Filesystem Permission denied when saving keys

Well, this is disappointing but still:
Try with

: ~ / Downloads $ tar -zxvf dfu-util-0.8.tar.gz
dfu-util-0.8 /
dfu-util-0.8 / m4 /
dfu-util-0.8 / m4 / depcomp
dfu-util-0.8 / m4 / install-sh
dfu-util-0.8 / m4 / missing
dfu-util-0.8 / README
dfu-util-0.8 / configure.ac
dfu-util-0.8 / aclocal.m4
dfu-util-0.8 / Makefile.am
dfu-util-0.8 / Makefile.in
dfu-util-0.8 / config.h.in
dfu-util-0.8 / configure
dfu-util-0.8 / AUTHORS
dfu-util-0.8 / COPYING
dfu-util-0.8 / ChangeLog
dfu-util-0.8 / TODO
dfu-util-0.8 / autogen.sh
dfu-util-0.8 / devices.txt
dfu-util-0.8 / dfuse-pack.py
dfu-util-0.8 / src /
dfu-util-0.8 / src / Makefile.am
dfu-util-0.8 / src / Makefile.in
dfu-util-0.8 / src / prefix.c
dfu-util-0.8 / src / dfu_file.h
dfu-util-0.8 / src / dfu_file.c
dfu-util-0.8 / src / suffix.c
dfu-util-0.8 / src / main.c
dfu-util-0.8 / src / portable.h
dfu-util-0.8 / src / dfu_load.c
dfu-util-0.8 / src / dfu_load.h
dfu-util-0.8 / src / dfu_util.c
dfu-util-0.8 / src / dfu_util.h
dfu-util-0.8 / src / dfuse.c
dfu-util-0.8 / src / dfuse.h
dfu-util-0.8 / src / dfuse_mem.c
dfu-util-0.8 / src / dfuse_mem.h
dfu-util-0.8 / src / dfu.c
dfu-util-0.8 / src / dfu.h
dfu-util-0.8 / src / usb_dfu.h
dfu-util-0.8 / src / quirks.c
dfu-util-0.8 / src / quirks.h
dfu-util-0.8 / doc /
dfu-util-0.8 / doc / Makefile.am
dfu-util-0.8 / doc / Makefile.in
dfu-util-0.8 / doc / dfu-util.1
: ~ / Downloads $ dfu-util --version
dfu-util 0.5

Hi @Jairos,

If you’re using Ubuntu just cd to the directory you unpacked it into and run:

   ./configure
    make
    sudo make install

You can find more detailed build instructions on the link we posted, and here:

http://dfu-util.sourceforge.net/build.html

Thanks,
David

ok. @Dave: Thanks. Now , I will factory reset and new credentials. I’ll keep trying .
DFU_UTIL version is now 0.8.

Ok. @Dave, @kennethlimcp, @bko: Ok . I’m at the starting point when I tried to create a local cloud.

  1. Update DFU -UTIL as links and orientations.

  2. I Factory Reset

  3. $ spark setup.

Run a servo exercise manipulate HTML page with the servo using the spark cloud.

Now how I think the local cloud ?.

I follow the instructions kennethlimcp