Can the next ELECTIONS be HACKED?YES YES да да да
Computers belonging to important people in electoral campaigns are still exposed, and lack secure cyber security. Consider following-
C4ISR stands for Command, Control, Communications, Computers, Intelligence, Surveillance & Reconnaissance. C4ISR can be extended to political campaigns. The C4ISR system is a network of networks is vulnerable to similar attacks called cyber attacks
fake news- organic and paid ads to discredit using social media
spear phishing-the fraudulent practice of sending emails ostensibly from a known or trusted sender in order to induce targeted individuals to reveal confidential information. This can be directed on campaign workers
An advanced persistent threat (APT)-a prolonged and targeted cyberattack in which an intruder gains access to a network and remains undetected for an extended period of time. The intention of an APT attack is usually to monitor network activity and steal data rather than to cause damage to the network or organization. This can and was be directed at party and candidate networks
Unless a national cyber security force extends to election commission to protect cyber attacks during an electoral cycle is established democracy will continue to be hostage to the hardest hackers.
Wireshark is the world’s foremost and widely-used network protocol analyzer. It lets you see what’s happening on your network at a microscopic level and is the de facto (and often de jure) standard across many commercial and non-profit enterprises, government agencies, and educational institutions. Wireshark development thrives thanks to the volunteer contributions of networking experts around the globe and is the continuation of a project started by Gerald Combs in 1998.
Step 1: Add the stable official PPA. To do this, go to terminal by pressing Ctrl+Alt+T and run:
sudo add-apt-repository ppa:wireshark-dev/stable
Step 2: Update the repository:
sudo apt-get update
Step 3: Install wireshark 2.0:
sudo apt-get install wireshark
Step 4: Run wireshark:
If you get a error
couldn't run /usr/bin/dumpcap in child process: Permission Denied. go to the terminal again and run:
sudo dpkg-reconfigure wireshark-common
YES to the message box. This adds a wireshark group. Then add user to the group by typing
sudo adduser $USER wireshark restart your machine (/sbin/shutdown -r now) and open wireshark
sudo apt-get install python-elixir python-qt4 xsltproc
sudo apt-get install nmap hydra cutycapt
sudo apt-get install ldap-utilsrwhorsh-clientx11-apps finger
sudo apt install git
sudo git clone https://github.com/secforce/sparta.git
/usr/share$ cd sparta
sudo cp sparta /usr/bin
/usr/bin$ sudo chmod +x sparta
/usr/bin$ sudo apt install python-pyside.qtwebkit
Be a data scientist in 6 months. Learn R or SAS or Python in 6 weeks. Learn Data science by doing one capstone project on one dataset.
Sorry mate, there are no short cuts to success.
Your real data science journey begins AFTER you learn the statistics AFTER you learn the techniques AFTER you learn the tools like R/SAS/Python.
A couple of datasets like Iris / Boston / German Credit / Scraping Tweets wont do it. A few weeks on kaggle wont do it.
You probably need to spend a few more months on Kaggle and a few more months on competitive programming like www.hackerrank.com will bring your data science dreams closer.
Disclaimer-I have interviewed potential data scientists and I have taught on some of these kind of courses. #datascience #python #programming #r #statistics #datasets
Internships are the magic that a student to convert to data scientist. Not everyone can solve Kaggle contests while still in engineering or other schools. Not everyone has the money to pay for private institute’s training which basically teach R, Python or SAS but not analytical thinking when confronted with a messy real life dataset.
A project in such training is worth much less than the experience of internships.
Companies who have existing data science teams should also try and give internships to create a steadier supply of data scientists for their operations besides building a bigger brand in data science recruitment.
Meetups and LinkedIn groups( Facebook groups) are good places to offer internships and students should make attending Meetups as a pseudo proxy part of curriculum with the goal of landing internships in each year of their summer/winter break. #analytics #recruiting #python #r #meetup #engineers #internships #datascience