SlideShare uma empresa Scribd logo
1 de 16
Computer
Viruses
By:Melnik Artem
&
Grigo Ruk
What is a Computer Virus?
 A computer virus is a computer program that
can copy itself and infect a computer without the
permission or knowledge of the owner.
 One of the first detected virus was the Creeper
virus in the early 70’s
 Before computer networks became widespread,
most viruses spread on removable media,
particularly floppy disk.
Basic Computer Viruses
 Trojan Horses
 appears as interesting program file but when installed
it allows intruders to access and read your files

 Worms
 virus that copies and multiplies itself by
using computer networks and security
flaws

 E-mail Viruses
 use e-mail messages to spread which allow it to
automatically forward itself to thousands of people
Types of Viruses
 Boot Sector Virus
 Infects the boot or MBR of diskettes and hard drives through the
sharing of infected disks and pirated software applications
 Once your hard drive is infected all diskettes that you use in your
computer will be infected

 Program Virus
 Becomes active when the program file (usually with
extensions .BIN, .COM, .EXE, .OVL, .DRV) carrying the virus is
opened
 It then makes copies of itself and will infect other programs on
the computer

 Multipartite Virus
 Hybrid of a Boot Sector and Program viruses
 It infects program files and when the infected program is active it
will affect the boot record
Types of Viruses
 Stealth Virus
 Disguises itself to prevent from being detected by antivirus
software
 It alters its file size or conceals itself in memory

 Polymorphic Virus
 Act like a chameleon, changing its virus signature (binary
pattern) every time it multiples and infects a new file

 Macro Virus
 Programmed as a macro embedded in a document, usually
found in Microsoft Word and Excel
 Once it gets in to your computer, every document you produce
will become infected
 Relatively new type of virus and may slip by your antivirus
software if you don't have the most recent version installed
Signs Your Computer is Infected
 Functions slower than






normal
Responds slowly and
freezes often
Restarts itself often
See uncommon error
messages, distorted
menus, and dialog boxes
Notice applications fail to
work correctly
Fail to print correctly
 First half of the 70'Late 60,s, early 70,s- "Rabbits" cloned







themselves occupied system resources, slowing down the productivity.
-"The Creeper" capable of entering a network by itself and transferring a
copy of itself to the system.
Early 80,s-Increasing number of programs written by individuals not by
software companies. Programs caused miner viruses called "Trojan horses".
1986'Brain virus' - by Amjad and Basit Farooq Alvi.
spread through floppy disks,
infected boot records and not computer hard drives
Lahore, Pakistani Brain, Brain-A and UIUC virus
-took over free space on the floppy disk and hid from detection
”disguised itself by displaying
the uninfected boot sector on the disk.”
1987-Lehigh virus
- the first memory resident file infector that attacked executable files and
took control when a file was opened

 The Jerusalem Virus
-had bugs that re-infected programs that were already infected
1988: Robert Morris made a worm that invaded ARPANET computers
- disabled 6,000 computers on the network by overflowing their memory banks
with copies of itself
1991: Norton Anti-Virus software
1999: "Melissa" virus
-infected thousands of computers very fast by sending copies of itself to 50
names in the address book on Outlook e-mail
- Led to an estimated $80 million in damage and record sales of anti-virus
products.
2000: "I Love You" virus
-was sent by email and infected 10 % of computers in only one day
-created by a young Filipino computer student who did not get punished
because then the Philippines had no laws against hacking which led to the
European Union's global Cybercrime Treaty.
2001: "Nimda" virus (days after 9/11)
-had 5 ways of infecting systems
 2004

MyDoom spreads through emails and file-sharing software faster
than any previous virus or worm.
 Allows hackers to access the hard drive of the infected computer.
An estimated one million computers running Windows are
affected by the fast-spreading Sasser computer worm.
 The worm does not cause irreparable harm to computers or data,

 2006

but it does slow computers and cause some to quit or reboot without
explanation.

Discovery of the first-ever malware trojan horse for Mac OS X

 2008
Torpig is a Trojan horse which affects Windows, turning off antivirus applications.
 It allows others to access the computer, modifies data, steals
confidential information and installs malware on the victim's
computer.

