You? Target of Artificial intelligence Cyber Attacks – News ! You Have To Understand

ARTIFICIAL INTELLIGENCE 

CYBER ATTACKS

The next major cyber attack could involve Artificial Intelligence Expert Systems. It could even happen very early: At a recent cybersecurity conference, 62 industry professionals, out of the 100 questioned, said they thought the first AI-enhanced cyberattack could come in the next 12 months.

Artificial Intelligence Powered Cyber Attacks

This doesn’t mean robots will be marching down Your Main Streets. Rather, artificial intelligence will make existing cyber attack efforts – things like to examine theft, denial-of-service attacks, and password cracking – more powerful and more efficient. 

This is dangerous enough – this type of hacking can steal money, cause emotional harm and even injure or kill people. 

Larger attacks can cut power to hundreds of thousands of people, shut down hospitals and even affect national security.

Way to Analyze Cyber Attacks with AI

Adding AI to today’s cybercrime and cybersecurity world will escalate what is already a rapidly changing arms race between attackers and defenders.

Automated Faster Attacks

Beyond computers’ lack of need for food and sleep – needs that limit human hackers’ efforts, even when they work in teams – automation can make complex attacks much faster and more effective.

To date, the effects of automation have been limited. Very rudimentary AI-like capabilities have for decades given virus programs the ability to self-replicate, spreading from computer to computer without specific human instructions. 

In addition, programmers have used their skills to automate different elements of hacking efforts. 

Distributed attacks, for example, involve triggering a remote program on several computers or devices to overwhelm servers. The attack that shut down large sections of the internet in October 2016 used this type of approach. 

In some cases, common attacks are made available as a script that allows an unsophisticated user to choose a target and launch an attack against it.

Improved adaptation

AI-enabled attackers will also be much faster to react when they encounter resistance, or when cybersecurity experts fix weaknesses that had previously allowed entry by unauthorized users. 

The AI may be able to exploit another vulnerability, or start scanning for new ways into the system – without waiting for human instructions.

This could mean that human responders and defenders find themselves unable to keep up with the speed of incoming attacks. 

Avoiding the dangers

Operating autonomously could lead AI systems to attack a system it shouldn’t, or cause unexpected damage. 

For example, software started by an attacker intending only to steal money might decide to target a hospital computer in a way that causes human injury or death. 

The potential for unmanned aerial vehicles to operate autonomously has raised similar questions of the need for humans to make the decisions about targets.

AI Powered Cyber Attacks can Hack Your Facebook, Youtube, Amazon and other accounts as well and can target your money for doing this.

DDoS Attack - Working and Tools

DDoS Attack

What is DDoS Attack?

• Distributed denial of service (DDoS) attacks is a subclass of denial of service (DoS) attacks. A DDoS attack involves multiple connected online devices, collectively known as a Botnet, which is used to overwhelm a target website with fake traffic.

• A distributed denial-of-service (DDoS) attack is a malicious attempt to disrupt normal traffic of a targeted server, service or network by overwhelming the target or its surrounding infrastructure with a flood of Internet traffic.

• From a high level, a DDoS attack is like a traffic jam clogging up with the highway, preventing regular traffic from arriving at its desired destination.

Difference Between DoS and DDoS Attack?

In a DoS attack, a perpetrator uses a single Internet connection to either exploit a software vulnerability or flood a target with fake requests—usually in an attempt to exhaust server resources (e.g., RAM and CPU).

On the other hand, distributed denial of service (DDoS) attacks is launched from multiple connected devices that are distributed across the Internet. These multi-person, multi-device barrages are generally harder to deflect, mostly due to the sheer volume of devices involved. Unlike single-source DoS attacks.

DDoS attacks also differ in the manner of their execution. Broadly speaking, DoS attacks are launched using homebrewed scripts or DoS tools (e.g., Low Orbit Ion Canon), while DDoS attacks are launched from botnets — large clusters of connected devices (e.g., cell phones, PCs or routers) infected with malware that allows remote control by an attacker.

How does a DDoS attack work?

A DDoS attack requires an attacker to gain control of a network of online machines in order to carry out an attack. Computers and other machines (such as IoT devices) are infected with malware, turning each one into a bot (or zombie). The attacker then has remote control over the group of bots, which is called a botnet.

Once a botnet has been established, the attacker is able to direct the machines by sending updated instructions to each bot via a method of remote control. When the IP address of a victim is targeted by the botnet, each bot will respond by sending requests to the target, potentially causing the targeted server or network to overflow capacity, resulting in a denial-of-service to normal traffic. Because each bot is a legitimate Internet device, separating the attack traffic from normal traffic can be difficult.

What are common types of DDoS attacks?

