ISIS Inspired Man held in Maryland for failed truck-ramming attack
April 9, 2019 | Brainwave Science
A man from Maryland was charged with stealing a truck to carry out a Nice-style attack. The 2016 truck attack in Nice, France claimed the life of 86 and resulted in non-fatal injuries to 458 people. The U.S. Attorney’s Office for the District of Maryland announced Monday it had charged Rondell Henry, 28, with interstate transportation of a stolen vehicle for allegedly stealing a U-Haul vehicle last month.
The government also filed a motion calling for Henry to be detained pending trial as a flight risk and a danger to the community. Henry said he was inspired by the Islamic State terror organization to carry out the attack. U.S. Attorney Robert K. Hurr said they continue to gather evidence, as well as review evidence already obtained as part of this ongoing investigation. Henry is set to appear in court for a detention hearing on Tuesday.
On March 26, Alexandria Police Department was alerted about a leased U-Haul vehicle that was stolen from a parking garage at a mall in Alexandria, Va.
The driver was being followed by a blue BMW, which records later revealed was registered to Henry, and when police arrived at the garage they found the BMW near where the U-Haul was stolen.
The U-Haul was located at the National Harbor in Maryland on March 27, and Henry was arrested the next day after law enforcement reviewed surveillance footage showing Henry parking and exiting the vehicle.
According to the detention motion, Henry harboured “hatred” for those who don’t practice the Muslim faith for two years and was inspired by watching videos of foreign terrorists to carry out an attack like the 2016 Nice attack, which IS claimed credit for.
Prosecutors said that after stealing the U-Haul, Henry drove around Dulles International Airport but didn’t find a large enough crowd to carry out the attack and drove to National Harbor.
If convicted, Henry faces a maximum sentence of 10 years in prison.
On the evening of 14 July 2016, a 19-tonne cargo truck was deliberately driven into crowds of people celebrating Bastille Day on the Promenade des Anglais in Nice, France, resulting in the deaths of 86 people and the injury of 458 others. A similar attack occurred in Germany, which was also claimed to have been carried out by the IS. In 2016, Tunisian asylum-seeker Anis Amri hijacked a truck and drove it into a crowded Christmas market in Berlin, killing 12 people and wounding dozens.
Terrorism is like a lizard’s tail or a starfish’s limb. Unless it is killed altogether, it can regenerate itself. There needs to be a multi-pronged approach to eliminate terrorism. Not only must the foot-soldiers be taken head-on, and the militants waiting in sleeper-cells be detected and arrested, but the information gathered from them should be collated with intelligence gathered from all sources so as to understand the terrorist organization and hierarchy. A merely reactive approach towards terrorism will not amount to anything.
It is important to screen asylum seekers and refugees for any terrorism training, IED/bomb-making training, exposure to radical propaganda and brainwashing, etc. It all sounds good in theory but using conventional techniques to conduct these screenings is ineffective and almost impossible. To find out terrorist sympathizers or members of sleeper cells among refugees is similar to looking for a needle in a haystack. This is the issue of collaboration and information sharing because agencies related to human trafficking, border control, and counter-terrorism must work together closely to arrive at a solution.
What comes to mind is a vast database of all investigations and interrogations which can be used on a case to case basis.
Europe is yet to recover from the migrant crisis, and more than half a million migrants are waiting in Libya to cross over to Italy. The USA is the land of immigrants itself and millions enter every year. It is impossible to tell who has come for what motive. Existing techniques such as torture and interrogation are simply ineffective and inefficient when dealing with refugees and asylum seekers in huge numbers.
The immigration agencies and the border control need to quickly equip themselves with the most modern screening tools which can identify if a person has even an iota of terrorism training, at the border or during immigration process itself. Moreover, citizens are equally susceptible to radicalization, and thus there must be a non-invasive, quick and accurate way to identify the wolf between the sheep.
Brainwave Science is a company based in Massachusetts, US which has embarked on a mission to provide cutting edge technology to law enforcement and investigation departments. Its breakthrough technology, called iCognative is a boon for the investigation departments all over the world. iCognative is a technology which was brought order to the otherwise chaotic and unpredictable world of investigation and interrogation. Brainwave Science has introduced a cutting-edge tool which has all the desired characteristics and can reduce the workload of the investigating agencies while increasing the accuracy of the screening of suspects. This revolutionary tool in the field of forensic science is called iCognative. The cost of interrogation using iCognative comes out to be immensely lower than conventional interrogation. Popular techniques like DNA and fingerprinting are very limited in their applicability. DNA and Fingerprints are recovered in only 1-2% of the cases. Lie detector tests are not foolproof. A iCognative test is not only applicable to 85-90% of all civil and criminal cases but also, it has no known countermeasures. It does not report false positives or false negatives.
It has an accuracy of 99.9% in detecting EOD/IED bomb knowledge, uncovering high intelligence value individuals, and establishing links between a suspect and known terrorist networks, places and events. It is much more than a screening test. It can be used to effectively determine the level of involvement in terrorist activity, help identify potential threats, even those who are members of sleeper cells or those who have been inactive for years, help verify hierarchal and leadership structure within terrorist organizations, detect potential threats within asylum applicants and refugee camps, and validate the possible links from database analysis techniques and methodologies.
Counter Terrorism investigators have always envisaged a tool like iCognative. Now it is a reality and is being used by agencies all over the world to validate potential threats and terrorist activity with reliability and accuracy.
iCognative uncovers concealed information by measuring brain waves. The test subject is made to wear a headset and exposed to stimuli containing information gathered from the investigation of the crime. The stimuli can be images, words, and phrases related to the crime. The iCognative system analyses the brain’s response to the stimulus and identifies whether the incriminating information is ‘present’ or ‘absent’ in the brain.
In this case, the Rondell Henry can be made to undergo the iCognative test. The stimuli can be IED/Bomb training manuals, details of the Nice truck-ramming attack and similar attacks like the 2019 Tokyo car attack, 2018 Terrorist attack against cyclists in Tajikistan, 2017 New York City truck attack, June 2017 London Bridge attack, etc. ISIS propaganda material used to radicalize people, pictures and detail of the U-Haul truck, time and location of its theft, CCTV footage of the Henry on the day of the theft and also previous days and weeks, places where his car was seen on the days and prior to it etc.
Every investigative agency across the world must have iCognative in their arsenal for fighting crime. It is only a matter of time before it will become the standard way to conduct a reliable and fair investigation.
iCognative is loved by law enforcement, investigators and the judiciary. This is because it is non-invasive, involves no torture, is easy to teach and learn, is highly portable and customizable in terms of language and function.
Main Source: AlBawaba
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