in the Beehive paper that the system can detect more incidents than the usually used systems - but it is not claimed that the system can detect every incident or even how much of all incidents it could detect. Thus, it might be that other systems only detect 10% of all incidents and Beehive detects 20%, which is good but not really satisfactory.
Could such a system detect somebody like Snowden? This depends a lot on how much and what kind and what detail of data is collected for analysis, how strict the existing security policies are in the first place so that policy violations can be logged and how much the illegal (as seen by the NSA) activities of Snowden differed from his usual work activity. The more it differs the more likely it can be detected by anomaly detection system. But the more similar illegal and legal activities are in terms of the logged data, the less likely is that illegal activities will be reported as anomaly.
In other words: it could help to detect some Snowden type actions but it will not detect all Snowden type actions. And preventing such actions would be even more difficult, more likely is a more early detection after some harm was already done and thus limiting the impact.
add a comment |Â
up vote
1
down vote
up vote
1
down vote
Anomaly detection systems like Beehive make it easier than before to dig through lots of data and detect suspicious behavior. This means that it is possible for an analyst to focus on the more relevant data, process more data in shorter time and also use more detailed input data for the analysis. This way the chance is higher than before that somebody can detect unwanted behavior.
It is claimed (and I have no reason to doubt this claim) in the Beehive paper that the system can detect more incidents than the usually used systems - but it is not claimed that the system can detect every incident or even how much of all incidents it could detect. Thus, it might be that other systems only detect 10% of all incidents and Beehive detects 20%, which is good but not really satisfactory.
Could such a system detect somebody like Snowden? This depends a lot on how much and what kind and what detail of data is collected for analysis, how strict the existing security policies are in the first place so that policy violations can be logged and how much the illegal (as seen by the NSA) activities of Snowden differed from his usual work activity. The more it differs the more likely it can be detected by anomaly detection system. But the more similar illegal and legal activities are in terms of the logged data, the less likely is that illegal activities will be reported as anomaly.
In other words: it could help to detect some Snowden type actions but it will not detect all Snowden type actions. And preventing such actions would be even more difficult, more likely is a more early detection after some harm was already done and thus limiting the impact.
Anomaly detection systems like Beehive make it easier than before to dig through lots of data and detect suspicious behavior. This means that it is possible for an analyst to focus on the more relevant data, process more data in shorter time and also use more detailed input data for the analysis. This way the chance is higher than before that somebody can detect unwanted behavior.
It is claimed (and I have no reason to doubt this claim) in the Beehive paper that the system can detect more incidents than the usually used systems - but it is not claimed that the system can detect every incident or even how much of all incidents it could detect. Thus, it might be that other systems only detect 10% of all incidents and Beehive detects 20%, which is good but not really satisfactory.
Could such a system detect somebody like Snowden? This depends a lot on how much and what kind and what detail of data is collected for analysis, how strict the existing security policies are in the first place so that policy violations can be logged and how much the illegal (as seen by the NSA) activities of Snowden differed from his usual work activity. The more it differs the more likely it can be detected by anomaly detection system. But the more similar illegal and legal activities are in terms of the logged data, the less likely is that illegal activities will be reported as anomaly.
In other words: it could help to detect some Snowden type actions but it will not detect all Snowden type actions. And preventing such actions would be even more difficult, more likely is a more early detection after some harm was already done and thus limiting the impact.
edited 43 mins ago
answered 54 mins ago
Steffen Ullrich
110k12191255
110k12191255
add a comment |Â
add a comment |Â
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Simple answer: No, most certainly not. Snowden was someone who had privileged access and had the authority and reason to mass-download content (he was a sysadmin).
â forest
1 hour ago
But in the training case, they model everybody according to their behavior. So, after the training, a mass download will be a behavioral change that will produce an alert signal.
â kelalaka
1 hour ago
@kelalaka Not if mass-downloading was taking place during the training.
â TripeHound
1 hour ago
Unless mass-downloading is 1) not common and 2) it's not possible to just throttle the download.
â forest
1 hour ago
Why "mass download" is even considered suspicious. there are will be some sorts of constant "mass" downloads during everyday usage, was my first thought. What is mass download? 1 MB? 500 MB ? 5 GB? 500 GB? ...
â Croll
8 mins ago