 2009
Conficker infects anywhere from 9 to 15 million Microsoft server
systems.
 French air force, Royal Navy warships and submarines,
Sheffield Hospital network, UK Ministry of Defence, German
Bundeswehr and Norwegian Police were all affected.
Total Number of Viruses by year
January 1985 1
January 1987 3
January 1989 6
January 1990 142
January 1991 357
January 1992 1,161
January 1993 2,482
January 1994 3,687
January 1995 5,626
January 1996 7,764
January 1997 11,037
January 1998 16,726
January 1999 40,850
January 2000 44,000
January 2001 48,000
January 2002 55,000
January 2003 62,000
Melissa
 Another virus that fired up the media was Melissa, a Word macro





virus.
When people received the host Word document via email and
opened it, the virus sent a copy of itself to the first 50 people in the
victim's address book.
Named after a topless dancer in Florida, the Melissa virus crashed
the email servers of corporations and governments in different
spots around the world.
The Computer Emergency Response Team, set up after Robert
Morris mucked up the Internet with his worm in 1988, estimated that
the virus hit 100,000 computers in its first weekend.
David L. Smith posted the infected file to an alt.sex usenet group
using a stolen AOL account. Initially he entered a plea of
innocence, but after being confronted with a maximum sentence of
40 years in prison, he eventually pled guilty and received a muchreduced sentence.
Love You, Love Bug
 By almost any measure, the so-called Love Bug was the most
damaging and costly virus ever. I don't know who comes up
with these whack figures, but according to Reuters the bug
cost the world $15 billion in lost productivity.

 The Love Bug spread far faster than Melissa. Unlike Melissa,

it would mail itself to everyone in your Outlook address book
-- most of whom would probably be delighted to read about
how you love them -- not just the first fifty. Moreover, it would
gobble up certain media files stored on your hard drive.
Did you know?
 One German newspaper

tragically lost 2,000
pictures from its archive.
 The perpetrator turned out
to be a 23-year-old Filipino
computer science student
who more or less
plagiarized all of his code.
 The lack of laws in the
Philippines covering
computer crimes, he pretty
much got away with his
crime.
Prevention
 Upload and use antivirus
software
 Be aware of the e-mails
and attachments you
open
 Check for updates on
antivirus software
regularly
 Make sure antivirus
software is installed
correctly
SourceS
http://www.tech-faq.com/history-of-computer-viruses.shtml
http://spamlaws.com/history.html
http://en.wikipedia.org/wiki/Computer_virus#History
http://www.infoplease.com/ipa/A0872842.html

Mais conteúdo relacionado

Mais procurados

Mais procurados (19)

Historyofviruses
HistoryofvirusesHistoryofviruses
Historyofviruses
 
Virus worm trojan
Virus worm trojanVirus worm trojan
Virus worm trojan
 
computer virus with full detail
computer virus with full detail computer virus with full detail
computer virus with full detail
 
Today's malware aint what you think
Today's malware aint what you thinkToday's malware aint what you think
Today's malware aint what you think
 
How computer works against thevirus or any threat
How computer works against thevirus or any threatHow computer works against thevirus or any threat
How computer works against thevirus or any threat
 
Malware- Types, Detection and Future
Malware- Types, Detection and FutureMalware- Types, Detection and Future
Malware- Types, Detection and Future
 
Nimda Worm
Nimda WormNimda Worm
Nimda Worm
 
New Wordpad Document
New Wordpad DocumentNew Wordpad Document
New Wordpad Document
 
Computer Worms
Computer WormsComputer Worms
Computer Worms
 
M
MM
M
 
εργασια
εργασιαεργασια
εργασια
 
Computer viruses
Computer virusesComputer viruses
Computer viruses
 
Computer viruses by joy chakraborty
Computer viruses by joy chakrabortyComputer viruses by joy chakraborty
Computer viruses by joy chakraborty
 
Information security
Information securityInformation security
Information security
 
Introductions To Malwares
Introductions To MalwaresIntroductions To Malwares
Introductions To Malwares
 
Ids 007 trojan horse
Ids 007 trojan horseIds 007 trojan horse
Ids 007 trojan horse
 
Computer Virus and Spyware
Computer Virus and SpywareComputer Virus and Spyware
Computer Virus and Spyware
 
Malware
MalwareMalware
Malware
 
Internet threat
Internet threatInternet threat
Internet threat
 

Destaque (7)

Square One All Practice Capability 2015 BLANK
Square One All Practice Capability 2015 BLANKSquare One All Practice Capability 2015 BLANK
Square One All Practice Capability 2015 BLANK
 