Different DDoS attack vectors target varying components of a network connection. In order to understand how different DDoS attacks work, it is necessary to know how a network connection is made. A network connection on the Internet is composed of many different components or “layers”. Like building a house from the ground up, each step in the model has a different purpose. The OSI model, shown below, is a conceptual framework used to describe network connectivity in 7 distinct layers.

There are 3 Types of Attacks  -

1. Application Layer attack

2. Protocol Attack

3. Volumetric Attack

Tools Used in DoS/DDoS Attacks -

1. Slowloris

2. LOIC ( Low Orbit Ion Cannon )

3. GoldenEye

4. HOIC ( High Orbit Ion Cannon )

5. XOIC

6. RUDY ( R U Dead Yet ? )

7. TOR's Hammer

8. THC-SSL-DoS

9. Pyloris

10. HULK ( Http Unbreakable Load King )

Andriod Tools -

1. AnDOSid

2. LIOC

Latest Trends in Computer Science

LATEST TRENDS IN COMPUTER SCIENCE

Quoting J. Ullman “Computer Science is a science of abstraction -creating the right model for a problem and devising the appropriate merchandisable techniques to solve it.” This quote clearly describes the real essence of computer science.

The new areas that have been catching the attention of researchers in the field of Computer Science recently but rather lately are as mentioned below -

1. ARTIFICIAL INTELLIGENCE

With the global robotics industry forecast to be worth US$38 billion by 2018, a large portion of this growth is down to the strength of interest and investment in artificial intelligence (AI) – one of the most controversial and intriguing areas of computer science research. 

The technology is still in its early stages, but tech giants like Facebook, Google and IBM are investing huge amounts of money and resources into AI research. 

There’s certainly no shortage of opportunities to develop real-world applications of the technology, and there’s immense scope for break-through moments in this field.

AI has changed over time, but at the core, there has always been the idea of building machines which are capable of thinking like humans.

Systems such as IBM’s Watson cognitive computing platform use high-level simulations of human neurological processes to carry out an ever-growing range of tasks without being specifically taught how to do them.

2. BIOINFORMATICS

A fascinating application of big data, bioinformatics, or the use of programming and software development to build enormous datasets of biological information for research purposes, carries enormous potential. 

Linking big pharma companies with software companies, bioinformatics is growing in demand and offers good job prospects for computer science researchers and graduates interested in biology, medical technology, pharmaceuticals and computer information science.  

Bioinformaticians develop systems to gather data. A key aspect of bioinformatics is the creation of data algorithms and specialized computer software to identify and classify components of a biological system, such as DNA and protein sequences. They consult with other scientists and researchers to analyze data sets.

Here biological Problems are solved using computer codes. Therefore, Bioinformatics career opportunities are mainly based on Research and doing masters in Bioinformatics, perhaps would get you a job with a high paid salary.

3. BIG DATA ANALYTICS

Back in 2012, the Harvard Business Review branded data science the ‘sexiest job’ of the 21 century. Yes, you read that correctly. 

There has been a surge in demand for experts in this field and doubled efforts on the part of brands and agencies to boost salaries and attract data science talents. 

From banking to healthcare, big data analytics is everywhere, as companies increasingly attempt to make better use of the enormous datasets they have, in order to personalize and improve their services.

Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers.

Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware.

4. Virtual Reality and Augmented Reality

After 2016 VR promises to be the tipping point, as VR technologies reach a critical mass of functionality, reliability, ease of use, affordability, and availability. 

Augmented reality (AR) adds digital elements to a live view often by using the camera on a smartphone. Virtual reality (VR) implies a complete immersion experience that shuts out the physical world.

Movie studios are partnering with VR vendors to bring content to market. News organizations are similarly working with VR companies to bring immersive experiences of news directly into the home, including live events.

The stage is set for broad adoption of VR beyond entertainment and gaming — to the day when VR will help change the physical interface between man and machine, propelling a world so far only envisioned in science fiction. 

At the same time, the use of augmented reality (AR) is expanding. Whereas VR replaces the actual physical world, AR is a live direct or indirect view of a physical, real-world environment whose elements are augmented (or supplemented) by computer-generated sensory input, such as sound, video, graphics or GPS data. 

With the help of advanced AR technology (e.g., adding computer vision and object recognition), the information about the surrounding real world of the user becomes interactive and can be manipulated digitally.

5. EDGE COMPUTING

Edge computing allows data produced by the internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.

Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, healthcare, telecommunications, and finance.

Edge computing is a “mesh network of microdata centers that process or store critical data locally and push all received data to a central data center or cloud storage repository, in a footprint of less than 100 square feet,” according to research firm IDC.

“In most scenarios, the presumption that everything will be in the cloud with a strong and stable fat pipe between the cloud and the edge device – that’s just not realistic,” says Helder Antunes, senior director of corporate strategic innovation at Cisco.

There is just a basic knowledge about the trends and you can grow even more by searching more on the internet.