s this common?
On Tue, Aug 15, 2017 at 12:24 PM, Dianne Skoll
wrote:
> On Tue, 15 Aug 2017 12:02:23 -0500
> Shivram Krishnan wrote:
>
> > Thanks for the response Bill. I have got a couple of responses from
> > this group, which agree with what you are saying - they have their
&
, Bill Cole <
sausers-20150...@billmail.scconsult.com> wrote:
> On 14 Aug 2017, at 18:00, Shivram Krishnan wrote:
>
> Hi,
>>
>>
>> I am a graduate student at the University of Southern California and am
>> currently researching on the impact of false positive
Hi,
I am a graduate student at the University of Southern California and am
currently researching on the impact of false positives in blacklists. I am
aware that spamassassin uses blacklists in its rule based system to stop
spam messages. But since it is a rule based system, even if there are fal
.
Also getting the IP's in anonymized last octet would also help , as we are
creating Blacklists in terms of Prefixes.
On Wed, Jun 29, 2016 at 8:41 AM, Antony Stone <
antony.st...@spamassassin.open.source.it> wrote:
> On Wednesday 29 June 2016 at 17:35:28, Shivram Krishnan wrote:
lt.com> wrote:
> On 29 Jun 2016, at 1:00, Shivram Krishnan wrote:
>
> Hello Bill,
>>
>> Thank you so much for your views. I agree that your customers would not
>> like it if you share information. But Oliver suggested , I need only the
>> source IP address
> On 29 Jun 2016, at 1:00, Shivram Krishnan wrote:
>
> Hello Bill,
>>
>> Thank you so much for your views. I agree that your customers would not
>> like it if you share information. But Oliver suggested , I need only the
>> source IP addresses of the Spam and Ham
?
On Tue, Jun 28, 2016 at 9:04 PM, Bill Cole <
sausers-20150...@billmail.scconsult.com> wrote:
> On 28 Jun 2016, at 20:33, Shivram Krishnan wrote:
>
> Hey Guys,
>>
>> I am a researcher at the University of Southern California (
>> https://steel.isi.edu/ ), and I have b
Hey Guys,
I am a researcher at the University of Southern California (
https://steel.isi.edu/ ), and I have been working on making Blacklists
more effective by combining different sources of Blacklists, and creating a
Blacklists specific for a particular network.
Though I have devised a mechanis
Agreed that I do not have experience. I am just playing my cards out here
to get a corpus of mails.
Thanks guys!
On Tue, May 31, 2016 at 11:20 AM, Reindl Harald
wrote:
>
>
> Am 31.05.2016 um 20:16 schrieb Antony Stone:
>
>> On Tuesday 31 May 2016 at 20:11:14, Shivram Krishn
um 19:55 schrieb Shivram Krishnan:
>
>> There will a point where the decision to drop the mail is made based on
>> the headers. Cant we log it there?
>>
>
> SA don't make any decisions of drop / reject
> the glue does - spamass-milter, amavis or whatever
>
Hello Reindl,
There will a point where the decision to drop the mail is made based on the
headers. Cant we log it there?
On Tue, May 31, 2016 at 10:30 AM, Reindl Harald
wrote:
>
>
> Am 31.05.2016 um 19:25 schrieb Shivram Krishnan:
>
>> Thanks guys.
>>
>> Wha
f mails. And I agree
that there is no point evaluating my study on after the event mails.
To evaluate the performance of my study I am using SA.
On Tue, May 31, 2016 at 10:44 AM, Antony Stone <
antony.st...@spamassassin.open.source.it> wrote:
> On Tuesday 31 May 2016 at 15:47:56, Shivr
tlr wrote:
>
>> On May 30, 2016, at 11:06 PM, Shivram Krishnan
>> wrote:
>>
>>> 2) I have set a threshold of -10 to see how spamassassin assigns a score
>>> for every mail.
>>>
>> No. Do not do this.
>>
>
> Instead, set this option in
I might be forced to do this. Take the corpus from Mailinator and manually
mark it as SPAM or HAM and use sa-learn to train spamassassin.
But this is what is confusing me. doesnt SA use a lot more tags, to
determine if it is a SPAM or HAM? does this mean that sa-learn is not only
for bayes but als
false positives we plan to use SA.
On Tue, May 31, 2016 at 6:43 AM, Shivram Krishnan
wrote:
> The data set which i use for bayes consists of both ham and spam. (
> https://www.cs.cmu.edu/~./enron/)
>
> Lets consider a scenario, where I have a domain and I point it to a
> mailserver
The data set which i use for bayes consists of both ham and spam. (
https://www.cs.cmu.edu/~./enron/)
Lets consider a scenario, where I have a domain and I point it to a
mailserver. It might take a while for me to generate 50,000 mails a day (
mailinator provides me this) . I need to embed multipl
for me to decide if it is SPAM or not.
What do you guys suggest me to do in this case? Is there a better way to do
it?
On Tue, May 31, 2016 at 1:48 AM, Reindl Harald
wrote:
>
>
> Am 31.05.2016 um 08:18 schrieb Shivram Krishnan:
>
>> It is not on production. I am using t
It is not on production. I am using this to evaluate spamassassin.
On Mon, May 30, 2016 at 10:38 PM, @lbutlr wrote:
> On May 30, 2016, at 11:06 PM, Shivram Krishnan
> wrote:
> > 2) I have set a threshold of -10 to see how spamassassin assigns a score
> for every mail.
>
&g
al 'Received:' headers which have '()' where
> there should be at least the IP address of the incoming connection.
>
> This indicates that the message has either been tampered with or is from a
> postfix system that somebody has messed up the configuration.
>
>
&
Hey guys,
I am testing spamassassin on a SPAM/HAM corpus of mails. Spamassassin is
not picking up an obvious spam like in this case
http://pastebin.com/MbNRNFWy .
I have followed the guidelines on
https://wiki.apache.org/spamassassin/ImproveAccuracy .
Let me know how to catch these type of Spams
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