Poo
PooPoo
Poo
 
Pacotes
PacotesPacotes
Pacotes
 
Tratamento de erros
Tratamento de errosTratamento de erros
Tratamento de erros
 
Herança
HerançaHerança
Herança
 
Matrizes
MatrizesMatrizes
Matrizes
 
Vetores
VetoresVetores
Vetores
 

Semelhante a Virus09

Semelhante a Virus09 (20)

Viruses.ppt
Viruses.pptViruses.ppt
Viruses.ppt
 
Viruses.ppt
Viruses.pptViruses.ppt
Viruses.ppt
 
Viruses (2).ppt
Viruses (2).pptViruses (2).ppt
Viruses (2).ppt
 
Viruses.ppt
Viruses.pptViruses.ppt
Viruses.ppt
 
Viruses.ppt
Viruses.pptViruses.ppt
Viruses.ppt
 
Viruses (1).ppt
Viruses (1).pptViruses (1).ppt
Viruses (1).ppt
 
Viruses
VirusesViruses
Viruses
 
What is a virus and anti virus
What is a virus and anti virusWhat is a virus and anti virus
What is a virus and anti virus
 
COMPUTER VIRUSES AND WORMS.pdf
COMPUTER VIRUSES AND WORMS.pdfCOMPUTER VIRUSES AND WORMS.pdf
COMPUTER VIRUSES AND WORMS.pdf
 
Computer Virus
Computer Virus Computer Virus
Computer Virus
 
Viruses
VirusesViruses
Viruses
 
Computer viruses
Computer virusesComputer viruses
Computer viruses
 
Comp. Viruses
Comp. VirusesComp. Viruses
Comp. Viruses
 
Computer Viruses
Computer VirusesComputer Viruses
Computer Viruses
 
Virus worm trojan
Virus worm trojanVirus worm trojan
Virus worm trojan
 
History of Computer Virus
History of Computer Virus History of Computer Virus
History of Computer Virus
 
Computer Viruses and Classification lecture slides ppt
Computer Viruses and Classification lecture slides pptComputer Viruses and Classification lecture slides ppt
Computer Viruses and Classification lecture slides ppt
 
Virus worm trojan
Virus worm trojanVirus worm trojan
Virus worm trojan
 
Computer viruses
Computer virusesComputer viruses
Computer viruses
 
Presentation on virus
Presentation on virusPresentation on virus
Presentation on virus
 

Último

Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 

Último (20)

Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 

Virus09

  • 2. What is a Computer Virus?  A computer virus is a computer program that can copy itself and infect a computer without the permission or knowledge of the owner.  One of the first detected virus was the Creeper virus in the early 70’s  Before computer networks became widespread, most viruses spread on removable media, particularly floppy disk.
  • 3. Basic Computer Viruses  Trojan Horses  appears as interesting program file but when installed it allows intruders to access and read your files  Worms  virus that copies and multiplies itself by using computer networks and security flaws  E-mail Viruses  use e-mail messages to spread which allow it to automatically forward itself to thousands of people
  • 4. Types of Viruses  Boot Sector Virus  Infects the boot or MBR of diskettes and hard drives through the sharing of infected disks and pirated software applications  Once your hard drive is infected all diskettes that you use in your computer will be infected  Program Virus  Becomes active when the program file (usually with extensions .BIN, .COM, .EXE, .OVL, .DRV) carrying the virus is opened  It then makes copies of itself and will infect other programs on the computer  Multipartite Virus  Hybrid of a Boot Sector and Program viruses  It infects program files and when the infected program is active it will affect the boot record
  • 5. Types of Viruses  Stealth Virus  Disguises itself to prevent from being detected by antivirus software  It alters its file size or conceals itself in memory  Polymorphic Virus  Act like a chameleon, changing its virus signature (binary pattern) every time it multiples and infects a new file  Macro Virus  Programmed as a macro embedded in a document, usually found in Microsoft Word and Excel  Once it gets in to your computer, every document you produce will become infected  Relatively new type of virus and may slip by your antivirus software if you don't have the most recent version installed
  • 6. Signs Your Computer is Infected  Functions slower than      normal Responds slowly and freezes often Restarts itself often See uncommon error messages, distorted menus, and dialog boxes Notice applications fail to work correctly Fail to print correctly
  • 7.
  • 8.  First half of the 70'Late 60,s, early 70,s- "Rabbits" cloned      themselves occupied system resources, slowing down the productivity. -"The Creeper" capable of entering a network by itself and transferring a copy of itself to the system. Early 80,s-Increasing number of programs written by individuals not by software companies. Programs caused miner viruses called "Trojan horses". 1986'Brain virus' - by Amjad and Basit Farooq Alvi. spread through floppy disks, infected boot records and not computer hard drives Lahore, Pakistani Brain, Brain-A and UIUC virus -took over free space on the floppy disk and hid from detection ”disguised itself by displaying the uninfected boot sector on the disk.” 1987-Lehigh virus - the first memory resident file infector that attacked executable files and took control when a file was opened  The Jerusalem Virus -had bugs that re-infected programs that were already infected
  • 9. 1988: Robert Morris made a worm that invaded ARPANET computers - disabled 6,000 computers on the network by overflowing their memory banks with copies of itself 1991: Norton Anti-Virus software 1999: "Melissa" virus -infected thousands of computers very fast by sending copies of itself to 50 names in the address book on Outlook e-mail - Led to an estimated $80 million in damage and record sales of anti-virus products. 2000: "I Love You" virus -was sent by email and infected 10 % of computers in only one day -created by a young Filipino computer student who did not get punished because then the Philippines had no laws against hacking which led to the European Union's global Cybercrime Treaty. 2001: "Nimda" virus (days after 9/11) -had 5 ways of infecting systems
  • 10.  2004 MyDoom spreads through emails and file-sharing software faster than any previous virus or worm.  Allows hackers to access the hard drive of the infected computer. An estimated one million computers running Windows are affected by the fast-spreading Sasser computer worm.  The worm does not cause irreparable harm to computers or data,  2006 but it does slow computers and cause some to quit or reboot without explanation. Discovery of the first-ever malware trojan horse for Mac OS X  2008 Torpig is a Trojan horse which affects Windows, turning off antivirus applications.  It allows others to access the computer, modifies data, steals confidential information and installs malware on the victim's computer.  2009 Conficker infects anywhere from 9 to 15 million Microsoft server systems.  French air force, Royal Navy warships and submarines, Sheffield Hospital network, UK Ministry of Defence, German Bundeswehr and Norwegian Police were all affected.
  • 11. Total Number of Viruses by year January 1985 1 January 1987 3 January 1989 6 January 1990 142 January 1991 357 January 1992 1,161 January 1993 2,482 January 1994 3,687 January 1995 5,626 January 1996 7,764 January 1997 11,037 January 1998 16,726 January 1999 40,850 January 2000 44,000 January 2001 48,000 January 2002 55,000 January 2003 62,000
  • 12. Melissa  Another virus that fired up the media was Melissa, a Word macro     virus. When people received the host Word document via email and opened it, the virus sent a copy of itself to the first 50 people in the victim's address book. Named after a topless dancer in Florida, the Melissa virus crashed the email servers of corporations and governments in different spots around the world. The Computer Emergency Response Team, set up after Robert Morris mucked up the Internet with his worm in 1988, estimated that the virus hit 100,000 computers in its first weekend. David L. Smith posted the infected file to an alt.sex usenet group using a stolen AOL account. Initially he entered a plea of innocence, but after being confronted with a maximum sentence of 40 years in prison, he eventually pled guilty and received a muchreduced sentence.
  • 13. Love You, Love Bug  By almost any measure, the so-called Love Bug was the most damaging and costly virus ever. I don't know who comes up with these whack figures, but according to Reuters the bug cost the world $15 billion in lost productivity.  The Love Bug spread far faster than Melissa. Unlike Melissa, it would mail itself to everyone in your Outlook address book -- most of whom would probably be delighted to read about how you love them -- not just the first fifty. Moreover, it would gobble up certain media files stored on your hard drive.
  • 14. Did you know?  One German newspaper tragically lost 2,000 pictures from its archive.  The perpetrator turned out to be a 23-year-old Filipino computer science student who more or less plagiarized all of his code.  The lack of laws in the Philippines covering computer crimes, he pretty much got away with his crime.
  • 15. Prevention  Upload and use antivirus software  Be aware of the e-mails and attachments you open  Check for updates on antivirus software regularly  Make sure antivirus software is installed correctly