Quiz 1 Posted on DEN 8 multiple-choice questions

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Presentation transcript:

Quiz 1 Posted on DEN 8 multiple-choice questions Open book but no Internet Due by Wed 3/7 Should be taken before you start working on your Firewalls lab You will retake the same test as Quiz 2 after the lab (not posted yet) Grading: If you take both quizzes I’ll just use the higher grade. If you skip one I’ll average both grades.

Report 2 Technically Due Today You can take a week of a grace period You should receive your report 1 grade today Look where you lost points and how you can improve If you already submitted report 2 and want to resubmit you can do so through the system

TCP SYN Flood Attacker sends lots of TCP SYN packets Victim sends an ack, allocates space in memory Attacker never replies Goal is to fill up memory before entries time out and get deleted Usually spoofed traffic Otherwise patterns may be used for filtering OS at the attacker or spoofed address may send RST and free up memory

TCP SYN Cookies Effective defense against TCP SYN flood Victim encodes connection information and time in ACK number Must be hard to craft values that get encoded into the same ACK number – use crypto for encoding Memory is only reserved when final ACK comes Only the server must change But TCP options are not supported And lost SYN ACKs are not repeated

Small-Packet Floods Overwhelm routers Create a lot of pps Exhaust CPU Most routers can’t handle full bandwidth’s load of small packets No real solution, must filter packets somehow to reduce router load

Shrew Attack Periodically slam the victim with short, high-volume pulses Lead to congestion drops on client’s TCP traffic TCP backs off If loss is large back off to 1 MSS per RTT Attacker slams again after a few RTTs Solution requires TCP protocol changes Tough to implement since clients must be changed

Flash-Crowd Attack Generate legitimate application traffic to the victim E.g., DNS requests, Web requests Usually not spoofed If enough bots are used no client appears too aggressive Really hard to filter since both traffic and client behavior seem identical between attackers and legitimate users

Reflector Attack Generate service requests to public servers spoofing the victim’s IP Servers reply back to the victim overwhelming it Usually done for UDP and ICMP traffic (TCP SYN flood would only overwhelm CPU if huge number of packets is generated) Often takes advantage of amplification effect – some service requests lead to huge replies; this lets attacker amplify his attack

Sample Research Defenses Pushback Traceback SOS Proof-of-work systems Human behavior modeling

Pushback1 1”Controlling high bandwidth aggregates in the network,” Mahajan, Bellovin, Floyd, Paxson, Shenker, ACM CCR, July 2002 Goal: Preferentially drop attack traffic to relieve congestion Local ACC: Enable core routers to respond to congestion locally by: Profiling traffic dropped by RED Identifying high-bandwidth aggregates Preferentially dropping aggregate traffic to enforce desired bandwidth limit Pushback: A router identifies the upstream neighbors that forward the aggregate traffic to it, requests that they deploy rate-limit

Can it Work? Even a few core routers are able to control high-volume attacks Separation of traffic aggregates improves current situation Only traffic for the victim is dropped Drops affect a portion containing the attack traffic Likely to successfully control the attack, relieving congestion in the Internet Will inflict collateral damage on legitimate traffic

Advantages and Limitations Routers can handle high traffic volumes Deployment at a few core routers can affect many traffic flows, due to core topology Simple operation, no overhead for routers Pushback minimizes collateral damage by placing response close to the sources Pushback only works in contiguous deployment Collateral damage is inflicted by response, whenever attack is not clearly separable Requires modification of existing core routers

Traceback1 Goal: locate the agent machines 1“Practical network support for IP Traceback,” Savage, Wetherall, Karlin, Anderson, ACM SIGCOMM 2000 Goal: locate the agent machines Each packet header may carry a mark, containing: EdgeID (IP addresses of the routers) specifying an edge it has traversed The distance from the edge Routers mark packets probabilistically If a router detects half-marked packet (containing only one IP address) it will complete the mark Victim under attack reconstructs the path from the marked packets

Traceback and IP Spoofing Traceback does nothing to stop DDoS attacks It only identifies attackers’ true locations Comes to a vicinity of attacker If IP spoofing were not possible in the Internet, traceback would not be necessary There are other approaches to filter out spoofed traffic

Can it Work? Incrementally deployable, a few disjoint routers can provide beneficial information Moderate router overhead (packet modification) A few thousand packets are needed even for long path reconstruction Does not work well for highly distributed attacks Path reassembly is computationally demanding, and is not 100% accurate: Path information cannot be used for legal purposes Routers close to the sources can efficiently block attack traffic, minimizing collateral damage

Advantages and Limitations Incrementally deployable Effective for non-distributed attacks and for highly overlapping attack paths Facilitates locating routers close to the sources Packet marking incurs overhead at routers, must be performed at slow path Path reassembly is complex and prone to errors Reassembly of distributed attack paths is prohibitively expensive

SOS1 1“ SOS: Secure Overlay Services,” Keromytis, Misra, Rubensteain, ACM SIGCOMM 2002 Goal: route only “verified user” traffic to the server, drop everything else Clients use overlay network to reach the server Clients are authenticated at the overlay entrance, their packets are routed to proxies Small set of proxies are “approved” to reach the server, all other traffic is heavily filtered out

SOS User first contacts nodes that can check its legitimacy and let him access the overlay – access points An overlay node uses Chord overlay routing protocol to send user’s packets to a beacon Beacon sends packets to a secret servlet Secret servlets tunnel packets to the firewall Firewall only lets through packets with an IP of a secret servlet Secret servlet’s identity has to be hidden, because their source address is a passport for the realm beyond the firewall Beacons are nodes that know the identity of secret servlets If a node fails, other nodes can take its role

Can It Work? SOS successfully protects communication with a private server: Access points can distinguish legitimate from attack communications Overlay protects traffic flow Firewall drops attack packets Redundancy in the overlay and secrecy of the path to the target provide security against DoS attacks on SOS

Advantages And Limitations Ensures communication of “verified user” with the victim Resilient to overlay node failure Resilient to DoS on the defense system Does not work for public service Traffic routed through the overlay travels on suboptimal path Brute force attack on links leading to the firewall still possible

Client Puzzles1 Goal: defend against connection depletion attacks 1“Client puzzles: A cryptographic countermeasure against connection depletion attacks,” Juels, Brainard, NDSS 1999 Goal: defend against connection depletion attacks When under attack: Server distributes small cryptographic puzzles to clients requesting service Clients spend resources to solve the puzzles Correct solution, submitted on time, leads to state allocation and connection establishment Non-validated connection packets are dropped Puzzle generation is stateless Client cannot reuse puzzle solutions Attacker cannot make use of intercepted packets

Can It Work? Client puzzles guarantee that each client has spent a certain amount of resources Server determines the difficulty of the puzzle according to its resource consumption Effectively server controls its resource consumption Protocol is safe against replay or interception attacks Other flooding attacks will still work

Advantages And Limitations Forces the attacker to spend resources, protects server resources from depletion Attacker can only generate a certain number of successful connections from one agent machine Low overhead on server Requires client modification Will not work against highly distributed attacks Will not work against bandwidth consumption attacks (Defense By Offense paper changes this)